JP4838845B2 - Teaching materials, brain-rearing devices and programs using addresses for brain classification - Google Patents

Description

  The present invention is based on a predetermined function and role in the brain, in accordance with a change in nerve activity, oxygen consumption increases, or brain activity adjustment function by activation and sedation works The present invention relates to a teaching material, a brain-rearing apparatus, and a program that use a brain classification address that is a number (alphanumeric characters, etc.) that is divided and assigned.

  Traditionally, in the classification of the brain, so-called cerebral localization theory was proposed by the German anatologist Gall (1758-1828) at the beginning of the 19th century.

  After that, as a typical cerebral classification to date, for example, as shown in FIG. 66, the cerebrum is divided into four (eight on the left and right), frontal lobe, parietal lobe, temporal lobe, and occipital lobe. Is known (hereinafter referred to as Conventional Example 1).

  Furthermore, as shown in FIG. 67 (A), it is known that brain cells of a dead person are carefully examined with a microscope, and numbers are assigned to brain diagrams according to cell types. This is a classification proposed in 1907 by a German pathologist, Dr. Broadman (hereinafter referred to as Conventional Example 2).

  FIG. 67B is an MRI brain photograph. The MRI brain image looks like two shades of color, like a black pattern with a gray border. This gray is called the cortex, and it is a collection of nerve cells and appears to surround a black pattern with a width of 2-3 mm. The black pattern is a collection of fibers that are white and not white, in fact white matter.

  FIG. 68 is an explanatory diagram for explaining what the brain is classified according to the order of the development of myelination up to the age of 3 years, proposed by Flekschig (1920), (A) is the lateral surface of the brain, (B) shows the inner surface of the brain. In FIG. 68 (A), from the viewpoint of pathology (Fleckzig's myelin sheath development classification), the development area is an area where the body of A is moved first. A region where the sound of B is heard and the light of C is observed develops between 1 and 2 months after birth (hereinafter referred to as Conventional Example 3).

  The human brain as a whole develops in the order of “white part” → “gray part” → “black part”. That is, the child first develops an area for inputting information from the five senses (taste, touch, smell, vision, and hearing) to the brain. Thereafter, an area for receiving and analyzing information input in detail is developed around the input system. In addition, advanced detailed information will be closely linked to each other.

  By the way, in the past, in order to study and study, I received explanations from teachers and lecturers at cram schools and schools, listened to them, and took notes. When I studied by myself, teaching materials such as drill question book, study reference book, and study question book were used.

  The contents of conventional teaching materials are created for each subject such as mathematics, Japanese language, science, society, etc.For example, even in the case of mathematics, it follows mainly the educational guidance guidelines of the Ministry of Education, Culture, Sports, Science and Technology, such as addition, subtraction, and graphics. It was edited.

  In addition to simple problems, along with difficult problems, educational materials are edited and scored accordingly, and the respondents of the problem write the answers, know the scores by combining the answers, and understand the problem collection I knew the degree of learning and achievement.

  Furthermore, it was common to create educational materials appropriate for the age.

  In recent years, various teaching materials and the like have been proposed to activate and train the brain to enhance the brain-rearing effect (learning effect).

  For example, in Patent Document 1, the question space of each body page has one or more question fields in which calculation problems are collectively arranged for each common calculation type, and an evaluation check section is provided in each question field. In addition, there has been proposed a calculation drill in which the evaluation check unit is made up of various symbols or coloring by characters. According to this calculation drill, calculation exercises can be performed for each type of calculation, and self-evaluation is facilitated to improve the learning effect (hereinafter referred to as Conventional Example 4).

  Further, Patent Document 2 allows a user to operate a short-term memory function and an information operation function in the frontal association area simultaneously or individually, and further, an input selection function, a planning function, an action selection function, an interference elimination function in the frontal association area, And a single or a plurality of behavioral tasks in which any one of the monitoring functions or a predetermined combination works, and an instructionable teaching material, a brain-rearing device, a brain-rearing method, which newly instructs a behavioral task different from the behavioral task, A program capable of causing a computer to execute a brain-rearing method and a recording medium on which the program is recorded have been proposed.

  According to the teaching materials, etc., IQg (general intelligence) is particularly improved among frontal association field intelligence (hereinafter referred to as Conventional Example 5).

Furthermore, as a brain activation software, Nintendo sells “adult DS training for brain training” (trademark for Nintendo DS). This brain activation software aims to activate prefrontal functions through training such as writing and calculating kanji. This brain activation software has a function of checking the brain age by measuring with an approximate expression from data collected from a large number of adults in their 20s to 70s (hereinafter referred to as Conventional Example 6).
JP 2000-263969 A JP 2006-99090 A

  In Conventional Example 1, the division of the brain is rough, and it is difficult to provide a teaching material with a high brain-growing (learning) effect even if a teaching material or the like is created using this classification.

  In Conventional Example 2, numbers are assigned to the brain diagrams according to the types of human brain cells, and are not classified for each part that plays a predetermined function and role in the brain. Therefore, it is difficult to provide a teaching material having a high brain-growing (learning) effect even if a teaching material or the like is created using this classification.

  In addition, the brain photograph shown in FIG. 67 (B) is shown for the purpose of distinguishing the density of cortex and white matter by the MRI technique. Even comparing this right and left, MRI cannot know the distribution of brain cells as seen with a microscope. Therefore, it is not possible to utilize the localization of the brain for a living person by relying on the classification based on brain cells that can be understood only by a microscope for several years after death.

  In Conventional Example 3, the brain is classified according to the order of brain development, and is not classified for each part having a predetermined function and role in the brain. Therefore, it is difficult to provide a teaching material having a high brain-growing (learning) effect even if a teaching material or the like is created using this classification.

  In addition, it was not a classification of brain shape based on the difference between monkey and human brain shapes.

  In the conventional example 4, a coloring picture by a pattern or a character is displayed on the evaluation check part of the calculation drill. However, the brain function is clearly defined and it is not clear which brain is being stimulated. The emotions such as happy, fun, sad, and lovely were only born. Therefore, even if this teaching material is used, it will be learned vaguely, and it cannot be expected to increase the brain-rearing (learning) effect.

  In the conventional example 5, although it is the teaching materials etc. which were created in consideration of the “frontal cortex” which occupies most of the frontal lobe in the brain, the prefrontal cortex is an area classified as the frontal lobe except for being related to exercise This is a rough classification. Therefore, the teaching material or the like of Conventional Example 5 is not a teaching material or the like created by finely classifying a part having a predetermined function and role in the brain and conscious of the finely divided part. Therefore, even if this teaching material is used, it will be learned vaguely, and it cannot be expected to increase the brain-rearing (learning) effect.

  In Conventional Example 6, since the brain is not a brain activation software that is created in consideration of the finely divided parts by finely dividing the parts that play predetermined functions and roles in the brain, vague brain training is performed. Therefore, the effect of brain activation is not so promising.

  It should be noted that in conventional brain training, the function of adjusting brain activity by increasing or activating and sedating oxygen consumption accompanying changes in neural activity of a part of the brain that has a predetermined function and role works. It is not taken into consideration, but the activation of the brain is defined as an increase in blood flow in the entire brain due to stimulation.

  The present invention has been made in order to solve the above-described problem, and a brain that is activated in the brain by assigning a brain classification address to each part that has a predetermined function and role in the brain. It is an object of the present invention to provide a teaching material, a brain-rearing device, and a program capable of effective brain-raising while being aware of the part of the sorting address.

  The teaching material of the present invention has a task display column in which a task is displayed and a function of regulating brain activity by increasing or activating and sedating oxygen consumption due to a change in nerve activity depending on an action performed on the task. And a brain section address position display field in which the position of the section of the brain section address in consideration of the above is displayed in a schematic diagram of the brain.

  In the brain segment address position display field, an arrow may indicate whether the brain segment address is activated or sedated depending on the content of the task.

In the brain classification address position display field, a system name obtained by classifying the brain classification address by system may be displayed together with or instead of the brain classification address.
The brain section address position display field may be displayed so that activation and sedation predicted in the brain section address can be visually distinguished by performing the task.

  The brain-rearing device of the present invention is a brain-rearing device provided with a display unit, a task display unit that displays a task on the display unit, and an oxygen consumption amount that accompanies a change in nerve activity by an action performed on the task. A brain segment address position display means for displaying a schematic diagram of the brain showing the position of the segment of the brain segment address in consideration of the function of regulating brain activity by increase or activation and sedation on the display unit; It is characterized by having.

The brain classification address position display means may display a system name obtained by classifying the brain classification address for each system together with or instead of the brain classification address on the display unit.
The brain section address position display means may display on the display section so that activation and sedation predicted in the brain section address can be visually distinguished by performing the task.

  Aggregation means for aggregating the results for the task, evaluation means for evaluating the brain classification address based on the results, and evaluation display for displaying the evaluation regarding the brain classification address performed by the evaluation means on the display unit Means.

  It has an input unit for inputting the behavior information of the subject, and a brain segment address analyzing means for analyzing a brain segment address that is activated or sedated based on the behavior information input by the input unit. Good.

