CN108805092A - Coloured image method for reconstructing based on local field potentials phase nonlinear mappings characteristics - Google Patents
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Abstract
The invention discloses a kind of coloured image method for reconstructing based on local field potentials phase nonlinear mappings characteristics, method and step is as follows：Color stimulus image is handled to obtain sample stimulus data and goal stimulus data, acquires the local field potentials signal to biostimulation hindbrain electricity, processing obtains sample responses data and target response data；The sample that extraction obtains the phase nonlinear mapping characterization of sample responses data provides feature；Feature, which is provided, according to sample stimulus data and sample obtains coloured image decoded model；The target for extracting the phase nonlinear mapping characterization of target response data provides feature, provides feature according to target and coloured image decoded model obtains target decoder stimulus data, reconstruction image is obtained using target decoder stimulus data.The method of the present invention extraction has more targetedly phase nonlinear mappings characteristics, excludes influence of the excessive interference information to reconstructed results, simplifies reconstruction model, while making the reduction degree higher for rebuilding coloured image.
Description
Technical field
The invention belongs to Image Reconstruction Technology fields, and in particular to one kind is special based on the mapping of local field potentials phase nonlinear
The coloured image method for reconstructing of sign.
Background technology
Brain is a kind of extremely complex nervous system, is the maincenter for realizing various information processings.Along with brain be as
Where manages this problem of various information, and nerve information science is come into being.It is a cross discipline, including neurology, life
Various knowledge such as object, computer science study the Neural information processing mechanism of brain.In recent years, it has obtained many prominent
It produces result, causes the extensive concern of countries in the world scientist.Wherein, vision system is the main sense of animal sensing external environment
Feel system.Research has shown that in the external information acquired in animal brain, visual information accounts for 80% or more.By being implanted into the electricity that declines
Pole array detection brain neuron local field potentials signal extracts response characteristic, builds reconstruction model, realizes visual perception information
Reconstruction is an extremely challenging problem.
Stanley et al. utilizes eight sections of video images of the neuron action potential signal reconstruction of cat, but it is only rebuild
Gray level image.Freiwald W A et al. realize the solution of grating direction by recording the areas rat V1 neuron response signal
Code, decoder object are too simple.Modes of the Elahe Yargholi et al. based on function Magnetic resonance imaging, to handwritten numeral
It is rebuild, but there is a problem that function Magnetic resonance imaging temporal resolution is low and reconstruction quality is poor.The present invention carries
Go out a kind of local field potentials signal recording biological brain electricity by microelectrode array, utilizes its phase nonlinear mappings characteristics pair
The method that coloured image is rebuild.
Invention content
It is an object of the invention to：Solving conventional images reconstruction technique could be completed due to needing using a large amount of neuron
Model parameter is determining and causes reconstruction process complicated and does not have specific aim to neural response signal characteristic abstraction and then lead to weight
It is undesirable and the problem of be difficult to rebuild coloured image to build result, it is proposed that map based on local field potentials phase nonlinear
The coloured image method for reconstructing of feature, extraction have more targetedly phase nonlinear mappings characteristics, exclude excessive interference letter
The influence to reconstructed results is ceased, reconstruction model is simplified, while making the reduction degree higher for rebuilding coloured image.
The technical solution adopted by the present invention is as follows：
Based on the coloured image method for reconstructing of local field potentials phase nonlinear mappings characteristics, method includes the following steps：
Step 1 will handle the coloured image of biostimulation to obtain sample stimulus data and goal stimulus data, adopt
The local field potentials signal of set pair biostimulation hindbrain electricity handles local field potentials signal and signal is divided into sample responses data
With target response data；
The sample that step 2, extraction obtain the phase nonlinear mapping characterization of sample responses data provides feature；
Step 3 provides feature acquisition coloured image decoded model according to sample stimulus data and sample；
Step 4, the target for the phase nonlinear mapping characterization for extracting target response data provide feature, according to target granting
Feature and coloured image decoded model obtain target decoder stimulus data, and reconstruction image is obtained using target decoder stimulus data.
