title: Modeling neuronal dynamic coding in primary visual cortex.
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.
authors.affiliation: Laboratory of Visual Information Processing, Institute of Biophysics, Academy of Sciences, Beijing, People's Republic of China.
authors.forename: Q
authors.initials: Q
authors.lastname: Yang
authors.forename: X
authors.initials: X
authors.lastname: Qi
authors.forename: W
authors.initials: W
authors.lastname: Yunjiu
mesh_terms: D008433:Mathematics; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D014793:Visual Cortex / Q000502:physiology*