High conductance state in a model of visual cortex
New York University
I will discuss the consequences of high, activity-dependent, synaptic Conductances in neurons in a large-scale neuronal network model of layer 4C of Macaque V1. This high conductance state accounts for experimental observations about orientation selectivity, dynamics, and response magnitude, and the linear dependence of simple cells on visual stimuli. These large conductances can be traced to inhibitory cortico-cortical synapses, and the model's predictions of large conductance changes are consistent with recent intracellular measurements. This high-conductance state has functional consequences for temporal coding in cortex, as well as yielding simplified mathematical approaches to understanding neuronal and cortical response.