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Simple image reconstruction method based on LFP phase features and K-nearest neighbor algorithm

A K-nearest neighbor algorithm and simple image technology, applied in the field of information processing, can solve the problems of poor reconstructed image effect, unclear image reconstruction, and complicated image reconstruction experiment process, and achieve the effect of high reduction degree and simplified reconstruction model.

Pending Publication Date: 2018-11-13
郑州布恩科技有限公司
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Problems solved by technology

[0004] The purpose of the present invention is to: provide a simple image reconstruction method based on LFP phase feature and K nearest neighbor algorithm, solve the existing problems of complex image reconstruction experiment process, poor reconstruction image effect and unclear image stimulation reconstruction based on biological vision

Method used

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  • Simple image reconstruction method based on LFP phase features and K-nearest neighbor algorithm
  • Simple image reconstruction method based on LFP phase features and K-nearest neighbor algorithm
  • Simple image reconstruction method based on LFP phase features and K-nearest neighbor algorithm

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Embodiment 1

[0062] like 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.

[0063] After recovery from surgery, it is necessary to generate receptive field stimulation and find neuron channels with better receptive fields, and then reconstruct different stimulus image data for these neurons. In this embodiment, the following methods are used: figure 2 The checkerboard experiment shown uses a black checkerboard with a gray background that flashes randomly as the image stimulus. The checkerboard is a single black grid with a gray background of 15*15, with a total of 225 grids. The brightness value of the gray background is 128, and the brightness value of the black grid is 128. 0, with...

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Abstract

The invention discloses a simple image reconstruction method based on LFP phase features and a K-nearest neighbor algorithm and relates to the field of information processing technology. The method comprises the steps that local field potential signals of a brain visual cortex under image stimulation are collected, and sample stimulation data, target stimulation data, sample response data and target response data are obtained after the image stimulation and the local field potential signals are processed respectively; according to the sample response data and the target response data, sample phase features and target phase features are acquired, and a sample response matrix and a target response matrix are constructed; an image decoder is constructed according to the sample stimulation data and the sample response matrix through the K-nearest neighbor algorithm; and the target response matrix is substituted into the decoder, and a simple image is obtained after target decoding stimulation data is acquired. Through the method, the problems that in existing image stimulation reconstruction based on biological vision, the image reconstruction experiment process is complicated, and a reconstructed image has a poor effect and is not clear are solved.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a simple image reconstruction method based on LFP phase features and K nearest neighbor algorithm. 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 model, and realiz...

Claims

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Application Information

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IPC IPC(8): G06T11/00G06T7/00G06K9/62
CPCG06T7/0002G06T11/003G06T11/005G06T2207/30168G06F18/24147
Inventor 王治忠王松伟牛晓可张彦昆
Owner 郑州布恩科技有限公司
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