The Analysis For Response Signal Of Rats Primary Visual Cortex V1 Under The Visual Stimulation

Nervous system is a main system that human and animal can process, treat and store information by them. Neuron is the basic function unit of the nervous system. We can process all kinds of information that are relying on neurons on the whole. At present, that we understand the mechanism of nervous system information processing is largely dependent on understanding the neuronal signal transferring process. The task of the nerve information science is to explore the control mode of nervous system for perception, behavior, learning, and memory and so on, in order to reveal the information processing mechanism such as neural information generation, transmission, processing, coding, storage and extraction. The visual nerve system is the primary system to process information. The study has proved that 80% information is acquired by the visual system. Therefore, it is very necessary to research the visual nerve system.In this paper, the neural network of rat primary visual cortex V1 is selected as a research object. With different orientation moving grating as the visual stimulus, with the microelectrode array technology recording response signal for the primary visual cortex V1 neurons when the rat is under the different visual stimulation conditions, the purpose is to explore the relationship between the features of response signals and the visual stimulation information, so as to reveal the response mode of the rat primary visual cortex V1 neurons for the visual information. This paper mainly researches on two kinds of response signal including action potentials and local field p, and can be divided into the following two parts:Firstly, for the action potential signal of rat primary visual cortex V1 neurons, based on studying multiple methods of classification, the feature extraction method is used to obtain features of action potential and determine the number of neurons. Based on the feature set, the improved K-means algorithm and hierarchical clustering algorithm are used to specify each action potential to each neuron cells in order to analyze the neuron firing time series. Through analyzing the neuron firing time series, we found the orientation of the moving grating stimuli has different degrees of reflection on the firing rate and interspike interval for neurons. In addition, we found there is synchronization through analyzing the firing correlations between neurons by the way of correlation function, and the V1 neural network can achieve visual information processing is the result of neurons'synergy.Secondly, for the local field potential signals of rat primary visual cortex V1 neurons, with the traditional methods of analyzing biological signals, we found that the orientation of the moving grating stimuli has influence on the average power, such as the average power of each channel is relatively higher when the orientation of the moving grating stimuli is 150°. However, the effect of moving grating stimuli orientation to the local field potential signals'gravity frequency is very small. The gravity frequency of each channel is basically between 1.2 Hz and 1.9 Hz. Through the phase analysis, we observed that this is the phase-synchronization between signal of channels, and the degree of phase-synchronization is different when the orientation of moving grating stimuli is changed.