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Natural image reconstruction method based on local field potential amplitude-phase composite features

A technology of composite features and natural images, applied in the field of information processing, can solve the problems of poor reconstructed image effect, unclear, complicated image reconstruction experiment process, etc., and achieve the effect of high restoration degree and simplified reconstruction model

Inactive Publication Date: 2018-12-07
TSINGHUA UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide a natural image reconstruction method based on the composite feature of local field potential amplitude and phase, to solve the existing problems of complex image reconstruction experiment process and poor and unclear reconstructed image effect in image stimulus reconstruction based on biological vision

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  • Natural image reconstruction method based on local field potential amplitude-phase composite features
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  • Natural image reconstruction method based on local field potential amplitude-phase composite features

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Embodiment 1

[0070] Such as figure 1 As shown, before carrying out the experiment, it is necessary to select suitable subjects for surgery. The purpose of the surgery is to implant the 32-channel microelectrode array into the neurons of the visual cortex of the animal brain, and the implantation depth is 500-1200um, so that the subsequent local Acquisition of field potential signals.

[0071] After recovery from surgery, it is necessary to generate receptive field stimulation and find neuron channels with better receptive fields, and then reconstruct images of different stimuli for these neurons. This example adopts the following methods: figure 2 In the checkerboard experiment shown, a randomly flashing black checkerboard with a gray background was used as the stimulus pattern. The checkerboard is 15*15 single black grids with a gray background, with a total of 225 grids. The brightness value of the gray background is 128, and the brightness value of the black grids is 0, within a cycle...

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Abstract

The invention discloses a natural image reconstruction method based on local potential amplitude-phase composite features, and relates to the technical field of information processing. The natural image reconstruction method comprises the steps of collecting a local field potential signal of the visual cortex of the brain under image stimulation, and respectively processing the image stimulation and the local field potential signal to obtain sample stimulation data, target simulation data, sample response data and target response data; obtaining a sample amplitude-phase composite feature and atarget amplitude-phase composite feature according to training response data and the target response data, and constructing a sample response matrix and a target response matrix; building a reconstruction filter model according to the sample stimulation data and the sample response matrix; substituting the target response matrix into the reconstruction filter model, and obtaining a natural imageafter acquiring target reconstruction stimulation data. The natural image reconstruction method solves problems that the existing image stimulated reconstruction implemented based on biological visionis complex in image reconstruction experiment process and that the reconstruction image is poor in effect and unclear.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a natural image reconstruction method based on the composite feature of local field potential amplitude and phase. Background technique [0002] The brain is an extremely complex nervous system and the center for various information processing. Among them, the visual system is the main sensory system for animals to perceive the external environment. The study of animal visual system has become one of the important topics of common concern in neuroscience, intelligence science, computer science, biological science and other disciplines. Studies have proved that visual information accounts for more than 80% of the external information obtained by the animal brain. It is a very challenging problem to detect the local field potential (LFP) signal of brain neurons through an implanted microelectrode array, extract response features, construct an image reconstruction m...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/00A61B5/00
CPCG06T7/0002A61B5/725G06T2207/30168G06F2218/02
Inventor 师丽王治忠王松伟牛晓可
Owner TSINGHUA UNIV
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