Literature DB >> 12163534

Mitral cell temporal response patterns evoked by odor mixtures in the rat olfactory bulb.

Pascale Giraudet1, Frédéric Berthommier, Michel Chaput.   

Abstract

Mammals generally have the ability to extract odor information contained in complex mixtures of molecular components. However, odor mixture processing has been studied electrophysiologically only in insects, crustaceans, and fish. As a first step toward a better understanding of this processing in high vertebrates, we studied the representation of odor mixtures in the rat olfactory bulb, i.e., the second-order level of the olfactory pathways. We compared the single-unit responses of mitral cells, the main cells of the olfactory bulb, to pure odors and to their binary mixtures. Eighty-six mitral cells were recorded in anesthetized freely breathing rats stimulated with five odorants and their 10 binary mixtures. The spontaneous activity and the odor-evoked responses were characterized by their temporal distribution of activity along the respiratory cycle, i.e., by cycle-triggered histograms. Ninety percent of the mixtures were found to evoke a response when at least one of their two components evoked a response. Mixture-evoked patterns were analyzed to describe the modalities of the combination of patterns evoked by the two components. In most of the cases, the mixture pattern was closely similar to one of the component patterns. This dominance of a component over the other one was related to the responsiveness of the cell to the individual components of the mixture, to the molecular nature of the stimulus, and to the coarse shape of individual response patterns. This suggests that the components of binary mixtures may be encoded simultaneously by different odor-specific temporal distributions of activity.

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Year:  2002        PMID: 12163534     DOI: 10.1152/jn.2002.88.2.829

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


  25 in total

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4.  Learning modifies odor mixture processing to improve detection of relevant components.

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5.  Olfactory bulb coding of odors, mixtures and sniffs is a linear sum of odor time profiles.

Authors:  Priyanka Gupta; Dinu F Albeanu; Upinder S Bhalla
Journal:  Nat Neurosci       Date:  2015-01-12       Impact factor: 24.884

6.  Divisive normalization in olfactory population codes.

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7.  Temporal Response Properties of Accessory Olfactory Bulb Neurons: Limitations and Opportunities for Decoding.

Authors:  Michal Yoles-Frenkel; Anat Kahan; Yoram Ben-Shaul
Journal:  J Neurosci       Date:  2018-04-30       Impact factor: 6.167

8.  Temporally diverse firing patterns in olfactory receptor neurons underlie spatiotemporal neural codes for odors.

Authors:  Baranidharan Raman; Joby Joseph; Jeff Tang; Mark Stopfer
Journal:  J Neurosci       Date:  2010-02-10       Impact factor: 6.167

9.  Encoding of mixtures in a simple olfactory system.

Authors:  Kai Shen; Sina Tootoonian; Gilles Laurent
Journal:  Neuron       Date:  2013-11-07       Impact factor: 17.173

10.  Associative conditioning tunes transient dynamics of early olfactory processing.

Authors:  Patricia C Fernandez; Fernando F Locatelli; Nicole Person-Rennell; Gregory Deleo; Brian H Smith
Journal:  J Neurosci       Date:  2009-08-19       Impact factor: 6.167

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