  A brain section address information storage unit that stores behavior information and brain section address information that associates a brain section address that is activated or sedated based on the behavior information; and the brain section address analysis The means may analyze the brain segment address with reference to the brain segment address information stored in the brain segment address information storage unit.

  The program of the present invention is a program for controlling a brain-growing device provided with a display unit, and a process for displaying a task on the display unit and an oxygen consumption amount associated with a change in nerve activity by an action performed on the task. Causing the computer to execute a process of displaying a schematic diagram of the brain showing the position of the division of the address for brain division in consideration of the function of regulating brain activity by increase or activation and sedation on the display unit It is a feature.

In addition to or instead of the brain classification address, the computer may execute a process of displaying a system name obtained by classifying the brain classification address for each system on the display unit.
By performing the task, the computer may execute a process of displaying on the display unit so that activation and sedation predicted in the brain classification address can be visually distinguished.

  The computer may execute a process of aggregating the results for the task, a process of evaluating the brain classification address based on the result, and a process of displaying the evaluation of the brain classification address on the display unit. .

  You may make a computer perform the process which analyzes the address for brain division activated or sedated based on the subject's action information input by the said input part.

  A process for storing brain section address information for associating action information with a brain section address activated or sedated based on the action information in the brain section address information storage unit; and the brain section address information storage The computer may execute a process of analyzing the brain segment address with reference to the brain segment address information stored in the section.

According to the present invention, the following excellent effects can be obtained.
(1) The display of the brain classification address shows how to use the brain and learn, and shows the procedure of the place where the brain is used for each problem. This makes it possible to know where to train or need to work, rather than study vaguely and learn, and train and activate your brain classification address as well as the learning target. The purpose of doing can be clarified. As a result, the subject's willingness to learn and continuity of learning are significantly improved.
(2) Since you can evaluate the results for each brain classification address and display the scoring results, the brain classification addresses that you use frequently, the brain classification addresses that you do not use often, the brain classification addresses that have good results As a result, the brain classification address becomes clear and the learner can objectively understand the learning procedure.
(3) It is displayed which place in the whole brain and how much it is activated, the brain position information is added to the learning, and the learning result corresponding to the place can be calculated and displayed quantitatively.
(4) The executor of the problem can specifically grasp the learning situation as the number of times of stimulation of the brain section address, the degree thereof, and the degree of achievement thereof. Since the role is known to some extent for each brain section address, the brain section address diagram can be displayed in a two-dimensional or three-dimensional manner for each problem corresponding to the role of the brain section address.
(5) Traditionally, teaching materials have been created by classifying subjects such as arithmetic and Japanese. Among the materials, the questioner considered the simple problem and the difficult problem subjectively.

However, in the teaching materials that use this brain classification address, how many brain classification addresses are activated, how wide the use of brain classification addresses, and the frequency of use of the same brain classification addresses, etc. Therefore, the answerer can go to the answer with a clear purpose of brain activation based on information from the brain.
(6) Even if the questioner and the answerer are the same, if it is an electronic brain-rearing device, by inputting the action information in advance for each brain division address, even when creating a question, The address information for brain classification can be provided.
(7) Since the teaching material, the brain-rearing device, and the program according to the growth of the brain classification address and the education stage can be provided, the brain classification address can be intensively grown according to the individual learning.
(8) Power-up and cool-down of the brain section address that rests the nerve activity and calms the brain, not just considering the increase in oxygen consumption and brain activation accompanying the increase in cranial nerve activity This information can be provided so that the brain can be upgraded while considering excessive use of the brain region and fatigue.
Originally, it is necessary to increase the oxygen consumption of the brain section addresses while considering the balance of the brain section addresses. In other words, the power of the brain division address and the repeated cool-down are the real brain training.

It is explanatory drawing which attached the address for brain division to the two-dimensional figure which looked at the brain from the outside. It is explanatory drawing which attached the address for brain division to the two-dimensional figure which looked at the brain from the inside. It is explanatory drawing which attached the address for brain division to the two-dimensional figure which looked at the brain from right above. It is explanatory drawing which attached the address for brain division to the two-dimensional figure which looked at the brain from the front side. It is explanatory drawing which attached the address for brain division to the three-dimensional figure which looked at the brain from the left back side. It is explanatory drawing which attached the address for brain division to the three-dimensional figure which looked at the brain from the left front side. (A) is explanatory drawing which attached | subjected the address for brain division to the outer side view of the brain, (B) is explanatory drawing which attached the address for brain division to the horizontal sectional view of the brain. (A) is a brain cell distribution diagram viewed from the outside of the monkey brain, (B) is a brain cell distribution diagram viewed from the inside of the monkey brain, and (C) is a brain cell distribution diagram viewed from the outside of the human brain. (D) is a distribution diagram of brain cells viewed from the inside of the human brain. It is explanatory drawing which shows a superbrain field. It is explanatory drawing which shows the relationship between a super brain field and the address for brain division. (A) is an example of a map of brain classification addresses, and shows the hippocampus (address H), amygdala (address A), cerebellum (address C), and brainstem (address S). FIG. 11B shows the thalamus (T address), and FIG. 11C shows the basal ganglia (G address). It is explanatory drawing which shows an example of the image display of the address for brain division. It is explanatory drawing which shows an example of the image display of the address for brain division. It is explanatory drawing which shows an example of the image display of the address for brain division. It is explanatory drawing which shows an example of the image display of the address for brain division. It is explanatory drawing which shows an example of the image display of the address for brain division. It is explanatory drawing which shows an example of the image display of the address for brain division. It is explanatory drawing which shows an example of the image display of the address for brain division. It is explanatory drawing which shows an example of the image display of the address for brain division. It is explanatory drawing which shows an example of the image display of the address for brain division. It is explanatory drawing which shows an example of the image display of the address for brain division. It is explanatory drawing which shows an example of the image display of the address for brain division. It is explanatory drawing which shows an example of the image display of the address for brain division. It is explanatory drawing which shows an example of the image display of the address for brain division. It is explanatory drawing which shows an example of the teaching material using the address for motor system brain division. It is explanatory drawing which shows an example of the teaching material which distinguishes the function of the address for brain division 3 and No. 4. It is explanatory drawing which shows an example of the teaching material regarding the address for brain divisions 4th and 6th. It is explanatory drawing which shows an example of the teaching material regarding the address for brain divisions 4th and 7th. It is explanatory drawing which shows an example of the teaching material regarding the address 17 for visual system brain division. It is explanatory drawing which shows an example of the teaching material using a color. It is explanatory drawing which shows an example of the teaching material using eyes. It is explanatory drawing which shows an example of the teaching material using eyes. It is explanatory drawing which shows an example of the teaching material which recognizes a space and a shape. It is explanatory drawing which shows an example of the teaching material using a sound. It is explanatory drawing which shows an example of the teaching material using a document. It is explanatory drawing which shows an example of the teaching material using a document. It is explanatory drawing which shows an example of the teaching material which activates the address for left brain division, and the teaching material which activates the address for right brain division. It is explanatory drawing which shows an example of the teaching material which activates the address for left brain division, and the teaching material which activates the address for right brain division. It is explanatory drawing which shows an example of the teaching material which activates the left hippocampus, and the teaching material which activates the right hippocampus. It is explanatory drawing which shows an example of the teaching material which activates the left hippocampus, and the teaching material which activates the right hippocampus. It is explanatory drawing which shows an example of the teaching material which activates the address for left temporal lobe brain division, and the teaching material which activates the address for right temporal lobe brain division. It is explanatory drawing which shows an example of the teaching material using emotion and emotion stimulation. It is explanatory drawing which shows an example of the teaching material which activates the address for left brain division, and the teaching material which activates the address for right brain division. It is explanatory drawing which shows an example of the teaching material for elderly people who activates three super brain fields. It is explanatory drawing which shows an example of the teaching material until activating a super temporal field and a super parietal area, and the teaching material until activating a super frontal cortex. It is explanatory drawing which shows an example of the teaching material until activation of a super temporal field, and the teaching material of the brain division address activation for infants. It is a block diagram which shows the brain-growing apparatus which concerns on the example of embodiment of this invention. It is explanatory drawing for demonstrating the evaluation regarding the address for brain division in the problem collection of arithmetic. It is explanatory drawing for demonstrating the evaluation regarding the address for brain division in the problem collection of a Japanese language. It is explanatory drawing for demonstrating the evaluation regarding the address for brain division in the problem collection of science. In order to explain the calculation of the age for brain classification, it is a graph showing the relationship between the actual age and the average M ratio. (A) is for the left brain at 22 addresses, (B) is for the left brain at 10 addresses, (C) Indicates the case of 4 left brain. It is explanatory drawing which shows the example of a display of the brain division address age. It is explanatory drawing which shows the example of a display of the brain division address age. It is explanatory drawing which shows the example of a display of the brain division address age. It is explanatory drawing which shows the example of a display of the brain division address age. It is explanatory drawing which shows the example of a display of the brain division address age. It is explanatory drawing which shows the example which displayed the usage time of the address for brain division. (A)-(C) are explanatory drawings which show the example which displayed the analysis result of the address learning process for brain division. It is a flowchart for demonstrating operation | movement of a brain-growing apparatus. (A) And (B) is explanatory drawing which shows the example of a display of the address analysis result for brain division. It is explanatory drawing which shows the example of a display of a brain division address analysis result. It is explanatory drawing which shows the example of a display of a brain division address analysis result. It is explanatory drawing which shows the example of a display of a brain division address analysis result. It is explanatory drawing for demonstrating the address electronic diary for brain division. It is a block diagram which shows the program of the embodiment of this invention. It is explanatory drawing which shows the division of a typical cerebrum. (A) is an explanatory diagram for explaining the classification proposed by Dr. Broadman, and (B) is an MRI brain photograph. It is explanatory drawing for demonstrating what classified the brain according to the order of the development of myelination until 3 years old of a person proposed by Frecschig (1920), (A) is a lateral surface of a brain, (B) Indicates the internal side of the brain. It is explanatory drawing which shows the menu for brain training displayed on display parts, such as a mobile telephone, a personal computer, and DVD. It is explanatory drawing for demonstrating the example which displayed the system | strain name which classified the brain division address according to the system | strain. It is explanatory drawing for demonstrating the correspondence example of which brain division address is concerned in order to achieve a certain objective. It is explanatory drawing for demonstrating the example which displayed the system | strain name which classified the brain division address according to the system | strain. It is explanatory drawing for demonstrating the example of the category of the address for brain division related to the execution task. It is explanatory drawing for demonstrating the subject for the motor system brain division address power-up. It is explanatory drawing which shows the example of a display of the sedation address and activation address which are estimated in the address for brain division with execution of arbitrary tasks.

