Literature DB >> 23554487

Millisecond stimulus onset-asynchrony enhances information about components in an odor mixture.

Jacob S Stierle1, C Giovanni Galizia, Paul Szyszka.   

Abstract

Airborne odorants rarely occur as pure, isolated stimuli. In a natural environment, odorants that intermingle from multiple sources create mixtures in which the onset and offset of odor components are asynchronous. Odor mixtures are known to elicit interactions in both behavioral and physiological responses, changing the perceptive quality of mixtures compared with the components. However, relevant odors need to be segregated from a distractive background. Honeybees (Apis mellifera) can use stimulus onset asynchrony of as little as 6 ms to segregate learned odor components within a mixture. Using in vivo calcium imaging of projection neurons in the honeybee, we studied neuronal mechanisms of odor-background segregation based on stimulus onset asynchrony in the antennal lobe. We found that asynchronous mixtures elicit response patterns that are different from their synchronous counterpart: the responses to asynchronous mixtures contain more information about the constituent components. With longer onset shifts, more features of the components were present in the mixture response patterns. Moreover, we found that the processing of asynchronous mixtures activated more inhibitory interactions than the processing of synchronous mixtures. This study provides evidence of neuronal mechanisms that underlie odor-object segregation on a timescale much faster than found for mammals.

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Year:  2013        PMID: 23554487      PMCID: PMC6618935          DOI: 10.1523/JNEUROSCI.5838-12.2013

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  13 in total

1.  High-speed odor transduction and pulse tracking by insect olfactory receptor neurons.

Authors:  Paul Szyszka; Richard C Gerkin; C Giovanni Galizia; Brian H Smith
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-10       Impact factor: 11.205

2.  Controlling and measuring dynamic odorant stimuli in the laboratory.

Authors:  Srinivas Gorur-Shandilya; Carlotta Martelli; Mahmut Demir; Thierry Emonet
Journal:  J Exp Biol       Date:  2019-11-29       Impact factor: 3.312

3.  Active sensing in a dynamic olfactory world.

Authors:  John Crimaldi; Hong Lei; Andreas Schaefer; Michael Schmuker; Brian H Smith; Aaron C True; Justus V Verhagen; Jonathan D Victor
Journal:  J Comput Neurosci       Date:  2021-09-30       Impact factor: 1.621

4.  Fast odour dynamics are encoded in the olfactory system and guide behaviour.

Authors:  Tobias Ackels; Andrew Erskine; Debanjan Dasgupta; Alina Cristina Marin; Tom P A Warner; Sina Tootoonian; Izumi Fukunaga; Julia J Harris; Andreas T Schaefer
Journal:  Nature       Date:  2021-05-05       Impact factor: 49.962

5.  DNA methylation mediates neural processing after odor learning in the honeybee.

Authors:  Stephanie D Biergans; Charles Claudianos; Judith Reinhard; C Giovanni Galizia
Journal:  Sci Rep       Date:  2017-02-27       Impact factor: 4.379

6.  Olfactory Object Recognition Based on Fine-Scale Stimulus Timing in Drosophila.

Authors:  Aarti Sehdev; Yunusa G Mohammed; Tilman Triphan; Paul Szyszka
Journal:  iScience       Date:  2019-02-18

7.  Carbon dioxide and fruit odor transduction in Drosophila olfactory neurons. What controls their dynamic properties?

Authors:  Andrew S French; Shannon Meisner; Chih-Ying Su; Päivi H Torkkeli
Journal:  PLoS One       Date:  2014-01-21       Impact factor: 3.240

8.  Simultaneous long-term recordings at two neuronal processing stages in behaving honeybees.

Authors:  Martin Fritz Brill; Maren Reuter; Wolfgang Rössler; Martin Fritz Strube-Bloss
Journal:  J Vis Exp       Date:  2014-07-21       Impact factor: 1.355

Review 9.  Olfactory coding in the insect brain: data and conjectures.

Authors:  C Giovanni Galizia
Journal:  Eur J Neurosci       Date:  2014-04-03       Impact factor: 3.386

Review 10.  Neuroethology of Olfactory-Guided Behavior and Its Potential Application in the Control of Harmful Insects.

Authors:  Carolina E Reisenman; Hong Lei; Pablo G Guerenstein
Journal:  Front Physiol       Date:  2016-06-30       Impact factor: 4.566

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