A cellular automaton based model for visual perception based on anatomical connections

A phenomenological model of visual perceptual dynamics is proposed based upon the Cellular Automata (CA) which considers the anatomical connections between visual areas of the macaque brain. Some other important characteristics of neural networks of the brain are also included in the model, such as...

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Bibliographic Details
Published inScientia Iranica. Transaction D, Computer science & engineering, electrical engineering Vol. 22; no. 6; p. 2492
Main Authors Beigzadeh, M, Golpayegani, S M R Hashemi
Format Journal Article
LanguageEnglish
Published Tehran Sharif University of Technology 01.12.2015
Subjects
Brain
Dynamical systems
Neural networks
Visual perception
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Summary:A phenomenological model of visual perceptual dynamics is proposed based upon the Cellular Automata (CA) which considers the anatomical connections between visual areas of the macaque brain. Some other important characteristics of neural networks of the brain are also included in the model, such as the excitatory-inhibitory ratio of neural populations, synaptic delays, etc. A new form of "geometric mean interaction rules" among neural populations is also introduced which could be considered more realistic than current "arithmetic mean-based rules". This computational model is capable of showing interesting dynamical behaviors, seen in the visual perceptual states of the brain.