Explanation of symbols

1: Teaching material 2: Assignment display field 3: Brain classification address display field 4: Brain classification address position display field 5: Brain-rearing device 6: Input unit 7: Output unit 8: Storage unit 9: Control unit 10: Display unit 11: Printing unit 12: Communication unit 13: Problem display unit 14: Brain segment address position display unit 15: Total unit 16: Evaluation unit 17: Evaluation display unit 18: Brain segment address analysis unit 19: Brain segment address information Storage unit 20: Program 21: Falling black ball 22: Basket

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
(Definition of addresses for brain classification)
1 is an explanatory diagram in which a brain classification address is attached to a two-dimensional view of the brain viewed from the outside, FIG. 2 is an explanatory diagram in which a brain classification address is attached to a two-dimensional diagram of the brain viewed from the inside, and FIG. Fig. 4 is an explanatory diagram with a brain classification address attached to a two-dimensional diagram viewed from directly above, Fig. 4 is an explanatory diagram with a brain classification address added to a two-dimensional diagram when the brain is viewed from the front side, and Fig. 5 is a left rear brain FIG. 6 is an explanatory diagram in which the brain classification address is attached to the three-dimensional diagram viewed from the side, FIG. 6 is an explanatory diagram in which the brain classification address is attached to the three-dimensional diagram in which the brain is viewed from the left front side, and FIG. FIG. 5B is an explanatory view in which the brain section address is attached to the outer side view, and FIG. 5B is an explanatory view in which the brain section address is attached to the horizontal sectional view of the brain.

As shown in FIG. 1 to FIG. 7, an address for brain classification (the inventor and the applicant refer to the address as a brain address (registered trademark) and displays it as a brain address in the drawings) Numbers given separately for each part considering the increase in oxygen consumption accompanying changes in neural activity and the function of regulating brain activity by activation and sedation according to the predetermined function and role in It is.
Whether or not oxygen consumption is increased and activated at a site in the brain, and the regulation function of brain activity by activation and sedation is, for example, an international application (PCT / JP03) filed by the present inventor and the applicant. Various parameters derived from the relationship between the amount of change in oxidized hemoglobin and the amount of change in reduced hemoglobin (for example, the degree of oxygen exchange (k angle), It is certified based on the oxygen exchange ratio (k ratio)), the trajectory on a two-dimensional or three-dimensional diagram, and the like. Note that various parameters, trajectories on a two-dimensional or three-dimensional diagram, and the like are disclosed in the specification and drawings of the above-described application, and thus description thereof is omitted.

  The cerebrum is numbered (1-47) according to the distribution diagram of brain cell construction by Broadman (1907) (see FIG. 67 (A)). Brain classification addresses 4 and 3 are the frontal and parietal lobe boundaries, and numbers 1 and 2 are higher in the head (see Fig. 3). ing. Addresses 13 to 16 constitute the island cortex (see FIG. 7).

  8A is a brain cell distribution diagram viewed from the outside of the monkey brain, FIG. 8B is a brain cell distribution diagram viewed from the inside of the monkey brain, and FIG. 8C is a brain cell viewed from the outside of the human brain. Distribution diagram, (D) is a distribution diagram of brain cells viewed from the inside of the human brain, FIG. 9 is an explanatory diagram showing the superbrain field, and FIG. 10 is an explanatory diagram showing the relationship between the superbrain field and the brain classification addresses. is there.

  As can be seen from FIG. 8, when comparing the monkey and the human brain, the present inventor has found that there are three regions in which humans are particularly developed and monkeys do not.

  Furthermore, it was found that these three regions correspond to the slowest developing region (C in FIG. 68) in the brain region. Therefore, as shown in FIGS. 9 and 10, the present inventor named this region “super brain area (super brain area)”, and each of the frontal lobe, parietal lobe, and temporal lobe is designated as the superfrontal cortex. (Super Frontal Area), Super Parietal Area (Super Parietal Area), Super Temporal Area (Super Temporal Area).

  Here, the super frontal area (super frontal area) belongs to addresses 9, 10, and 11 in the brain classification address, and the super head area (super parietal area) belongs to addresses 39 and 40, which is super temporal. The field (supertemporal area) belongs to part of address 20, address 34, address 35, address 36, address 37, and address 38.

(Address for brain classification other than cerebrum)
FIG. 11A is an example of a map of brain classification addresses, and shows the hippocampus (address H), amygdala (address A), cerebellum (address C), and brainstem (address S). FIG. 11B shows the thalamus (T address), and FIG. 11C shows the basal ganglia (G address).
(Relationship between brain part / function / role and brain classification address)
The brain part / function / role and the brain classification address have the following relationship.
(1) Frontal lobe a) Address for brain division to which it belongs 4, 6, 8, 9, 32, 33, 24, 44, 45, 46, 10, 11 b) Main function / role Willing center, other parts Keep in touch with us. It is a place where information is actively taken in, rejected, or manipulated with a willingness to exercise, behaviour, or movement, and other places serve to collect information such as sound, shape, and movement. To support.
c) Functions and roles of each brain section address Brain section address 4: exercise, hand, foot, mouth, body, muscle movement, move, run, fly, write, speak. Wiping rags, sewing, driving a car.

Left brain number 4: Write with right hand, right foot kick Right brain number 4: Write with left hand, left foot kick Address for brain classification 6: Plan of motion, visual imagination, exercise pattern, device for brain Address for brain classification 10: Stealing I do not know that the the, focus, fortune-telling, reasoning, think continually deeply, determination of desire, determination of desire, self-revelation greed, creativity greed brain division for address # 32: motivation, notice, attention does not move too much passive personality behavior, such as reduced-lethargy of not-indifferent and motivation, attention is likely to change hyperactivity, personality behavior, such as showing a fit not-ready-to-motivated anything Once you healthy too-exciting

Brain classification addresses 9, 10, 11: Formation of purpose consciousness, formation of hope, sense of mission Brain classification address 11: Very emotionally sensitive brain classification address, social development Left brain 11 address: words and to mediate, heart and mind each other going, right brain 11 address to replace the form of address by each other to attend the people by the words: is not social in words, mind each other going in, tacit understanding, exam study alone is the right brain address 11 Not trained 44, 45, 46 in the left frontal lobe: IQ test using words, processing speed, language working memory (working memory), verbal communication 44, 45 in the frontal lobe of the right brain, No. 46: IQ test for problems of figures rather than words, processing speed, non-verbal working memory (working memory), non-verbal communication 45 left brain: Manzai, speaking Humming, imitation of words, dialogue between people, conversation, words of utterance, such as sentence structure, put out the word, the internal language left brain 44 address: speaking right brain 45 address of words, right brain than side Atamano (super tempo Lahr Area): Art, graphic manipulation , non-language role, video, painting

(2) Temporal lobe a) Address for brain classification to which the brain belongs 20, 21, 22, 41, 42, 38, 28, 35, hippocampus (address H), amygdala (address A), entorhinal cortex (address E)
b) Main functions and roles Storage of auditory system information and memory system The left temporal lobe has a language system and the right temporal lobe has a non-linguistic role.
c) Functions and roles of each brain section address Left supertemporal area (super-temporal area) No. 20: Language, conversation, memory, language acquisition Kaiba H address: Memory, language acquisition, memories
Right brain No. 20: Information gathering place of non-verbal activities such as figures Amygdala A No .: emotional brain, fun, sad, anger, suffering, comfort, dislike Brain classification address No. 41, 42: sound, listening, basic sounds Analysis, absolute scale, auditory cortex, brain classification address 22: words, comprehension, music, conversation, listening, kanji, Wernicke area, listening and changing

