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Adaptive regulation of sparseness by feedforward inhibition

Assisi, Collins and Stopfer, Mark and Laurent, Gilles and Bazhenov, Maxim (2007) Adaptive regulation of sparseness by feedforward inhibition. Nature Neuroscience, 10 (9). pp. 1176-1184. ISSN 1097-6256. PMCID PMC4061731. doi:10.1038/nn1947.

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In the mushroom body of insects, odors are represented by very few spikes in a small number of neurons, a highly efficient strategy known as sparse coding. Physiological studies of these neurons have shown that sparseness is maintained across thousand-fold changes in odor concentration. Using a realistic computational model, we propose that sparseness in the olfactory system is regulated by adaptive feedforward inhibition. When odor concentration changes, feedforward inhibition modulates the duration of the temporal window over which the mushroom body neurons may integrate excitatory presynaptic input. This simple adaptive mechanism could maintain the sparseness of sensory representations across wide ranges of stimulus conditions.

Item Type:Article
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URLURL TypeDescription CentralArticle
Laurent, Gilles0000-0002-2296-114X
Additional Information:© 2007 Nature Publishing Group. Received 4 May; accepted 26 June; published online 29 July 2007. This work was supported by grants from the US National Institute of Deafness and other Communication Disorders (C.A., G.L. and M.B.), the National Science Foundation (G.L.) and a US National Institute of Child Health and Human Development intramural award (M.S.).
Funding AgencyGrant Number
National Institute on Deafness and Communication DisordersUNSPECIFIED
National Institute of Child Health and Human Development (NICHD)UNSPECIFIED
Issue or Number:9
PubMed Central ID:PMC4061731
Record Number:CaltechAUTHORS:20150317-143316305
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:55863
Deposited By: Tony Diaz
Deposited On:17 Mar 2015 21:49
Last Modified:10 Nov 2021 20:51

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