Orientation Coding by Population of Neurons in Rats' Primary Visual Cortex

Abstract:

Research on Primate visual cortex (V1 area) neurons orientation coding mechanism is the base of revealing the whole visual cortex information processing mechanism. Firstly, this paper adopted different orientation grating to stimulate visually on rats. Meanwhile, gather response signals of population neurons from V1 area using multi-electrode arrays. Then, screen effective response channels according to the orientation selection of different neurons in different channels. Besides, extract Spike average fire rate and LFPγ band power feature in every effective channel signals within specific stimulus response time to construct population response joint features. Finally, taking Lasso regression model as coding model, use joint features to differentiate grating orientation, in order to research on V1 areas population neurons orientation coding. The consequences indicate that the results of population response joint features coding for six different orientation are superior to the results of any single feature of population response coding, and remarkably better than the results of single channel response feature coding.

• Periodical: Applied Mechanics and Materials (Volumes 427-429)
• Pages: 2089-2093
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.427-429.2089
• Online since: September 2013
• Authors: Li Shi, Qi Ming Ye, Xiao Ke Niu
• Keywords: Joint Characteristics, Lasso Logistic Regression, Orientation Coding, Population Coding, Primary Visual Cortex

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