(3) Parietal lobe a) Address for brain classification to which it belongs 3,1,2,5,7,31,23,26,29,30,39,40,43 b) Main function / role Visual system information C) Function and role of each brain classification address: Brain classification address # 3: limbs, body sensation, pressure sense, skin sensation, pain sensation, pain, temperature sensation, somatosensory area For brain classification Addresses 1, 2, and 5: Recognize body position information. Address 7 for brain classification: Space, game, figure, moving while looking, depth-seeing eye, vision and movement required simultaneously Brain address 39, 40: Recognition of information, words, understanding, music, conversation,
Brain classification address 43: Vibration sense, rotation sense

(4) occipital lobe brain classification addresses 17, 18, and 19: morphological grasp, light contrast, color recognition,
Brain classification addresses 37 and 19: Movie, dynamic vision, see what is moving Brain classification address 17: Watch, light, flash, screen, movie, still image and video (5) Cerebellum: instantaneously with cerebrum Fine feedback control in cooperation (6) Cerebellum, hippocampus: Plays an important role in establishing intellectual development.

(Relationship between brain function / role and brain classification address)
The functions and roles of the brain and the corresponding brain classification addresses have the following relationship.

Auditory system (sound system) brain classification addresses: 41, 42, 22, 21 addresses Visual system brain classification addresses: 17, 18, 19, 37, 8, 7, 20 Memory system brain classification addresses: H, A , 20, 38, 27, 28 Physical education system, motorized brain classification address: 32 address, 4, address 6, address 8, address 17, address C Language language literary system, science brain classification address: 44 in the left brain Address, 45, 46, 22, 22, 39, 40, etc. Address for artistic brain classification: 44, 45, 46, 22, 22, 39, 40, etc. for right brain : 10, 9, 11, 46, 39, 40 Emotion / sensory brain address: 11, 31, H, A

(Effect of brain classification address)
In this way, the address for brain classification considers the brain part (region) and the function / role at the same time, refers to the classification by Broadman, classifies the brain, and numbers and symbols assigned to each classification Etc.

  By dividing the brain according to the brain classification address, the following effects can be obtained.

  1) According to the definition of the brain classification address, not only the type of cells on the brain but also the developmental growth and the classification considering the differences between monkeys and humans, the brain shape such as MRI In this test, even if the brain cells cannot be classified, the rough localization of the cerebrum can be identified from the top of the scalp.

  2) The development of the brain classification address can be considered.

  3) By assigning the brain location, it becomes easier to remember and understand.

  In addition, as long as it makes a pair with the role and function of the brain, the classification on the brain surface indicated by the brain classification address is not necessarily strict. Changes and additions are possible even with new knowledge.

(Display of brain classification address)
As a method for displaying the brain section address, for example, as shown in FIGS. 1 to 7, the number of the brain section address is displayed in a two-dimensional diagram or a three-dimensional diagram for each brain section.

Further, as shown in FIG. 12, an image of a brain segment address may be displayed on the scalp. In this case, the division of the address for brain division, that is, the resolution of the image can be arbitrarily selected,
Further, as shown in FIG. 13A, the brain division addresses are simultaneously displayed in a schematic view of the left and right brains as viewed from the outside. As shown in FIG. 13B, the left and right brains are viewed from the inside. In addition, the brain classification address may be displayed simultaneously on the schematic diagram.

  Further, as shown in FIG. 14, it is easy to see if the brain section addresses are displayed in different colors.

  Further, the visual system brain section addresses (see FIG. 15) and the respective addresses (see FIG. 16), the auditory system brain section addresses (see FIG. 17A) and the respective addresses (see FIG. 17B). ), Motor system brain classification addresses (see FIG. 18) and their respective addresses (see FIG. 19), language system brain classification addresses (see FIG. 20) and their respective addresses (see FIG. 21), memory system brain classification It is possible to display a work address (see FIG. 22), a language work memory brain partition address (see FIG. 23), and a non-language work memory brain partition address (see FIG. 24). In addition, the sensory brain classification address, the emotional brain classification address, etc., classified by specialty, such as the address for the five senses, the athletic brain address, the human brain classification address, the scientific brain classification address, the artistic brain classification address, etc. May be displayed. It is also possible to display the brain classification addresses by occupation and gender.

(Educational material)
Next, a teaching material according to an embodiment of the present invention will be described with reference to the drawings. Here, the teaching materials refer to textbooks, problem collections, reference books, drills, cards, and the like.

  FIG. 25 is an explanatory diagram showing an example of a teaching material using an address for motor system brain classification. As shown in FIG. 25, the teaching material 1 according to the embodiment of the present invention includes a task display field 2 in which a task is displayed, and an increase in oxygen consumption accompanying a change in nerve activity depending on an action performed on the task. Brain classification address display field 3 for displaying the brain classification address considering that the function of regulating brain activity by activation and sedation works, and the brain showing the position of the classification of the brain classification address in a schematic diagram of the brain And a sorting address position display field 4.

  FIG. 26 is an explanatory diagram showing an example of a teaching material for distinguishing between the functions of the brain classification addresses 3 and 4. The number 4 for brain division related to exercise and the number 3 related to sensation are adjacent but work differently. Furthermore, since the parts are separated even in No. 4 or No. 3, such as feet, hands, mouth, face, eyes, etc., it is possible to understand in detail how to use the brain classification address even in the same brain classification address.

  FIG. 27 is an explanatory diagram showing an example of teaching materials relating to brain classification addresses 4 and 6. The brain classification address 4 related to exercise is a detailed brain classification address even in the same brain classification address by displaying it separately because the part is separated even among the 4th such as foot, hand, mouth, face, eyes etc. Can understand how to use

  FIG. 28 is an explanatory diagram showing an example of teaching materials relating to brain classification addresses 4 and 7.

  FIG. 29 is an explanatory diagram showing an example of a teaching material related to the visual system brain classification address No. 17. In this teaching material 1, the left and right visual areas are distinguished and displayed.

  FIG. 30 is an explanatory diagram showing an example of teaching materials using colors. This teaching material 1 uses the fact that different brain classification addresses are activated depending on whether the color is used or black and white display.

  FIG. 31 is an explanatory diagram showing an example of teaching materials using eyes. This teaching material 1 utilizes the fact that the number 8 of the brain section for viewing the movement is different from the number 19 and 37 of the brain section for viewing the shape.

  FIG. 32 is an explanatory diagram showing an example of teaching materials using eyes. This teaching material 1 utilizes the fact that it is different when it is actually viewed (brain division address 17) and when it is imagined (brain division addresses 6, 8, 10, 46).

  FIG. 33 is an explanatory diagram showing an example of a teaching material for recognizing space and shape. This teaching material 1 utilizes the fact that the address for brain classification for recognizing space is different from the address for brain classification for recognizing shape.

  FIG. 34 is an explanatory diagram showing an example of a teaching material using sound. This teaching material 1 utilizes the fact that different brain classification addresses are activated depending on the type of sound.

  FIG. 35 is an explanatory diagram showing an example of a teaching material using a document. This teaching material 1 utilizes the fact that different brain classification addresses are activated when the same sentence is read and when the meaning is considered.

  FIG. 36 is an explanatory diagram showing an example of a teaching material using a document. This teaching material 1 utilizes the fact that different brain classification addresses are activated for reading aloud and silently.

  FIG. 37 is an explanatory diagram showing an example of a teaching material for activating the left brain section address and a teaching material for activating the right brain section address. This teaching material 1 utilizes the fact that the activation of the brain division addresses of the right brain and the left brain is different.

  FIG. 38 is an explanatory diagram showing an example of a teaching material for activating the left brain section address and a teaching material for activating the right brain section address. This teaching material 1 utilizes the fact that the strength of activation of the address for brain classification is different. For example, the difference in activation strength of the address for brain classification can be displayed numerically and graphically such as%, bar graph, and magnification.

  FIG. 39 is an explanatory diagram showing an example of a teaching material for activating the left hippocampus and a teaching material for activating the right hippocampus. This teaching material 1 utilizes the activation of the right brain hippocampus and the left brain hippocampus (address H).

  FIG. 40 is an explanatory diagram showing an example of a teaching material for activating the left hippocampus and a teaching material for activating the right hippocampus. This teaching material 1 uses the fact that the memory load of the right brain hippocampus and the left brain hippocampus (address H) differs depending on the task.

  FIG. 41 is an explanatory diagram showing an example of a learning material for activating the left temporal lobe brain section address and a teaching material for activating the right temporal lobe brain section address. This teaching material 1 uses the fact that the activation of the brain division addresses of the right temporal lobe and the left temporal lobe is different.