Further, the method further includes step 5：Normalizing is obtained according to goal stimulus data and target decoder stimulus data
Change cross-correlation coefficient, and reconstruction image is assessed according to normalized-cross-correlation function.
Further, normalized-cross-correlation function formula is in the step 5：
ρS, uFor normalized-cross-correlation function；ρS, u∈ [- 1,1]；S (n) is the matrix of goal stimulus data composition；U (n) is
The matrix of target decoder stimulus data composition；L is goal stimulus data length.
Further, it is to use to sweep screen pattern in the step 1, image is carried out effectively segmentation to be pierced to obtain the sample of image
Swash data.
Further, power frequency filtering, the signal data that will be obtained are carried out to the local field potentials signal of acquisition in the step 1
Preceding four part is referred to as sample responses data, and last part is target response data.
Further, the step 2 the specific steps are：
Step 2.1 carries out discrete Fourier transform to sample responses data, extracts the phase at each stepped-frequency signal
Feature；
Step 2.2, according to Nonlinear MappingThe granting feature for obtaining phase nonlinear mapping characterization, in formula
XfSample for the phase nonlinear mapping characterization at frequency f provides feature,For the phase at frequency f.
Further, the step 3 the specific steps are：
Step 3.1 provides feature, construction sample responses matrix R according to sample：
Wherein,Indicate non-thread in the stimulation of ith pixel block, j-th of phase of the channels v neuron local field potentials signal
Property mapping characterization granting feature；
Step 3.2 obtains coloured image according to sample stimulus data and sample responses matrix R by algorithm of support vector machine
Decoded model m：
Further, the step 4 the specific steps are：
Step 4.1：The target for extracting the phase nonlinear mapping characterization of target response data provides feature, and according to target
Provide latent structure target response matrix；
Step 4.2：According to the coloured image decoded model m and target response matrix acquisition target decoder thorn in step 3
Swash data：
Step 4.3：Target decoder stimulus data is extracted to obtain reconstruction image.
In conclusion by adopting the above-described technical solution, the beneficial effects of the invention are as follows：
1, in the present invention, the local field potentials in EEG signals of the method by extracting biology are extracted more targeted
Phase nonlinear mappings characteristics, exclude influence of the excessive interference information to reconstructed results, simplify reconstruction model, make simultaneously
The reduction degree higher of coloured image must be rebuild；
2, in the present invention, it is mutual that method and step can obtain normalization according to goal stimulus data and target decoder stimulus data
Related coefficient, the effect rebuild to coloured image according to normalized-cross-correlation function are evaluated, to obtain coloured image weight
Directly assessment data are built, can obtain intuitively rebuilding effect；
3, in the present invention, using screen pattern is swept, picture progress effectively segmentation is obtained into the sample stimulus data of image, from
And ensure that and can see whole pictures in the case of motionless in animal nerve unit, then had found in neuron response
Feature, that is, phase nonlinear mappings characteristics of effect characterization respective pixel block obtain preferably rebuilding knot later using cluster information
Fruit；
4, in the present invention, animal vision system fast target extraction and recognition capability under complex scene are taken full advantage of,
It can realize to rebuild based on biological EEG signals and carry out automatic camera, the information of extraneous scene can be recorded at any time.
Description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the method for the present invention flow diagram；
Fig. 2 is present invention method flow diagram；
Fig. 3 is that gridiron pattern of the embodiment of the present invention tests gridiron pattern schematic diagram；
The receptive field position view that Fig. 4 embodiment of the present invention is measured.
Specific implementation mode
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, not
For limiting the present invention, i.e., described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is logical
The component for the embodiment of the present invention being often described and illustrated herein in the accompanying drawings can be arranged and be designed with a variety of different configurations.
Therefore, below the detailed description of the embodiment of the present invention to providing in the accompanying drawings be not intended to limit it is claimed
The scope of the present invention, but be merely representative of the present invention selected embodiment.Based on the embodiment of the present invention, people in the art
The every other embodiment that member is obtained without making creative work, shall fall within the protection scope of the present invention.
