Literature DB >> 18304487

Dynamic ensemble odor coding in the mammalian olfactory bulb: sensory information at different timescales.

Brice Bathellier1, Derek L Buhl, Riccardo Accolla, Alan Carleton.   

Abstract

Neural firing discharges are often temporally patterned, but it is often ambiguous as to whether the temporal features of these patterns constitute a useful code. Here we show in the mouse olfactory bulb that ensembles of projection neurons respond with complex odor- and concentration-specific dynamic activity sequences developing below and above sniffing frequency. Based on this activity, almost optimal discrimination of presented odors was possible during single sniffs, consistent with reported behavioral data. Within a sniff cycle, slower features of the dynamics alone (>100 ms resolution, including mean firing rate) were sufficient for maximal discrimination. A smaller amount of information was also observed in faster features down to 20-40 ms resolution. Therefore, mitral cell ensemble activity contains information at different timescales that could be separately or complementarily exploited by downstream brain centers to make odor discriminations. Our results also support suggestive analogies in the dynamics of odor representations between insects and mammals.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18304487     DOI: 10.1016/j.neuron.2008.02.011

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  125 in total

1.  Neuronal filtering of multiplexed odour representations.

Authors:  Francisca Blumhagen; Peixin Zhu; Jennifer Shum; Yan-Ping Zhang Schärer; Emre Yaksi; Karl Deisseroth; Rainer W Friedrich
Journal:  Nature       Date:  2011-11-13       Impact factor: 49.962

2.  Olfactory pattern classification by discrete neuronal network states.

Authors:  Jörn Niessing; Rainer W Friedrich
Journal:  Nature       Date:  2010-04-14       Impact factor: 49.962

3.  Classification of odorants across layers in locust olfactory pathway.

Authors:  Pavel Sanda; Tiffany Kee; Nitin Gupta; Mark Stopfer; Maxim Bazhenov
Journal:  J Neurophysiol       Date:  2016-02-10       Impact factor: 2.714

Review 4.  Dimensionality reduction for large-scale neural recordings.

Authors:  John P Cunningham; Byron M Yu
Journal:  Nat Neurosci       Date:  2014-08-24       Impact factor: 24.884

5.  The Dentate Gyrus Classifies Cortical Representations of Learned Stimuli.

Authors:  Nicholas I Woods; Fabio Stefanini; Daniel L Apodaca-Montano; Isabelle M C Tan; Jeremy S Biane; Mazen A Kheirbek
Journal:  Neuron       Date:  2020-04-30       Impact factor: 17.173

6.  Characterization and coding of behaviorally significant odor mixtures.

Authors:  Jeffrey A Riffell; Hong Lei; Thomas A Christensen; John G Hildebrand
Journal:  Curr Biol       Date:  2009-02-24       Impact factor: 10.834

Review 7.  Plasticity in olfactory bulb circuits.

Authors:  An Wu; Bin Yu; Takaki Komiyama
Journal:  Curr Opin Neurobiol       Date:  2020-02-13       Impact factor: 6.627

8.  Balancing the Robustness and Efficiency of Odor Representations during Learning.

Authors:  Monica W Chu; Wankun L Li; Takaki Komiyama
Journal:  Neuron       Date:  2016-09-22       Impact factor: 17.173

9.  Learned odor discrimination in Drosophila without combinatorial odor maps in the antennal lobe.

Authors:  Shamik DasGupta; Scott Waddell
Journal:  Curr Biol       Date:  2008-10-23       Impact factor: 10.834

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.