Investigating Mammalian Visual System with methods of informational theory
Abstract
We examine a simple model of mammalian visual system. This structure is simulated by means of several hundred Hodgkin-Huxley neurons. We investigate signal processing properties of the model. Some methods taken from informational theory are applied to the analysis of Primary Visual Cortex' dynamics. Discussion of efficiency of such methods in two dimensional movement detection is presented in some detail.
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PDFDOI: http://dx.doi.org/10.17951/ai.2005.3.1.145-152
Date of publication: 2015-01-04 00:00:00
Date of submission: 2016-04-27 10:14:20
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Copyright (c) 2015 Annales UMCS Sectio AI Informatica
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