Modeling neuronal dynamic coding in primary visual cortex.

Q Yang; X Qi; W Yunjiu

doi:10.1016/s0303-2647(00)00124-6

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Modeling neuronal dynamic coding in primary visual cortex.

Q Yang·X Qi·W Yunjiu

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Abstract

The visual system can be considered as a multi-layered and dynamic image processing system. According to experimental evidence, the receptive field (RF) organization is characterized by spatio-temporal properties. The modified extended Gabor (MEG) function model was proposed to describe the main spatio-temporal properties of RF at different levels of visual pathway. Based on the MEG model, a three-layered dynamic coding model was constructed for a complex cell. The responses of the complex cell depend on synaptic events from a simple cell assembly within a time window. The membrane potential evolution equation was applied to the analysis of the length of a time window. The simulation results demonstrated that a complex cell plays as a coincidence detector in encoding synaptic events within the time window.

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Mathematics Models, Neurological Neurons Visual Cortex Journal Article Research Support, Non-U.S. Gov't

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Q Yang, X Qi, W Yunjiu. Modeling neuronal dynamic coding in primary visual cortex.. https://doi.org/10.1016/s0303-2647(00)00124-6

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