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Dendritic inhibition enhances neural coding properties.

By M. W Spratling and M. H. Johnson

Abstract

The presence of a large number of inhibitory contacts at the soma and axon initial segment of cortical pyramidal cells has inspired a large and influential class of neural network model which use post-integration lateral inhibition as a mechanism for competition between nodes. However, inhibitory synapses also target the dendrites of pyramidal cells. The role of this dendritic inhibition in competition between neurons has not previously been addressed. We demonstrate, using a simple computational model, that such pre-integration lateral inhibition provides networks of neurons with useful representational and computational properties which are not provided by post-integration inhibition

Topics: Neural Modelling, Computational Neuroscience, Neural Nets
Year: 2001
DOI identifier: 10.1093/cercor/11.12.1144
OAI identifier: oai:cogprints.org:2379

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