It should be noted that the relational terms of term " first " and " second " or the like be used merely to an entity or
Operation is distinguished with another entity or operation, and without necessarily requiring or implying between these entities or operation, there are any
This actual relationship or sequence.Moreover, the terms "include", "comprise" or its any other variant be intended to it is non-exclusive
Property include so that including a series of elements process, method, article or equipment not only include those elements, but also
Further include other elements that are not explicitly listed, or further include for this process, method, article or equipment it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including described
There is also other identical elements in the process, method, article or equipment of element.
Based on the coloured image method for reconstructing of local field potentials phase nonlinear mappings characteristics, method is by extracting biology
Local field potentials signal in EEG signals, extraction have more targetedly phase nonlinear mappings characteristics, exclude excessive do
Influence of the information to reconstructed results is disturbed, reconstruction model is simplified, while making the reduction degree higher for rebuilding coloured image.And it is square
Method takes full advantage of animal vision system fast target extraction and recognition capability under complex scene, can realize based on biological brain
Electric signal, which is rebuild, carries out automatic camera, can record the information of extraneous scene at any time.Method includes the following steps：
Step 1 will handle the coloured image of biostimulation to obtain sample stimulus data and goal stimulus data, adopt
The local field potentials signal of set pair biostimulation hindbrain electricity handles local field potentials signal and signal is divided into sample responses data
With target response data.
Multi-channel signal acquiring system can be used in the local field potentials signal of biostimulation hindbrain electricity, and to carry out synchronous recording mostly logical
Road Neural spike train signal, the system can record the EEG signals in up to 128 channels in real time, and provide several online processing god
Function through signal, if line noise is eliminated, while operation of recording electric potential signal and local field potentials signal, either automatically or manually
Online real-time action current potential classification in ground etc., 32 recording channels and 1 analog channel of the system are mainly utilized in the present invention.
It can be made using stereotaxic instrument according to the position of visual cortex in the brain function structure collection of illustrative plates of animal before signal acquisition
The approximate range of left brain visual cortex, and marking is bored with cranium and drills out four edges along the range of label, middle section with tweezers slowly
It chooses out, then rejects endocranium, 32 channel microelectrode arrays are fixed on electrode stem, under microscopic visualization, by miniature
Operator coordination electrode slowly moves, until its implantation depth be 500~1200um, operation complete, wait for its restore after a week into
Row signal acquisition.
Further, it is to use to sweep screen pattern in the step 1, image is carried out effectively segmentation to be pierced to obtain the sample of image
Swash data.Whole pictures are can see in the case of motionless in animal nerve unit to ensure that, are then responded in neuron
In have found the feature i.e. phase nonlinear mappings characteristics of Efficient Characterization respective pixel block, obtained preferably using cluster information later
Reconstructed results.
Further, power frequency filtering is carried out to the local field potentials signal of acquisition in the step 1, it is recognized that it is filtered for 50Hz,
Four parts before obtained signal data are referred to as sample responses data, last part is target response data.
The sample that step 2, extraction obtain the phase nonlinear mapping characterization of sample responses data provides feature.Step 2 has
Body is：
Step 2.1 carries out discrete Fourier transform to sample responses data, extracts the phase at each stepped-frequency signal
Feature；
With one of signal sampling channel, an as neuron is described in detail：First from the local field of preservation
The time point that each biostimulation plays is read out in electric potential signal data file, is then extracted from the channel data current
It stimulates in play time (generally adding a delay time) to the response data between stimulus duration, later to this
Response data carries out discrete Fourier transform, and the response data after the transformation obtained at this time includes phase information, then according to institute
The frequency band of selection extracts corresponding phaseFeature.
Step 2.2, according to Nonlinear MappingThe granting feature for obtaining phase nonlinear mapping characterization, in formula
XfSample for the phase nonlinear mapping characterization at frequency f provides feature,For the phase at frequency f.
Step 3 provides feature acquisition coloured image decoded model according to sample stimulus data and sample.Step 3 is specially：
Step 3.1 provides feature, construction sample responses matrix R according to sample：
Wherein,Indicate non-thread in the stimulation of ith pixel block, j-th of phase of the channels v neuron local field potentials signal
Property mapping characterization granting feature；
Step 3.2 obtains coloured image according to sample stimulus data and sample responses matrix R by algorithm of support vector machine
Decoded model m.
