A homeostatic rule for inhibitory synapses promotes temporal sharpening and cortical reorganization.
Experience with transient stimuli leads to stronger neural responses that also rise and fall more sharply in time. This sharpening enhances the processing of transients and may be especially relevant for speech perception. We consider a learning rule for inhibitory connections that promotes this sharpening effect by adjusting these connections to maintain a target homeostatic level of activity in excitatory neurons. We analyze this rule in a recurrent network model of excitatory and inhibitory units. Strengthening inhibitory-->excitatory connections along with excitatory-->excitatory connections is required to obtain a sharpening effect. Using the homeostatic rule, we show that repeated presentations of a transient signal will "teach" the network to respond to the signal with both higher amplitude and shorter duration. The model also captures reorganization of receptive fields in the sensory hand area after amputation or peripheral nerve resection.
Moldakarimov
Samat B
SB
Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA.
McClelland
James L
JL
Ermentrout
G Bard
GB
D000671:Amputation, Surgical; D000818:Animals; D002540:Cerebral Cortex / Q000502:physiology*; D003198:Computer Simulation; D006706:Homeostasis; D008959:Models, Neurological; D009473:Neuronal Plasticity; D013569:Synapses / Q000502:physiology*