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

Abstract

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.