Literature DB >> 17855585

Olfactory coding with all-or-nothing glomeruli.

Alexei Koulakov1, Alan Gelperin, Dmitry Rinberg.   

Abstract

We present a model for olfactory coding based on spatial representation of glomerular responses. In this model distinct odorants activate specific subsets of glomeruli, dependent on the odorant's chemical identity and concentration. The glomerular response specificities are understood statistically, based on experimentally measured distributions of activation thresholds. A simple version of the model, in which glomerular responses are binary (the all-or-nothing model), allows us to account quantitatively for the following results of human/rodent olfactory psychophysics: 1) just noticeable differences in the perceived concentration of a single odor (Weber ratios) are as low as dC/C approximately 0.04; 2) the number of simultaneously perceived odors can be as high as 12; and 3) extensive lesions of the olfactory bulb do not lead to significant changes in detection or discrimination thresholds. We conclude that a combinatorial code based on a binary glomerular response is sufficient to account for several important features of the discrimination capacity of the mammalian olfactory system.

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Year:  2007        PMID: 17855585     DOI: 10.1152/jn.00560.2007

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  35 in total

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Review 2.  Neural computations with mammalian infochemicals.

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Review 5.  Illuminating vertebrate olfactory processing.

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6.  Sparse incomplete representations: a potential role of olfactory granule cells.

Authors:  Alexei A Koulakov; Dmitry Rinberg
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7.  Cholinergic inputs from Basal forebrain add an excitatory bias to odor coding in the olfactory bulb.

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8.  Receptor arrays optimized for natural odor statistics.

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Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-21       Impact factor: 11.205

9.  Multiple perceptible signals from a single olfactory glomerulus.

Authors:  Matthew Smear; Admir Resulaj; Jingji Zhang; Thomas Bozza; Dmitry Rinberg
Journal:  Nat Neurosci       Date:  2013-09-22       Impact factor: 24.884

10.  Frequency transitions in odor-evoked neural oscillations.

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