Step 4, the target for the phase nonlinear mapping characterization for extracting target response data provide feature, according to target granting
Feature and coloured image decoded model obtain target decoder stimulus data, and reconstruction image is obtained using target decoder stimulus data.
Step 4 is specially：
Step 4.1：The target for extracting the phase nonlinear mapping characterization of target response data provides feature, and according to target
Latent structure target response matrix is provided, target response matrix construction methods are identical as above-mentioned sample responses data construction method.
Step 4.2：According to the decoded model m and target response matrix acquisition target decoder stimulus data in step 3.
Step 4.3：Target decoder stimulus data is extracted to obtain reconstruction image.
Further, the method further includes step 5：Normalizing is obtained according to goal stimulus data and target decoder stimulus data
Change cross-correlation coefficient, and reconstruction image is assessed according to normalized-cross-correlation function.This step can be according to goal stimulus number
According to this and target decoder stimulus data obtains normalized-cross-correlation function, according to normalized-cross-correlation function to the effect of image reconstruction
Fruit is evaluated, and data are directly assessed to obtain image reconstruction, can obtain intuitively rebuilding effect.
Further, normalized-cross-correlation function formula is in the step 5：
ρS, uFor normalized-cross-correlation function；ρS, u∈ [- 1,1]；S (n) is the matrix of goal stimulus data composition；U (n) is
The matrix of target decoder stimulus data composition；L is goal stimulus data length.
Positive correlation ρS, uWhen=+ 1, show that practical stimulation is identical with decoding stimulation shape and phase, negatively correlated ρS, u=-
When 1, show that practical stimulation stimulates shape identical but opposite in phase with decoding, that is to say, that normalized-cross-correlation function is more intended to
1 or -1, decoding effect is better；
Wherein it should be noted that local field potentials, that is, LFP, local field potentials generally take in original signal less than 250Hz's
Low frequency part, what it reflected is the excitement of the neuroid of regional area near eletrode tip, the change of outstanding behaviours slow potential
Change feature, can deform and decay during propagation.
The feature and performance of the present invention are described in further detail with reference to embodiments.
Embodiment 1
A kind of coloured image based on local field potentials phase nonlinear mappings characteristics that present pre-ferred embodiments provide
Method for reconstructing is watched stimulation to animal and is played, then local field potentials signal obtained by signal collecting device, by feature
Extraction, modeling reconstruct stimulation, this stimulation is exactly coloured image.
Signal acquisition process is mainly made of three bulks, and study subject operation and experiment positioning are respectively stimulus modality life
At play system and signal acquiring system and model foundation, study subject is performed the operation and experiment positioning is the prerequisite item of signal acquisition
Part does basis for the acquisition of outstanding signal later, and it is the source that animal receives particular stimulation that stimulus modality, which generates play system, from
And we can obtain the signal of expectation, signal acquiring system and model foundation are to pass through signal acquisition system to obtain signal
System can obtain signal data and be analyzed, and model foundation is for feature extraction and reconstruction.The present embodiment method flow is illustrated
Figure is as shown in Figure 2.
Method and step is：
Step 1 will handle the coloured image of biostimulation to obtain sample stimulus data and goal stimulus data, adopt
The local field potentials signal of set pair biostimulation hindbrain electricity handles local field potentials signal and signal is divided into sample responses data
With target response data.
The sample that step 2, extraction obtain the phase nonlinear mapping characterization of sample responses data provides feature.
Step 3 provides feature acquisition coloured image decoded model according to sample stimulus data and sample.
Step 4, the target for the phase nonlinear mapping characterization for extracting target response data provide feature, according to target granting
Feature and coloured image decoded model obtain target decoder stimulus data, and reconstruction image is obtained using target decoder stimulus data.
The method of biological receptive field stimulus modality is tested for gridiron pattern, and Fig. 3 tests for gridiron pattern, and Fig. 4 is the impression measured
Wild position.Gridiron pattern size arranges for 15 row * 15, full frame random appearance, frequency 20Hz, and each image stops 50ms, is repeated 10 times.
