Adaptive regulation of sparseness by feedforward inhibition
Abstract
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.
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.).Attached Files
Accepted Version - nihms311768.pdf
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Additional details
- PMCID
- PMC4061731
- Eprint ID
- 55863
- DOI
- 10.1038/nn1947
- Resolver ID
- CaltechAUTHORS:20150317-143316305
- National Institute on Deafness and Communication Disorders
- NSF
- National Institute of Child Health and Human Development (NICHD)
- NIH
- Created
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2015-03-17Created from EPrint's datestamp field
- Updated
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2021-11-10Created from EPrint's last_modified field