  FIG. 42 is an explanatory diagram showing an example of a teaching material using emotion and emotional stimulation. This teaching material 1 uses the fact that the address for brain classification related to emotion and emotion is activated by the expression of text, pictures, characters, video, and the display content of the screen.

  FIG. 43 is an explanatory diagram showing an example of a teaching material for activating the left brain section address and a teaching material for activating the right brain section address. This teaching material 1 utilizes the fact that different brain classification addresses are activated when the same sentence is read and when the meaning is considered.

  FIG. 44 is an explanatory diagram showing an example of teaching materials for elderly people that activate three superbrain areas. This teaching material 1 can give the motivation to accomplish the task of preventing aging by presenting the brain classification address of the superbrain field and showing the brain classification address that grows even at the age of 100, which is not developed in monkeys. .

  FIG. 45 is an explanatory diagram illustrating an example of a teaching material for activating the supertemporal cortex and the supertemporal cortex and a teaching material for activating the superfrontal cortex. This teaching material 1 considers the growth of the brain by displaying with arrows the order in which the activation of the brain classification address is promoted according to the content of the task.

  FIG. 46 is an explanatory diagram showing an example of a teaching material for activating the super temporal field and a teaching material for activating the brain classification address for infants. This teaching material 1 considers the growth of the brain by displaying with arrows the order in which the activation of the brain classification address is promoted according to the content of the task.

(Explanation 1 of brain-rearing device)
FIG. 47 is a block diagram showing a brain raising apparatus according to an embodiment of the present invention. The brain-rearing device 5 is an information processing device such as an electronic teaching material, an electronic brain training device, an electronic diary, an electronic notebook, an electronic game machine, a personal computer, a television, a portable terminal, and a mobile phone.

The brain-growing device 5 according to the embodiment of the present invention includes an input unit 6 such as a keyboard, a numeric keypad, and a mouse for inputting various data, an output unit 7 for outputting various data, and a storage unit for storing various data. 8, an input unit 6, an output unit 7, and a control unit 9 that controls the storage unit 8.
The output unit 7 includes a display unit 10 such as a display that displays various data. The output unit 7 may include a printing unit 11 such as a printer that prints various data. The brain-rearing device 5 transmits and receives various data for connecting to a communication network such as the Internet (a data transfer network using TCP / IP (Transmission Control Protocol / Internet Protocol)) or a LAN (Local Area Network). You may have communication parts 12, such as a modem, a terminal adapter, and DSU (Digital Service Unit).

  The control unit 9 is configured to display a task on the display unit 10, and change the neural activity by the action performed on the task, increase oxygen consumption, and increase brain activity by activation and sedation. The brain section address position display means 14 displays a schematic diagram of the brain showing the position of the section of the brain section address considering that the adjustment function works on the display unit 10. That is, the task display field 2 and the brain classification address position display field 4 of the teaching material 1 according to the above-described embodiment of the present invention are displayed as the screen of the display unit 10 and are displayed on the display unit 10 by the input unit 6. The screen is switched.

  The control unit 9 also includes a totaling unit 15 that aggregates the results for the task, an evaluation unit 16 that evaluates the brain classification address based on the result, and a display that displays the evaluation about the brain classification address performed by the evaluation unit 16. 10 and an evaluation display means 17 for displaying on the screen.

(Evaluation of brain classification address)
Examples of the evaluation relating to the brain classification address performed by the evaluation means 16 include the following.

(1) Display and calculation of brain division address analysis chart and brain division address assignment ratio (S ratio) where S ratio = 100% × (brain division address assignment frequency) / (total number of questions)
(2) Method for determining address for dominant brain section Define and select S ratio> 80% as the address for dominant brain section.
(3) Display and calculation of brain segment address answer map and task-specific brain segment address correct answer rate (M ratio) where M ratio = 100% × (number of correct questions) / ((number of brain sector address questions)
(4) Quantify the good brain classification address and the poor brain classification address through the problem collection. For example, the following evaluation is performed using the M ratio.

M ratio> 60%: Pass line M ratio> 80%: Address line for good brain classification M ratio <40%: Address line for poor brain classification

  FIG. 48 is an explanatory diagram for explaining the evaluation related to the brain classification address in the arithmetic problem collection.

  For example, in the arithmetic problem collection, if there are 5 questions, the brain classification address analysis (S ratio) is displayed by analyzing the brain classification address for each problem, and each question is dealt with. The address for brain classification to be performed is described.

  The brain segment address analysis chart displays how many problems use each brain segment address for all the arithmetic questions (five questions). It can be seen at a glance that this math problem trains No. 7 at an advantage.

  In the brain segment address answer diagram, the number and ratio of correct answers are described for each brain segment address. As a result, the correct address rate (M ratio) for the brain classification is known at a glance. It can be seen that the correct answer rate at the 22nd address is high, and the 22nd address is an excellent brain classification address.

  As described above, in the configuration of the problem collection based on the brain segment address learning method, the good brain classification address and the poor brain classification address can be quantified through the problem collection.

  FIG. 49 is an explanatory diagram for explaining the evaluation related to the brain section address in the Japanese language problem collection.

  For example, in the problem collection of Japanese language, if there are 5 questions, the corresponding brain classification address is described for each question. It is determined that the question is a type question.

  As the brain segment address analysis diagram, the number of questions that use each brain segment address for all questions (5 questions) in Japanese is displayed. It can be seen at a glance that this problem of Japanese language trains 46 at an advantage.

  In the brain classification address answer diagram, all questions in frontal lobe 46 are correctly answered, so the brain segment address correct answer rate (M ratio) is 100%, and the problem in parietal lobe 39 is incorrect for one question. Therefore, although the correct answer rate is 0%, it is understood that the degree of maturity of the 39th brain classification address is uncertain.

Therefore, it is possible to issue an instruction to advance the question of the parietal lobe training type .

(5) Address analysis display for brain classification for each problem and calculation of left brain right brain classification address ratio (SL ratio) For each question, the corresponding brain classification address is described, so the left brain right brain classification address The question ratio (SL ratio) is calculated .
Here, SL ratio = 100% × (left brain S ratio − right brain S ratio) / (left brain S ratio + right brain S ratio)
With SL ratio> 0%, it is determined that the address for the left brain section is dominant,
It is determined that the right brain segment address is superior when the SL ratio is <0%.

(6) Calculation of left brain right brain segment address correct answer rate (ML ratio) In the brain segment address answer diagram, the left brain segment address problem is the brain segment address correct answer rate (M ratio) and the right brain segment address problem. Then, the correct address rate (ML ratio) for the left brain right brain segment is calculated from the correct address rate (M ratio) for the brain segment .
Here, ML ratio = 100% × (left brain S ratio − right brain S ratio) / (left brain S ratio + right brain S ratio)
With ML ratio> 0%
With ML ratio <0%, it is determined that the address for right brain segment is dominant.

  FIG. 50 is an explanatory diagram for explaining the evaluation related to the brain classification address in the science problem collection.

  For example, if there are 5 questions in a science problem collection, the corresponding brain classification address is described for each question in the brain segment address analysis diagram, so the left brain right brain segment The business address assignment ratio (SL ratio) is calculated and displayed.

SL ratio = 100% × (left brain S ratio − right brain S ratio) / (left brain S ratio + right brain S ratio)
This problem SL ratio = 100 × (100 - 20) /(100+20)=66.7%
When the SL ratio is greater than 0%, it is determined that the address is dominant for the left brain section. When the SL ratio is less than 0%, it is determined that the address is for the right brain section, and it is determined that the address is for the left brain section.

  In the answer map for the brain classification address, the problem for the left brain classification address is 60% for the brain classification address, and the problem for the right brain classification address is 0% for the brain classification address (M ratio). It is.

The correct address rate (ML ratio) for the left brain right brain classification is calculated .
ML ratio = 100% × (left brain S ratio − right brain S ratio) / (left brain S ratio + right brain S ratio)
This problem ML ratio = 100 × (100 - 0) / (100 + 0) = 100%
When the ML ratio is greater than 0%, it is determined that the address is dominant for the left brain section. When the ML ratio is less than 0%, it is determined that the address is dominant for the right brain section.
Therefore, it is instructed to practice the right brain classification address training type problem.

(7) Calculation of Average Value and Standard Deviation An average of n persons is calculated from the task-specific brain category address correct answer rate (M ratio), and the average task-specific brain segment address correct answer rate (average M ratio) is calculated.
In addition, the standard deviation of n persons is calculated, and the task-specific address classification standard deviation for brain classification (M ratio standard deviation) is calculated.

(8) By quantifying the number of good brain classification addresses and poor brain classification addresses through the problem collection by n people,
Average M ratio> 60%: Passed line average M ratio> 80%: Address problem for good brain classification <40%: Address problem for poor brain classification
Here, the deviation value is defined as the brain segment address achievement rate.

