Synchronization Oscillations in the visual cortex: a Stochastic Model using a Spike Memory term

摘要

This study presents a model, inspired from the biology of the cortex, which reproduces the synchronization and oscillation properties of the visual cortex, for neurons in different hemispheres. A network architecture is presented which models part of the retina and parts of two visual cortical areas in opposite hemispheres. A probabilistic model is proposed to simulate the behaviour of neurons, which takes into account both spatial and temporal integrations with interneural delays, comparable to interhemispherical connectivity. Cell membrane characteristics are modeling using for each neuron a spike memory term. Neuron states are binary {0,1}, and dynamic is stochastic.