Literature DB >> 27247407

A statistical property of fly odor responses is conserved across odors.

Charles F Stevens1.   

Abstract

I have reanalyzed the data presented by Hallem and Carlson [Hallem EA, Carlson JR (2006) Cell 125(1):143-160] and shown that the combinatorial odor code supplied by the fruit fly antenna is a very simple one in which nearly all odors produce, statistically, the same neuronal response; i.e., the probability distribution of sensory neuron firing rates across the population of odorant sensory neurons is an exponential for nearly all odors and odor mixtures, with the mean rate dependent on the odor concentration. Between odors, then, the response differs according to which sensory neurons are firing at what individual rates and with what mean population rate, but not in the probability distribution of firing rates. This conclusion is independent of adjustable parameters, and holds both for monomolecular odors and complex mixtures. Because the circuitry in the antennal lobe constrains the mean firing rate to be the same for all odors and concentrations, the odor code is what is known as maximum entropy.

Entities:  

Keywords:  fly; odor code; olfaction; theory

Mesh:

Year:  2016        PMID: 27247407      PMCID: PMC4914196          DOI: 10.1073/pnas.1606339113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  20 in total

Review 1.  Olfactory systems: common design, uncommon origins?

Authors:  N J Strausfeld; J G Hildebrand
Journal:  Curr Opin Neurobiol       Date:  1999-10       Impact factor: 6.627

2.  Combinatorial receptor codes for odors.

Authors:  B Malnic; J Hirono; T Sato; L B Buck
Journal:  Cell       Date:  1999-03-05       Impact factor: 41.582

3.  The molecular basis of odor coding in the Drosophila antenna.

Authors:  Elissa A Hallem; Michael G Ho; John R Carlson
Journal:  Cell       Date:  2004-06-25       Impact factor: 41.582

4.  Molecular, anatomical, and functional organization of the Drosophila olfactory system.

Authors:  Africa Couto; Mattias Alenius; Barry J Dickson
Journal:  Curr Biol       Date:  2005-09-06       Impact factor: 10.834

5.  Divisive normalization in olfactory population codes.

Authors:  Shawn R Olsen; Vikas Bhandawat; Rachel I Wilson
Journal:  Neuron       Date:  2010-04-29       Impact factor: 17.173

6.  A single population of olfactory sensory neurons mediates an innate avoidance behaviour in Drosophila.

Authors:  Greg S B Suh; Allan M Wong; Anne C Hergarden; Jing W Wang; Anne F Simon; Seymour Benzer; Richard Axel; David J Anderson
Journal:  Nature       Date:  2004-09-15       Impact factor: 49.962

7.  Complementary function and integrated wiring of the evolutionarily distinct Drosophila olfactory subsystems.

Authors:  Ana F Silbering; Raphael Rytz; Yael Grosjean; Liliane Abuin; Pavan Ramdya; Gregory S X E Jefferis; Richard Benton
Journal:  J Neurosci       Date:  2011-09-21       Impact factor: 6.167

8.  The banana code-natural blend processing in the olfactory circuitry of Drosophila melanogaster.

Authors:  Marco Schubert; Bill S Hansson; Silke Sachse
Journal:  Front Physiol       Date:  2014-02-20       Impact factor: 4.566

9.  A circuit supporting concentration-invariant odor perception in Drosophila.

Authors:  Kenta Asahina; Matthieu Louis; Silvia Piccinotti; Leslie B Vosshall
Journal:  J Biol       Date:  2009-01-26

10.  Variant ionotropic glutamate receptors as chemosensory receptors in Drosophila.

Authors:  Richard Benton; Kirsten S Vannice; Carolina Gomez-Diaz; Leslie B Vosshall
Journal:  Cell       Date:  2009-01-09       Impact factor: 41.582

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  6 in total

1.  Antagonism in olfactory receptor neurons and its implications for the perception of odor mixtures.

Authors:  Gautam Reddy; Joseph D Zak; Massimo Vergassola; Venkatesh N Murthy
Journal:  Elife       Date:  2018-04-24       Impact factor: 8.140

2.  Structured Odorant Response Patterns across a Complete Olfactory Receptor Neuron Population.

Authors:  Guangwei Si; Jessleen K Kanwal; Yu Hu; Christopher J Tabone; Jacob Baron; Matthew Berck; Gaetan Vignoud; Aravinthan D T Samuel
Journal:  Neuron       Date:  2019-01-22       Impact factor: 17.173

3.  Normalized Neural Representations of Complex Odors.

Authors:  David Zwicker
Journal:  PLoS One       Date:  2016-11-11       Impact factor: 3.240

4.  Functional diversity among sensory neurons from efficient coding principles.

Authors:  Julijana Gjorgjieva; Markus Meister; Haim Sompolinsky
Journal:  PLoS Comput Biol       Date:  2019-11-14       Impact factor: 4.475

5.  Where are the cores in this thing? …and what are they computing? (with apologies to Larry Abbott).

Authors:  Daniel Gardner
Journal:  J Comput Neurosci       Date:  2022-02-04       Impact factor: 1.453

6.  A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks.

Authors:  Yang Shen; Julia Wang; Saket Navlakha
Journal:  Neural Comput       Date:  2021-11-12       Impact factor: 2.026

  6 in total

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