(9) The average correct answer rate (ML ratio) for the average left brain right brain classification of n persons is calculated .
Here, average ML ratio = 100% × (left brain S ratio − right brain S ratio) / (left brain S ratio + right brain S ratio)
With an average ML ratio> 0%, it is determined that the address for the left brain section is dominant,
It is determined that the right ML classification address predominates with an average ML ratio <0%.
In addition, the group of n persons can be graphed by age, occupation, and gender, and a characteristic address can be extracted or a difference for each brain classification address can be calculated.

(10) Brain classification address age, brain classification address maturity The brain classification address age is a brain in which brain parts are arbitrarily divided for each role as part of realizing the concept of grasping everything from the brain. The maturity, growth degree, and problem-solving ability of each brain classification address corresponding to the classification address are calculated by age.

  The right and left contrasting brain address is compared to calculate the age difference of the brain classification address and the superiority of the brain classification address of the right brain left brain address.

  By displaying the brain section address age, it can be understood as an age distribution map even in the image that the brain growth and development differs for each brain section address.

  In addition, it is possible to grasp a brain classification address that is still immature and well-trained, and at the same time knows a good brain classification address.

Specifically, there are the following two methods for calculating the brain section address age .
1) This is a method in which a questioner of a problem arbitrarily determines a brain classification address age and a question related brain classification address for each question.

For example, if you answer the most difficult problem, you can decide to be 150 years old and the basic problem to be 10 years old.
In this case, the decision can be made without depending on the age group of the answerer, the stage of learning, and the education.

  This advantage can be aimed at older age.

The problem is that the questioner can arbitrarily determine the address for brain classification and the age for the brain classification involved in the question, so that the difference is likely to occur depending on how the questioner is set.
2) Choose a group of people who answered the question, calculate the answer rate of the question for each real age, draw a developmental growth graph from the answer for each question, and calculate the average and standard deviation by age, This is a method for estimating the address for brain classification.

  For example, when a 10-year-old child answers a question, the average age of the brain classification address and the question-related brain classification address are already known in advance for each problem. The dependent brain segment address age is calculated.

The maturity of the address for brain classification is
Brain-division-address maturity = (problem-dependent brain division for address age) - is calculated as (brain division for address actual age).
If the address for maturation of the brain classification is positive, it is more mature, and if it is negative, it is quantitatively determined by the age difference.

  FIG. 51 is a graph showing the relationship between the actual age and the average M ratio in order to explain the calculation of the brain section address age. (A) is for the left brain address 22 and (B) is for the left brain address 10. , (C) shows the case of 4 left brain.

  As shown in FIG. 51 (A), when the age development curve is 22, two estimated brain section address ages are calculated, and therefore values closer to the actual age are adopted.

  As shown in FIG. 51 (B), there are cases in which the age of the brain segment is older than the actual age. In this case, it means that the older the age, the better the maturity of the address for brain classification.

  As shown in FIG. 51 (C), there is a case where the brain section address age is lower than the actual age. In this case, it means that the lower the age, the better the brain classification address.

  FIG. 52 is an explanatory view showing a display example of the brain section address age. As shown in FIG. 52, the brain section address age is displayed in the schematic diagram of the brain.

  FIG. 53 is an explanatory view showing a display example of the brain section address age. As shown in FIG. 53, the brain section address age may be divided into colors for every 10 years, for example, and displayed. The brain section address age is displayed in 10-year increments.

  FIG. 54 is an explanatory diagram showing a display example of the brain section address age. As shown in FIG. 54, the brain section address age may be displayed in a three-dimensional manner. At first glance, the symmetrical age of the brain section address can be seen from the difference in the brain section address age.

  FIG. 55 is an explanatory view showing a display example of the brain section address age. As shown in FIG. 55, the brain classification address age group may be classified and displayed. The brain segment address age matured group and the brain segment address age immature group can be seen by human eyes, and the brain segment address can be trained. In addition, you can find the address for brain classification that you are not good at.

  FIG. 56 is an explanatory diagram showing a display example of the brain section address age. As shown in FIG. 56, the brain segment address maturity level may be displayed by a difference between the problem-dependent brain segment address age and the brain segment address actual age. At first glance, you can see the difference in the maturity of the symmetrical address for brain division. The actual brain classification address age may be different for each brain classification address.

Here, the address maturity for the brain classification (unit: years) = (address age for problem-dependent brain classification)-(actual age for brain classification)
Brain classification address problem difficulty (unit: years) = (Brain classification address actual age)-(actual age)
It is.

  From FIG. 56, for the displayed right brain section address, this problem is that the difficulty level of the brain section address problem is minus several years, and the difficulty level is low. Determined to be high. It is judged that the difficulty level is more appropriate for the left brain section address than the right brain section address.

  Further, the brain section address maturity is positive, and it is determined that the right brain section address is mature. The left brain classification address is negative and judged to be immature.

  FIG. 57 is an explanatory diagram showing an example in which the usage time of the brain section address is displayed.

  As shown in FIG. 57, a brain segment address use standard time distribution diagram is created on the schematic diagram of the brain, and the related brain segment address and standard standard answer time are displayed for each problem. Thus, the total standard guide answer time corresponding to the brain classification address is calculated as the sum of the standard guide answer times for each question.

Where (total standard guide answer time) = Σ (standard guide answer time for each question) = sum of standard guide answer times for each question average standard guide answer time = (total standard guide answer time) / (number of questions)
Is defined.

  Since this example is 5 questions, the total standard standard answer time at address 45 on the left is 440 seconds, and the average standard standard answer time is 440/5 = 88 seconds.

(Brain classification address-dependent standard standard answer time) = Σ (standard standard answer time for each brain class address) = Sum of standard standard answer times for each brain class address (corresponding brain standard standard answer time ratio) = (Brain classification address-dependent standard standard answer time) / (Total standard standard answer time)

  The address dependence standard answer time for the brain classification at the right 45 address is 120 seconds, and (120/440) x100% = 28% is the address standard standard answer ratio for the corresponding brain classification.

  In this way, for example, it is possible to display a brain segment address use guide time distribution map corresponding to all five questions.

  From this FIG. 57, it is determined that the composition of the English problem collection is composed by examining the functions of the left brain classification addresses 45 and 22 proactively. In addition, the answerer or electronically enter the actual answer time and separate the correct answer and the incorrect answer to create a correct address map for brain classification and an incorrect answer map for brain classification.

(Total answer time for the same brain segment address) = Σ (actual answer time for each brain segment address) = sum of actual answer times for each brain segment address
(Total correct answer time for the same brain section address) = Σ (Actual answer time for each brain section address) = Sum of correct answer time for each brain section address
(Total number of answer errors for the same brain section address) = Σ (Actual answer time for each brain section address) = Sum of the actual answer times for each brain section address Correct time use for the brain section address efficiency = (Same total answer time for address in the same brain section) / (Total answer time in address for the same brain section).

Incorrect answer brain section address usage time efficiency = (same brain section address correct answer total answer time) / (same brain section address total answer time).
(Answer efficiency time) = (actual answer time)-(standard answer time)
Total correct answer efficiency time = Σ (correct answer efficiency time)
Example = (30-50) + (180-150) + (40-60) = − 20 + 30−20 = −10 seconds average correct answer efficiency = Σ (correct answer efficiency time) / (number of correct answers)
= -10/3 = -3.3 seconds Total incorrect answer efficiency time = Σ (incorrect answer efficiency time)
Example = (150-120) + (200-120) = 110 seconds average incorrect answer efficiency = Σ (incorrect answer efficiency time) / (number of incorrect answers)
= 110/2 = 55 seconds From the example, the correct brain segment number map shows that the right brain segment address is zero, and the left brain segment address is 1. near,
The total correct answer efficiency time is determined to be a standard answer in 10 seconds.

  From the incorrect answer brain classification number map, it can be seen that the incorrect answer could not be answered correctly even when the time for the incorrect answer brain classification address use time efficiency of the left brain classification address was 1.94 and the time was nearly doubled. The total incorrect answer answering time is 110 seconds.

  58 (A) to 58 (C) are explanatory views showing an example in which the analysis result of the brain section address learning process is displayed. As shown in FIG. 58, by repeating the problem, information related to the brain section address learning progress can be calculated and displayed on the chart. Further, the slope Q of the actual answer time is obtained as follows and defined as the correct answer learning speed or the incorrect answer learning speed.

Q value = learning speed,
Q-value differentiation = learning acceleration Total answer time for the same brain section address, total answer time for the same brain section address, total answer time for the same brain section address, correct answer brain section address usage time efficiency, incorrect answer The parameters for the brain section address usage time efficiency, answer efficiency time, total correct answer efficiency time, average correct answer efficiency, total incorrect answer efficiency time, average incorrect answer efficiency time, plot the time series by repeating the problem. Each learning speed and learning acceleration can be obtained from the inclination of the graph.

  Furthermore, these parameters are not limited to the evaluation for each brain segment address, but can be quantified as an evaluation of the entire brain by summing up related brain segment addresses.

  Moreover, the left brain learning and the right brain learning effect can be evaluated by dividing each address of the left brain and the right brain.

