Literature DB >> 12668289

Olfactory coding in the mammalian olfactory bulb.

Michael Leon1, Brett A Johnson.   

Abstract

There have been a number of recent approaches to the study of olfactory coding, each of which has its advantages and disadvantages. In the present review, we discuss our own work on this topic, which has involved mapping uptake of [14C]2-deoxyglucose across the entire glomerular layer of the rat main olfactory bulb in response to systematically selected pure odorant molecules. Our strategy to understand the olfactory code has involved four approaches. In the first, we determined whether the system encodes odorants in their entirety, or whether it encodes odorants by representing combinations of molecular features that add together to comprise a neural picture of each odorant. Multiple odorant features appeared to be coded by multiple receptors. Our second strategy examined the ways that such features are represented. We stimulated rats with odorants that differed greatly in their molecular structure to be able to identify a set of odorant feature response domains. Our third approach asked how odorants with very small differences in molecular structure are coded, and we found systematic differences in the representation of such features within response domains. Finally, we were able to predict odor perception from the neural representations of odorants that differed in only a single aspect of their structure. Using these strategies, we have been able to learn some of the rules by which the olfactory code operates. These rules have allowed us to predict where previously unmapped molecules would be represented and how differences in molecular representations affect olfactory perceptions.

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Year:  2003        PMID: 12668289     DOI: 10.1016/s0165-0173(03)00142-5

Source DB:  PubMed          Journal:  Brain Res Brain Res Rev


  57 in total

1.  Configurational and elemental odor mixture perception can arise from local inhibition.

Authors:  Christiane Linster; Thomas A Cleland
Journal:  J Comput Neurosci       Date:  2004 Jan-Feb       Impact factor: 1.621

2.  Representation of binary pheromone blends by glomerulus-specific olfactory projection neurons.

Authors:  T Heinbockel; T A Christensen; J G Hildebrand
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2004-09-17       Impact factor: 1.836

3.  Cluster analysis of rat olfactory bulb responses to diverse odorants.

Authors:  Matteo Falasconi; Agustin Gutierrez-Galvez; Michael Leon; Brett A Johnson; Santiago Marco
Journal:  Chem Senses       Date:  2012-03-29       Impact factor: 3.160

4.  Olfactory-mediated fear conditioning in mice: simultaneous measurements of fear-potentiated startle and freezing.

Authors:  Seth V Jones; Scott A Heldt; Michael Davis; Kerry J Ressler
Journal:  Behav Neurosci       Date:  2005-02       Impact factor: 1.912

5.  Olfactory cortical adaptation facilitates detection of odors against background.

Authors:  Mikiko Kadohisa; Donald A Wilson
Journal:  J Neurophysiol       Date:  2005-10-26       Impact factor: 2.714

6.  High-frequency oscillations are not necessary for simple olfactory discriminations in young rats.

Authors:  Max L Fletcher; Abigail M Smith; Aaron R Best; Donald A Wilson
Journal:  J Neurosci       Date:  2005-01-26       Impact factor: 6.167

Review 7.  Sniffing and spatiotemporal coding in olfaction.

Authors:  John W Scott
Journal:  Chem Senses       Date:  2005-12-14       Impact factor: 3.160

8.  Multiple learning parameters differentially regulate olfactory generalization.

Authors:  Thomas A Cleland; Venkata Anupama Narla; Karim Boudadi
Journal:  Behav Neurosci       Date:  2009-02       Impact factor: 1.912

9.  Broad activation of the glomerular layer enhances subsequent olfactory responses.

Authors:  Cynthia C Woo; Edna E Hingco; Brett A Johnson; Michael Leon
Journal:  Chem Senses       Date:  2006-10-27       Impact factor: 3.160

10.  Rapid odor perception in rat olfactory bulb by microelectrode array.

Authors:  Jun Zhou; Qi Dong; Liu-jing Zhuang; Rong Li; Ping Wang
Journal:  J Zhejiang Univ Sci B       Date:  2012-12       Impact factor: 3.066

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