Literature DB >> 25581362

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

Priyanka Gupta1, Dinu F Albeanu2, Upinder S Bhalla3.   

Abstract

The olfactory system receives intermittent and fluctuating inputs arising from dispersion of odor plumes and active sampling by the animal. Previous work has suggested that the olfactory transduction machinery and excitatory-inhibitory olfactory bulb circuitry generate nonlinear population trajectories of neuronal activity that differ across odorants. Here we show that individual mitral/tufted (M/T) cells sum inputs linearly across odors and time. By decoupling odor sampling from respiration in anesthetized rats, we show that M/T cell responses to arbitrary odor waveforms and mixtures are well described by odor-specific impulse responses convolved with the odorant's temporal profile. The same impulse responses convolved with the respiratory airflow predict the classical respiration-locked firing of olfactory bulb neurons and several other reported response properties of M/T cells. These results show that the olfactory bulb linearly processes fluctuating odor inputs, thereby simplifying downstream decoding of stimulus identity and temporal dynamics.

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Year:  2015        PMID: 25581362     DOI: 10.1038/nn.3913

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  45 in total

1.  Olfactory pattern classification by discrete neuronal network states.

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

2.  Spiking frequency versus odorant concentration in olfactory receptor neurons.

Authors:  J P Rospars; P Lánský; P Duchamp-Viret; A Duchamp
Journal:  Biosystems       Date:  2000 Oct-Dec       Impact factor: 1.973

3.  Activity-dependent gating of lateral inhibition in the mouse olfactory bulb.

Authors:  Armen C Arevian; Vikrant Kapoor; Nathaniel N Urban
Journal:  Nat Neurosci       Date:  2007-12-16       Impact factor: 24.884

4.  Binary mixture perception is affected by concentration of odor components.

Authors:  A M McNamara; P D Magidson; C Linster
Journal:  Behav Neurosci       Date:  2007-10       Impact factor: 1.912

5.  Temporal integrity of an airborne odor stimulus is greatly affected by physical aspects of the odor delivery system.

Authors:  Richard S Vetter; Amy E Sage; Kristine A Justus; Ring T Cardé; C Giovanni Galizia
Journal:  Chem Senses       Date:  2006-03-01       Impact factor: 3.160

6.  Precision and diversity in an odor map on the olfactory bulb.

Authors:  Edward R Soucy; Dinu F Albeanu; Antoniu L Fantana; Venkatesh N Murthy; Markus Meister
Journal:  Nat Neurosci       Date:  2009-01-18       Impact factor: 24.884

7.  Intensity versus identity coding in an olfactory system.

Authors:  Mark Stopfer; Vivek Jayaraman; Gilles Laurent
Journal:  Neuron       Date:  2003-09-11       Impact factor: 17.173

8.  Olfactory bulb output cell temporal response patterns to increasing odor concentrations in freely breathing rats.

Authors:  M Chalansonnet; M A Chaput
Journal:  Chem Senses       Date:  1998-02       Impact factor: 3.160

9.  Non-redundant odor coding by sister mitral cells revealed by light addressable glomeruli in the mouse.

Authors:  Ashesh K Dhawale; Akari Hagiwara; Upinder S Bhalla; Venkatesh N Murthy; Dinu F Albeanu
Journal:  Nat Neurosci       Date:  2010-10-17       Impact factor: 24.884

10.  Intensity invariant dynamics and odor-specific latencies in olfactory receptor neuron response.

Authors:  Carlotta Martelli; John R Carlson; Thierry Emonet
Journal:  J Neurosci       Date:  2013-04-10       Impact factor: 6.167

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  19 in total

1.  Automated analysis of breathing waveforms using BreathMetrics: a respiratory signal processing toolbox.

Authors:  Torben Noto; Guangyu Zhou; Stephan Schuele; Jessica Templer; Christina Zelano
Journal:  Chem Senses       Date:  2018-09-22       Impact factor: 3.160

2.  Sniff-synchronized, gradient-guided olfactory search by freely moving mice.

Authors:  Teresa M Findley; David G Wyrick; Jennifer L Cramer; Morgan A Brown; Blake Holcomb; Robin Attey; Dorian Yeh; Eric Monasevitch; Nelly Nouboussi; Isabelle Cullen; Jeremea O Songco; Jared F King; Yashar Ahmadian; Matthew C Smear
Journal:  Elife       Date:  2021-05-04       Impact factor: 8.140

3.  State-dependent representations of mixtures by the olfactory bulb.

Authors:  Aliya Mari Adefuin; Sander Lindeman; Janine Kristin Reinert; Izumi Fukunaga
Journal:  Elife       Date:  2022-03-07       Impact factor: 8.140

4.  Inhalation Frequency Controls Reformatting of Mitral/Tufted Cell Odor Representations in the Olfactory Bulb.

Authors:  Marta Díaz-Quesada; Isaac A Youngstrom; Yusuke Tsuno; Kyle R Hansen; Michael N Economo; Matt Wachowiak
Journal:  J Neurosci       Date:  2018-01-26       Impact factor: 6.167

5.  Encoding innately recognized odors via a generalized population code.

Authors:  Qiang Qiu; Yunming Wu; Limei Ma; C Ron Yu
Journal:  Curr Biol       Date:  2021-03-01       Impact factor: 10.834

6.  What the odor is not: Estimation by elimination.

Authors:  Vijay Singh; Martin Tchernookov; Vijay Balasubramanian
Journal:  Phys Rev E       Date:  2021-08       Impact factor: 2.529

7.  Bulbar microcircuit model predicts connectivity and roles of interneurons in odor coding.

Authors:  Aditya Gilra; Upinder S Bhalla
Journal:  PLoS One       Date:  2015-05-05       Impact factor: 3.240

8.  Normalized Neural Representations of Complex Odors.

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

9.  Competing Mechanisms of Gamma and Beta Oscillations in the Olfactory Bulb Based on Multimodal Inhibition of Mitral Cells Over a Respiratory Cycle.

Authors:  François David; Emmanuelle Courtiol; Nathalie Buonviso; Nicolas Fourcaud-Trocmé
Journal:  eNeuro       Date:  2015-12-08

10.  Extracting Social Information from Chemosensory Cues: Consideration of Several Scenarios and Their Functional Implications.

Authors:  Yoram Ben-Shaul
Journal:  Front Neurosci       Date:  2015-11-20       Impact factor: 4.677

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