Based on this result, it is possible to provide educational guidance with the brain classification address teaching material 1,
1) Instructions for further strengthening good brain classification addresses 2) Instructions for further strengthening poor brain classification addresses 3) Instructions for resting over-trained brain classification addresses 4) Brain classification addresses not recently trained Can give instructions to strengthen

(Description 2 of the brain-rearing device 5)
As shown in FIG. 47, the brain-growing device 5 according to the embodiment of the present invention analyzes the brain classification address that is activated or subsided based on the behavior information of the subject inputted by the input unit 6. The sorting address analyzing means 18 may be provided.

  The storage unit 8 may include a brain segment address information storage unit 19 that stores brain segment address information that associates behavior information with a brain segment address that is activated or subsided based on the behavior information. .

  FIG. 59 is a flowchart for explaining the operation of the brain-growing device 5. First, when the behavior information of the subject is input to the input unit 6 (step S1), the brain segment address analyzing means 18 refers to the brain segment address information stored in the brain segment address information storage unit 19. The brain segment address is analyzed (step S3). The analysis result by the brain segment address analyzing means 18 is displayed on the display unit 10 (step S4).

  60 (A) and 60 (B) are explanatory diagrams showing display examples of brain segment address analysis results.

  For example, when the action information “write a word using the right hand” is input by the input unit 6, the brain segment address analyzing means 18 of the control unit 9 reads “the right hand” and the left brain number 4 (score 1). Analyze and analyze “write words” as 22 left brain (score 2), 45 (score 3), 6 (score 1) (see FIG. 60A).

Here, address 22 works just by listening to the words, but when the words are understood and not understood, the points are scored with 2 points and 1 point, respectively. Also, if possible English pronunciation is well even if you speak the language, 45 address two points, that accent is 1 point if Kere such enough, when he repeated the similar problem, the number of each address of the brain is scored The

  In the case of the action information “write the word three times using the right hand”, the score for three times is displayed (see FIG. 60B).

  As described above, since not only the brain classification address corresponding to the word but also the strength evaluation is numerically input as a score, not only the position information of the brain classification address but also the frequency of use can be digitized to display a brain image.

  FIG. 61 is an explanatory diagram showing a display example of the brain segment address analysis result. As shown in FIG. 61, the ranks are displayed for the development, growth, and achievement of the address for brain division. This is a comprehensive judgment function that enables addition statistics for multiple people. Bar graphs and achievement levels can be displayed in%.

  FIG. 62 is an explanatory view showing a display example of the brain segment address analysis result. As shown in FIG. 62, the score is added for each brain section address, and the use process for each brain section address can be shown by a bar graph or a line graph.

The function of converting the age, the degree of achievement, and the evaluation of the address for brain segmentation is used (the achievement growth of each brain segment address is assumed to be 100 years old, and the age is immature, so the age is lower). It has a function to analyze the growth, achievement, and evaluation of human brain address for each task and problem from minus 1 year old (fetus) to 100 years old with developmental age and display it for each address. Optionally, the achievement level may be set to be over 300 years old and over 300 years old .

FIG. 63 is an explanatory diagram showing a display example of the brain segment address analysis result. As shown in FIG. 63, the brain segment address analysis results may be displayed as an image in time series according to the behavior of the subject.
FIG. 63 shows a process in which the address for brain classification expands with the input of behavior information while color-coding.

(Brain classification address dictionary function and analysis resolution selection)
The brain section address information storage unit 19 referred to by the brain section address analyzing means 18 associates a brain section address dictionary, that is, action information, diary information, notebook and other characters, sentences, and brain section addresses. Information is stored. Further, even when a plurality of brain section addresses are involved, each brain section address is digitized and weighted. This weighting can be set arbitrarily by the input function.

  First, when inputting behavior information, select the category of the input theme (by visual system, auditory system, language system, motor system, memory system, thinking system, sensory system, emotional system, five senses system, athletic system, humanities system) To narrow down the collation of the address for brain classification by inputting related systems simultaneously, such as specialists such as science and art, game, play, conversation, cleaning, daily life, etc. Can do.

  Next, the analysis of the brain segment address is actually started, the brain segment address dictionary is collated with the input information, and matching items are displayed.

Next, the list is called according to the category of the input theme, and the analysis resolution of the brain section address is selected in several stages as follows.
1) Collation with cerebrum (frontal lobe, parietal lobe, temporal lobe, occipital lobe), cerebellum, brain stem, thalamus, basal ganglia (the cerebrum is divided into 4 categories)
2) Collation with right brain, left brain, and bilateral brain dictionaries (3 categories)
3) Dictionary and collation of three superbrain areas (superfrontal, supertemporal, and superparietal areas) (three categories)
4) The reason why there are about 50 types of addresses. Since the divisions of the brain classification addresses represent the resolution of the brain image, the resolution of the brain image can be arbitrarily selected by inputting the type of the classification of the brain classification address. .

  In selecting the resolution, the word list creation for each brain classification address and the numerical evaluation information corresponding thereto are arbitrarily set and input.

The resolution of the address for brain division is divided into four cerebrums, so that it has a function that can be set from a low resolution of 8 divisions to a high resolution that can be divided into 50 or more finely. In response to this, a display image can be selected.

Or 1) Display only 3 spar brain areas with emphasis 2) Visual system brain classification address, auditory system brain classification address, language system brain classification address, motor system brain classification address, memory system brain classification address , Address for thinking brain classification, address for sensory / emotional brain classification, etc. 3) Display address for each of the senses, brain classification, address for brain classification, address for brain classification, address for science brain classification, artistic brain classification 4) Display according to daily events, such as address for brain division of game system, address for brain division of play system, address for brain division of conversation system, address for brain classification of cleaning system, etc. By selecting, and displaying the address series for brain classification that you want to train, you can compete for scores and enjoy as a game.

(Electronic diary for brain classification)
FIG. 64 is an explanatory diagram for explaining the brain section address electronic diary. Using the function of the brain segment address analyzing means 18 described above, as shown in FIG. 64, it is input as daily diary action information and the analysis result of the brain segment address is displayed on the display unit 10. it can. The example of FIG. 64 shows an example in which the growth of the baby is input to the electronic diary.

  In addition, the data of the electronic diary of the past brain classification address is memorized, and the past data is called in to analyze when and how any brain classification address is operated, or for each brain classification The usage frequency of the address may be calculated and displayed.

  As described above, in the brain-growing device 5 according to the embodiment of the present invention, the function and role for each brain classification address are input to the storage unit 8, the display method of the brain classification address is selected, and the input unit 6, by inputting the action information, the action information is classified into the brain section address information by the brain section address analyzing means 18, and the evaluation result for each brain section address is written by quantitative analysis conversion. It is possible to realize action-type address classification imaging for brain classification that can display brain images as well as voice displays.

  Therefore, the brain-rearing device 5 according to the embodiment of the present invention is used as a brain training device, an electronic diary, an electronic notebook, an electronic game machine, an electronic teaching material, and the like.

(program)
FIG. 65 is a block diagram showing a program according to the embodiment of the present invention. As shown in FIG. 65, the program 20 according to the embodiment of the present invention controls the brain-rearing apparatus 5 described above. The program 20 may be recorded on a recording medium such as a magnetic disk, a CD-ROM, or a semiconductor memory, or may be downloaded via a communication network.
(Display of the system name of the brain classification address)

As described above, since each brain classification address has a predetermined function or role, it is not a numerical address display, for example, 6-8 systems (language system, memory system, emotion system, thought system, motor system, sensory Systematic names classified into system, image (visual system), sound (hearing) system, etc.) are displayed on the brain segment address position display field 4 and the display unit 10 together with or instead of the brain segment address. Also good. This makes it easier for amateurs to think and handle brain classification addresses.
In other words, if the brain classification address is displayed directly, it is difficult to utilize it without prior knowledge of brain functions related to the brain classification address. By displaying the role of the house number as a schematic diagram, it is easier to understand and use.

The entire brain can be classified by 120 or more brain classification addresses, but these are systematically classified into categories, resulting in several to several tens of systems. The combination of oxygen consumption of each brain section address can be indexed as the sum of the brain section address power of each system. As parameters related to the oxygen consumption, behavior information such as time (RT) and performance of the task is applied. Furthermore, not only the brain activation index but also the combination of activation and sedation of each brain section address can be indexed as the sum of the brain section address power of each system.
In inputting the behavior information, the answering time or the reaction time (RT) of the problem may be measured, and the brain classification address corresponding to the problem may be scored (scored) according to the answering time.

FIG. 69 is an explanatory diagram showing a menu for brain training displayed on a display unit such as a mobile phone, a personal computer, or a DVD.
As shown in FIG. 69, a training menu related to the address for brain classification may be created using a mobile phone, a personal computer, a DVD, or the like. In this way, the power of the brain section address is indexed, and from the score, the national ranking, the score situation of the brain section address and the transition in the diary can be known.
Moreover, you may diagnose the power of the address for brain division by digesting issues, such as a game, in a training menu. Also, it may be stored as a diary and referred to as the national ranking, or the power growth rate and learning speed of the brain classification address may be evaluated.