The position of neuron receptive field, receptive field stimulus modality are determined using the classical reversed correlation technique based on Spikes granting rates
Purpose be determine animal receptive field position, so as to model rebuild use.It is black that the present embodiment devises the grey bottom flashed at random
Gridiron pattern stimulus modality, the gridiron pattern in figure are 15*15 ash bill kept on file black squares, totally 225 grid, and the brightness value at grey bottom is 128, black
The brightness value of lattice is 0, and in one cycle, black square occurs at random, and all only appearance is primary black for all 225 tessellated points
Lattice, temporal frequency 20Hz, i.e. black square show 50ms every time.The present embodiment is repeated 15 times experiment, the side averaged using superposition
Method reduces the random error being likely to occur in experiment.
After determining receptive field position, carry out coloured image stimulation play, coloured image stimulate broadcast mode be successively from
Upward down, mobile 2 pixels, primary per movement from bottom to top to be moved from right to left with 2 pixels simultaneously every time, really
The center that every 4 pixels (2 × 2) sweep screen and entire picture all have passed through each neuron receptive field is protected, in addition each
Stimulate and ash screen rest be added after frame, be so repeated 5 times cycle, screen refresh rate 30Hz, the present invention by taking crotch stimulates as an example,
Every group of experiment picture is 16000, and moderate stimulation picture number is 8000, wherein stimulation picture used when training is 6400
, when test, stimulation picture used was 1600.
It recycles discrete Fourier transform and support vector machines to carry out feature extraction and modeling, correlation is used in combination to be tied to rebuilding
The quality of fruit is assessed, and feature is then to refer to correlation using the phase nonlinear mappings characteristics in LFP signals
Mark, analyzes different channels, number of active lanes, the data time length of interception, what delay time and frequency band rebuild coloured image
Influence, with the reconstruction parameter that determination is optimal, then choose optimized parameter and carry out coloured image reconstruction, the determination of number of active lanes be for
The signal for preventing the neuron of certain poor qualities from obtaining adversely affects reconstructed results, and data time length refers to for I
The animal brain that sets to the time span of stimuli responsive, delay time be when stimulate play when, animal visual cortex is not
Signal granting is carried out immediately, so setting a time delay herein to ensure the accuracy of stimulus information；
Feature extraction and modeling are as follows：
First into the selection of row of channels, set data time length as 0.4s, delay time 0.01s, to single channel into
Row coloured image is rebuild, and finds out 32 single pass reconstruction cross-correlation coefficients；Then channel number is rebuild mutually according to respective
Coefficient values carry out descending arrangement, and channel of gradually adding up from optimal channel carries out the reconstruction of different numbers of channels, according to correlation
Size selects optimal channel quantity；
It is determined according to the above results and rebuilds number of channels, set delay time as delayt=0.01s, carry out optimal data
Time span is chosen, we are usually set to 0-1s for the range of data time length, using 0.05s as time interval, a total of 20
Then a data obtain optimal data time span from the correlation results of 20 data, in general, when data time is long
When degree is more than optimal, rebuilds cross correlation numerical value and tend to be saturated；Delay time selection is carried out later, and delay time is less than optimal
Data length, time interval 0.01s, the corresponding delay time of correlation maximum can be obtained by running us by program,
In general, delay time starts to be remarkably decreased more than reconstruction cross correlation numerical value after the optimal delay time, determining to rebuild
Optimal channel quantity, optimal data length and after the optimal delay time, frequency band choosing is carried out to local field potentials signal characteristic
Take because local field potentials signal belongs to low-frequency information, frequency range is 1Hz~250Hz, if frequency range be f1~
The ranging from 1-200Hz of f2, f1, are divided into 5Hz, the ranging from 150Hz-250Hz of f2, are divided into 5Hz, pass through the operation of program
Correlation data can be obtained, the range of maximum value frequency band is selected.
Using above-mentioned optimized parameter, using preceding 4 cycle frame numbers that each coloured image stimulates as training data, the 5th
Frame number is recycled as test data (training data and test data are not overlapped), is rebuild.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
All any modification, equivalent and improvement etc., should all be included in the protection scope of the present invention made by within refreshing and principle.
