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http://dx.doi.org/10.17661/jkiiect.2022.15.1.1

Subspace analysis of Poisson Model to extract Firing Characteristics in Visual Cortex  

Lee, Youngseok (Electronic Engineering, Chung-woon University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.15, no.1, 2022 , pp. 1-7 More about this Journal
Abstract
It has been found through physiological experiments that the visual neurons constituting the human visual cortex do not respond to all visual stimuli, but to a visual stimuli with specific conditions. In order to interpret such physiological experiments, a model that can simulate the firing characteristics of neurons including a linear filter with random gain was proposed. It has been proven through experiments that subspaces are formed. To verify the validity of the implemented model, the distribution of values for two pixels randomly extracted from four different visual stimulus data was observed. The difference between the two distributions was confirmed by extracting the central coordinate value, that is, the coordinate value with the most values, from the distribution of the total stimulus data and the spike ignition stimulus data. In the case of the entire set, it was verified through experiments that the stimulus data generating spikes is a subset or subspace of the entire stimulus data. This study can be used as a basic study related to the mechanism of spikes in response to visual stimuli.
Keywords
Human visual cortex; Spike firing model; Poisson process; Visual stimulus; Subspace analysis; Spike triggered average;
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Times Cited By KSCI : 1  (Citation Analysis)
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