In the recent brain activation boom, only the excitement of the brain has been taken up, but a power-up and cool-down training menu for brain section addresses may be created. In the cool-down, the score may be negative, and in the case of a subject about comfort / relaxation, for example, by inputting how many times the comfort music has been listened to, the time is scored and evaluated.
Then, the power of the brain classification address may be indexed so that the national ranking, the score status of the brain classification address, and the transition in the diary can be known from the score. Furthermore, the result of the power contest of the address for brain division and the national ranking may be calculated in real time and displayed on the display unit 10.

  FIG. 70 is an explanatory diagram for explaining an example in which system names obtained by classifying brain classification addresses by system are displayed. As shown in FIG. 70, scores are scored as brain address (registered trademark) power of language system, memory system, emotion system, thinking system, motor system, sensory system, image (visual system), sound (auditory) system. Then, connect the average points of each system with bold lines. This makes it possible to clarify the characteristics of each person's brain classification address.

FIG. 71 is an explanatory diagram for explaining a correspondence example of which brain section address is involved in order to achieve a certain purpose.
When the purpose is set from FIG. 71, it is possible to reversibly calculate and display which desire the person can easily realize from the score ratio pattern of the brain section address.
Further, from the theory of the correlation between each brain section address and the purpose execution, it is preferable to train with application software that executes a task suitable for the system of the corresponding brain section address for a certain purpose. The application software may be recorded on a recording medium such as a magnetic disk, a CD-ROM, or a semiconductor memory, or may be downloaded via a communication network such as the Internet.

  For example, in order to improve the way of speaking, it is necessary to train language-related brain classification addresses, sound-related brain classification addresses, motor-related brain classification addresses, and emotion-related brain classification addresses.

  In addition, "I want to speak better", "Become positive", "I want to contribute to society", "I want to be opposite sex", "I want to be healthy", "I want to realize my future dreams", etc. In order to do this, it is essential to train the motor system brain address.

  Also, in order to achieve the desire to “become beautiful,” it is necessary to obtain a score for the sensory system, emotion system, thought system, and image system, and the score score or ratio The sensory system 5, the emotion system 1, the thought system 2, and the image system 4 are arbitrarily set. As a result, when a certain task (discipline) from the training menu is performed, according to the score, for example, the score 30 and the image 20 are allocated, the score is distributed to 30 and 20. As a result, a score map of the brain classification address can be created by performing the task.

FIG. 72 is an explanatory diagram for explaining an example in which system names obtained by classifying brain classification addresses by system are displayed.
As shown in FIG. 72, the superiority of the brain segment address power of the left and right brains is compared with the sum of the scores of each system, the score is scored as a brain segment address power map, and the average score of each system is calculated. Connect with bold lines. This makes it clear at a glance the characteristics of the left and right brain section address power.
Also, in order to compare the superiority of the left and right brains, if the right brain score is R and the left brain score is L,
L1 = (R−L) / (R + L)
L1 is calculated by the following equation.
The L1 value moves between −1 and +1, but if the L1 value is negative, the superiority of the left brain is strong, and if it is positive, the superiority of the right brain is strong.

FIG. 73 is an explanatory diagram for explaining an example of which brain classification address category is related to the execution task.
For example, the task for powering up the address for sensory system brain classification is to set several types of vibration patterns of the vibrator of the mobile phone and press the enter key only when there is a certain vibration. If the key decision time and the correct answer rate are input 10 times from the vibration at this time, the comparison with the average value of all members is displayed on the display unit 10.

In addition, the task for powering up the address for sound (auditory) brain division is to distinguish between double performances in which two songs are played simultaneously. Select the number with the key from the choices and evaluate the correct answer rate against all members.
In addition, the emotional brain classification address power-up task is to answer the emotional face as a key as the emotional face gradually rises onto the screen. The correct answer rate and reaction time are evaluated against all members.

FIG. 74 is an explanatory diagram for describing a problem for powering up the address for motor system brain classification.
For example, as shown in FIG. 74, in the operation of the application software for powering up the address for motorized brain classification displayed on the display unit 10, the falling black ball 21 is picked up by moving the basket 22 left and right with the key. . Assess the success rate against the average of all members, using the number picked up as a score. The score can be compared between the case of moving the key with the right hand and the case of the left hand.

FIG. 75 is an explanatory diagram showing a display example of a predicted sedation address and activation address in the brain classification addresses by performing an arbitrary task.
For example, in FIG. 75, the emotional brain classification address and the thinking brain classification address are cooled down while feeling relaxed by listening to a sound including 1 / f fluctuation existing in the natural world.
Furthermore, by closing the eyes and listening, it is possible to cool down the image-based brain classification address, which is tired from overworking the personal computer, by slightly activating the sound-related brain classification address.
Instead of displaying only the results of performing the task in this way, by displaying simultaneously the predicted sedation address and activation address so that they can be distinguished (for example with arrows), more power up of the brain classification address This makes it easier to build a cool-down program.

  As described above, it is possible to realize imaging of a brain classification address on a mobile phone or a personal computer without using a large-scale MRI or brain function measuring device. In this brain section address imaging, the versatility and comprehension of the brain section address imaging can be improved by classifying and displaying according to the system in the category captured from the brain function.

  The present invention is not limited to the above-described embodiments, and various modifications can be made within the scope of the technical matters described in the claims.

  The present invention is based on a predetermined function and role in the brain, in accordance with a change in nerve activity, oxygen consumption increases, or brain activity adjustment function by activation and sedation works Teaching materials (for example, textbooks, problem collections, reference books, drills, cards, etc.), brain-rearing devices (for example, textbooks, problem books, reference books, drills, cards, etc.) It is used for electronic teaching materials, electronic brain training devices, electronic diaries, electronic notebooks, electronic game machines, personal computers, televisions, portable terminals, mobile phones and other information processing devices) and programs.

Claims (9)

Locations where oxygen consumption increases or brain activity adjustment functions through activation and sedation, due to changes in neural activity due to actions performed on tasks according to predetermined functions and roles in the human brain In order to classify the brain of the subject using a brain classification address certified from the relationship between the amount of change in oxidized hemoglobin and the amount of change in reduced hemoglobin,
An input unit for inputting the content of the behavior information of the subject with respect to the task in a sentence;
A brain classification address information storage unit that stores a brain classification address dictionary that associates words and sentences with the brain classification addresses related to the contents of the words and sentences;
For each word or sentence in the sentence of the subject's behavior information for the task input by the input unit, refer to the brain classification address dictionary stored in the brain classification address information storage unit, The brain that is activated or subsided by specifying the brain classification address related to the content of the word or sentence and giving a score to the specified brain classification address according to the content of the word or sentence Brain segment address analysis means for analyzing the segment address,
Means for displaying on the display a schematic diagram of the brain, and a section of the segment of the brain classification address given a score in the schematic diagram of the brain;
A brain-rearing device characterized by comprising:   2. The brain-rearing apparatus according to claim 1, wherein the display unit displays a score for each brain classification address.   The brain display device according to claim 1 or 2, wherein a graph representing the score for each of the brain classification addresses is displayed on the display unit. The display unit is given a score in the schematic diagram of the brain and the schematic diagram of the brain according to the content of the sentence of the behavior information of the subject inputted in time series by the input unit. Ikuno device according to any one of claims 1 to 3, characterized in that the portion of the section of the addresses for the brain segment are chronologically displayed. Wherein the display unit before Symbol Ikuno device according to any one of claims 1 to 4, characterized in in different colors to be displayed for each position of brain sections for the address segment.   6. The brain-rearing apparatus according to claim 1, wherein a schematic diagram showing both the right brain and the left brain is displayed on the display unit. 7. 7. The brain-rearing apparatus according to claim 1, wherein the daily action information of the subject is input by the input unit and used as an electronic diary .   The brain-braking device according to any one of claims 1 to 7, wherein the brain classification address is an address classified by system. Locations where oxygen consumption increases or brain activity adjustment functions through activation and sedation, due to changes in neural activity due to actions performed on tasks according to predetermined functions and roles in the human brain Is a program that controls the brain-rearing device that raises the brain of the subject using the brain classification address certified from the relationship between the amount of change in oxidized hemoglobin and the amount of change in reduced hemoglobin. There,
The brain-rearing device associates an input unit for inputting the content of the behavior information of the subject with respect to the task in text, a word or text, and the brain classification address related to the content of the word or text. A brain section address information storage section for storing a brain section address dictionary, a display section, and a control section ;
For each word or sentence in the sentence of the subject's behavior information for the task input by the input unit, refer to the brain classification address dictionary stored in the brain classification address information storage unit, The brain that is activated or subsided by specifying the brain classification address related to the content of the word or sentence and giving a score to the specified brain classification address according to the content of the word or sentence Processing to analyze the division address;
A schematic diagram of a brain, a process of displaying a portion of partitioning of the brain segment for the address number is given in the schematic diagram of the brain on the display unit,
Is executed by the control unit .

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