Claims (8)
1. a kind of coloured image method for reconstructing based on local field potentials phase nonlinear mappings characteristics, which is characterized in that method
Include the following steps：
Step 1 will be handled to obtain sample stimulus data and goal stimulus data to the color stimulus image of biostimulation, be adopted
The local field potentials signal of set pair biostimulation hindbrain electricity handles local field potentials signal and signal is divided into sample responses data
With target response data；
The sample that step 2, extraction obtain the phase nonlinear mapping characterization of sample responses data provides feature；
Step 3 provides feature acquisition coloured image decoded model according to sample stimulus data and sample；
Step 4, the target for the phase nonlinear mapping characterization for extracting target response data provide feature, and feature is provided according to target
Target decoder stimulus data is obtained with coloured image decoded model, reconstruction image is obtained using target decoder stimulus data.
2. the coloured image method for reconstructing of local field potentials phase nonlinear mappings characteristics according to claim 1, special
Sign is that the method further includes step 5：Normalized crosscorrelation is obtained according to goal stimulus data and target decoder stimulus data
Coefficient, and reconstruction image is assessed according to normalized-cross-correlation function.
3. the coloured image method for reconstructing of local field potentials phase nonlinear mappings characteristics according to claim 2, special
Sign is that normalized-cross-correlation function formula is in the step 5：
ρS, uFor normalized-cross-correlation function；ρS, u∈ [- 1,1]；S (n) is the matrix of goal stimulus data composition；U (n) is target
Decode the matrix of stimulus data composition；L is goal stimulus data length.
4. the coloured image method for reconstructing according to claim 1 based on local field potentials phase nonlinear mappings characteristics,
It is characterized in that, being to use to sweep screen pattern in the step 1, image is carried out effectively segmentation stimulates number to obtain the sample of image
According to.
5. the coloured image method for reconstructing according to claim 1 based on local field potentials phase nonlinear mappings characteristics,
It is characterized in that, power frequency filtering is carried out to the local field potentials signal of acquisition in the step 1, by before obtained signal data four
Part is referred to as sample responses data, and last part is target response data.
6. the coloured image method for reconstructing according to claim 1 based on local field potentials phase nonlinear mappings characteristics,
It is characterized in that, the step 2 the specific steps are：
Step 2.1 carries out discrete Fourier transform to sample responses data, extracts the phase at each stepped-frequency signalIt is special
Sign；
Step 2.2, according to Nonlinear MappingObtain the granting feature of phase nonlinear mapping characterization, X in formulafFor
The sample of phase nonlinear mapping characterization provides feature at frequency f,For the phase at frequency f.
7. the coloured image method for reconstructing according to claim 1 based on local field potentials phase nonlinear mappings characteristics,
It is characterized in that, the step 3 the specific steps are：
Step 3.1 provides feature, construction sample responses matrix R according to sample：
Wherein,Indicate that j-th of phase nonlinear in the stimulation of ith pixel block, the channels v neuron local field potentials signal reflects
The granting feature of firing table sign；
Step 3.2 obtains coloured image decoding according to sample stimulus data and sample responses matrix R by algorithm of support vector machine
Model m.
8. the coloured image method for reconstructing according to claim 1 based on local field potentials phase nonlinear mappings characteristics,
It is characterized in that, the step 4 the specific steps are：
Step 4.1：The target for extracting the phase nonlinear mapping characterization of target response data provides feature, and according to target granting
Latent structure target response matrix；
Step 4.2：According to the coloured image decoded model and target response matrix acquisition target decoder stimulation number in step 3
According to：
Step 4.3：Target decoder stimulus data is extracted to obtain reconstruction image.
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Citations (1)
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| CN103479449A (en) * | 2013-09-17 | 2014-01-01 | 深圳先进技术研究院 | Brain imaging outside sensing system and method for acquired blind people |
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| CN103479449A (en) * | 2013-09-17 | 2014-01-01 | 深圳先进技术研究院 | Brain imaging outside sensing system and method for acquired blind people |
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| WANG SONGWEI 等: "Luminance information decoding on the basis of local field potential signals of pigeon optic tectum neurons", 《NEUROREPORT》 * |
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