title: Dendritic inhibition enhances neural coding properties.
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 that 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 that are not provided by post-integration inhibition.
authors.affiliation: Centre for Brain and Cognitive Development, Birkbeck College, 32 Torrington Square, London WC1E 7JL, UK. m.spratling@bbk.ac.uk
authors.forename: M W
authors.initials: MW
authors.lastname: Spratling
authors.forename: M H
authors.initials: MH
authors.lastname: Johnson
mesh_terms: D000465:Algorithms; D003712:Dendrites / Q000502:physiology*; D006801:Humans; D009433:Neural Inhibition / Q000502:physiology*; D016571:Neural Networks, Computer; D017966:Pyramidal Cells / Q000502:physiology / Q000648:ultrastructure