WO2020247243A1 - Neuroscience based learning-computing - Google Patents
Neuroscience based learning-computing Download PDFInfo
- Publication number
- WO2020247243A1 WO2020247243A1 PCT/US2020/035028 US2020035028W WO2020247243A1 WO 2020247243 A1 WO2020247243 A1 WO 2020247243A1 US 2020035028 W US2020035028 W US 2020035028W WO 2020247243 A1 WO2020247243 A1 WO 2020247243A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- mathematical
- information
- data
- stored
- person
- Prior art date
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Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
Definitions
- the quality of a person's thought, in producing a positive or negative feeling, is influenced by all the life events they have ever had in their lifetime that have produced a response by the body that reinforces their behavior in a certain direction. And their respective genotypes that drive their behavior and encode the production of these neurotransmitters.
- This item is a mathematical construction.
Abstract
Data is stored as mathematical constructions/patterns and allows for improved storage by condensing data into a structure Impulses propagated through a neuron/microchip/diamond reanimate this stored information. When recalling information this mathematical construction is a logical piece of a puzzle which is the problem to be solved.
Description
(A) Specification
Neuroscience based learning-computing
B: Cross Reference to Related Applications: Not Applicable : 63007943—04/09/2020:: 16/430,430-06-04-2019
( C ) Regarding Federally Sponsored Research or Development: Not Applicable ( D): Regarding The Names of The Parties To a Joint Research Agreement:
Not Applicable
E: I ncorporation by reference of material submitted on a compact disc or as a text file
via the The Office Electronic Filing System (EFS-Web):
F: Statement Regarding Prior Disclosures by The Inventor Or a Joint Inventor:
Not Applicable
G: Background of I nvention:
As thoughts progress through the human mind a cascade of events follows. We know from studying the brain using various medical instruments that blood flows into different directions of the brain as a person goes through the conscious process of completing a task, or the unconscious completion of a thought.
This is the basis for all ingrained patterns that humans have. We learn to walk by firing the muscles involved in propelling the body and maintain equilibrium. Dopamine is released, and these patterns get ingrained into the person. Each time a person attempts a new skill a new pathway is made and depending on the resulting success of that action it is either repeated or not repeated. A repeated pattern is usually a successful one and we learn to walk by the continuing action of the activation of the various muscles' groups and the proceeding release of dopamine and secondary messengers that ingrains the movement into the person. The reasons that the cerebellum has an
increased amount of neurons compared to the rest of the brain is the control of all the different motor functions humans have.
Similarly, with thought, the same process happens. As the thought progresses through the psyche a determination is made of the success of this thought and it is either repeated or not repeated. These ingrained thoughts become the basis of personality and general human behavior.
So, when a person has a positive thought that produces a happy feeling in the subj ect neurotransmitters such as dopamine and serotonin are released which act to reinforce the behavior and to stimulate the feeling of happiness. Similarly, when a person has a negative thought the same process occurs, the thought starts and goes through the persons psyche and dopamine is released to reinforce the thought, I n people with disorders these thought patterns that are negative are more highly reinforced and therefore produce a negative life outcome for the person.
The quality of a person's thought, in producing a positive or negative feeling, is influenced by all the life events they have ever had in their lifetime that have produced a response by the body that reinforces their behavior in a certain direction. And their respective genotypes that drive their behavior and encode the production of these neurotransmitters.
Brief Summary of the Invention:
Data is stored as mathematical constructions/patterns this allows for improved storage by condensing data into a structure Impulses propagated through a neuron/microchip/diamond reanimate this stored information. When recalling information this mathematical construction is a logical piece of a puzzle which is the problem to be solved.
When recalling information with many prorogations a dynamically fluid field is developed around the item of interest
Looking at an item you can see it. This is because photons were absorbed/reflected by the atomic structure of the item.
This item is a mathematical construction.
(K) : Claim or Claims: See Document "Claims"
(L): Abstract of Disclosure: See Document "Abstract"
(M): Sequence Listing: Not Applicable
Claims
Claims:
I: data is stored as mathematical constructions/patterns, this allows for improved storage by condensing data into a structure
II: When we see the photon, which is pure information at the basic level, the raw data is then transformed into another mathematical construction which is stored; This construction can be re animated with electrical impulses.
Ill: Very fast information (Language, language represented in mathematical packets) sent in the form of electromagnetic waves gives a person the opportunity to process this information at fast speeds.
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US16/430,430 US20200387778A1 (en) | 2019-06-04 | 2019-06-04 | Creating AI |
US16/430,430 | 2019-06-04 | ||
US202063007943P | 2020-04-09 | 2020-04-09 | |
US63/007,943 | 2020-04-09 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2020247243A1 true WO2020247243A1 (en) | 2020-12-10 |
Family
ID=73652226
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2020/035028 WO2020247243A1 (en) | 2019-06-04 | 2020-05-29 | Neuroscience based learning-computing |
Country Status (1)
Country | Link |
---|---|
WO (1) | WO2020247243A1 (en) |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060045269A1 (en) * | 2004-08-31 | 2006-03-02 | Microsoft Corporation | Quantum computational systems |
US20120207476A1 (en) * | 2009-10-29 | 2012-08-16 | Erik Agrell | Data transmission system and method |
US20150213092A1 (en) * | 2014-01-29 | 2015-07-30 | Relican Analytics, Inc. | Optimized data condenser and method |
US20160267032A1 (en) * | 2014-02-28 | 2016-09-15 | Rigetti & Co., Inc. | Processing Signals in a Quantum Computing System |
WO2019026984A1 (en) * | 2017-08-02 | 2019-02-07 | National Institute For Materials Science | Human brain like intelligent decision-making machine |
US20190356394A1 (en) * | 2018-05-15 | 2019-11-21 | Lightmatter, Inc. | Photonic processing systems and methods |
-
2020
- 2020-05-29 WO PCT/US2020/035028 patent/WO2020247243A1/en active Application Filing
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060045269A1 (en) * | 2004-08-31 | 2006-03-02 | Microsoft Corporation | Quantum computational systems |
US20120207476A1 (en) * | 2009-10-29 | 2012-08-16 | Erik Agrell | Data transmission system and method |
US20150213092A1 (en) * | 2014-01-29 | 2015-07-30 | Relican Analytics, Inc. | Optimized data condenser and method |
US20160267032A1 (en) * | 2014-02-28 | 2016-09-15 | Rigetti & Co., Inc. | Processing Signals in a Quantum Computing System |
WO2019026984A1 (en) * | 2017-08-02 | 2019-02-07 | National Institute For Materials Science | Human brain like intelligent decision-making machine |
US20190356394A1 (en) * | 2018-05-15 | 2019-11-21 | Lightmatter, Inc. | Photonic processing systems and methods |
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