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  Adaptive regulation of sparseness by feedforward inhibition

Assisi, C., Stopfer, M., Laurent, G., & Bazhenov, M. (2007). Adaptive regulation of sparseness by feedforward inhibition. Nat Neurosci, 10(9), 1176-84. doi:10.1038/nn1947.

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Assisi, C., Author
Stopfer, M., Author
Laurent, Gilles1, Author           
Bazhenov, M., Author
Affiliations:
1Neural systems Department, Max Planck Institute for Brain Research, Max Planck Society, ou_2461701              

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Free keywords: Action Potentials/physiology *Adaptation, Physiological Analysis of Variance Animals Annelida Dose-Response Relationship, Drug *Models, Neurological Mushroom Bodies/cytology Nerve Net/physiology Neural Inhibition/*physiology Neurons/*physiology Nonlinear Dynamics *Odorants Smell/*physiology Synapses/physiology
 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.

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 Dates: 2007-07-31
 Publication Status: Issued
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 Identifiers: Other: 17660812
DOI: 10.1038/nn1947
ISSN: 1097-6256 (Print)1097-6256 (Linking)
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Title: Nat Neurosci
Source Genre: Journal
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Pages: - Volume / Issue: 10 (9) Sequence Number: - Start / End Page: 1176 - 84 Identifier: -