Literature DB >> 19692594

Associative conditioning tunes transient dynamics of early olfactory processing.

Patricia C Fernandez1, Fernando F Locatelli, Nicole Person-Rennell, Gregory Deleo, Brian H Smith.   

Abstract

Odors evoke complex spatiotemporal responses in the insect antennal lobe (AL) and mammalian olfactory bulb. However, the behavioral relevance of spatiotemporal coding remains unclear. In the present work we combined behavioral analyses with calcium imaging of odor induced activity in the honeybee AL to evaluate the relevance of this temporal dimension in the olfactory code. We used a new way for evaluation of odor similarity of binary mixtures in behavioral studies, which involved testing whether a match of odor-sampling time is necessary between training and testing conditions for odor recognition during associative learning. Using graded changes in the similarity of the mixture ratios, we found high correlations between the behavioral generalization across those mixtures and a gradient of activation in AL output. Furthermore, short odor stimuli of 500 ms or less affected how well odors were matched with a memory template, and this time corresponded to a shift from a sampling-time-dependent to a sampling-time-independent memory. Accordingly, 375 ms corresponded to the time required for spatiotemporal AL activity patterns to reach maximal separation according to imaging studies. Finally, we compared spatiotemporal representations of binary mixtures in trained and untrained animals. AL activity was modified by conditioning to improve separation of odor representations. These data suggest that one role of reinforcement is to "tune" the AL such that relevant odors become more discriminable.

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Year:  2009        PMID: 19692594      PMCID: PMC2756734          DOI: 10.1523/JNEUROSCI.1874-09.2009

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


  78 in total

1.  Multiple sites of associative odor learning as revealed by local brain microinjections of octopamine in honeybees.

Authors:  M Hammer; R Menzel
Journal:  Learn Mem       Date:  1998 May-Jun       Impact factor: 2.460

2.  Physiological and morphological characterization of honeybee olfactory neurons combining electrophysiology, calcium imaging and confocal microscopy.

Authors:  C G Galizia; B Kimmerle
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2003-11-25       Impact factor: 1.836

3.  Olfactory bulb gamma oscillations are enhanced with task demands.

Authors:  Jennifer Beshel; Nancy Kopell; Leslie M Kay
Journal:  J Neurosci       Date:  2007-08-01       Impact factor: 6.167

4.  A computational model of the response of honey bee antennal lobe circuitry to odor mixtures: overshadowing, blocking and unblocking can arise from lateral inhibition.

Authors:  C Linster; B H Smith
Journal:  Behav Brain Res       Date:  1997-08       Impact factor: 3.332

5.  A honeybee's ability to learn, recognize, and discriminate odors depends upon odor sampling time and concentration.

Authors:  Geraldine A Wright; Michelle Carlton; Brian H Smith
Journal:  Behav Neurosci       Date:  2009-02       Impact factor: 1.912

6.  Dual olfactory pathway in the honeybee, Apis mellifera.

Authors:  Sebastian Kirschner; Christoph Johannes Kleineidam; Christina Zube; Jürgen Rybak; Bernd Grünewald; Wolfgang Rössler
Journal:  J Comp Neurol       Date:  2006-12-20       Impact factor: 3.215

7.  Olfactory memory formation and the influence of reward pathway during appetitive learning by honey bees.

Authors:  Geraldine A Wright; Julie A Mustard; Sonya M Kottcamp; Brian H Smith
Journal:  J Exp Biol       Date:  2007-11       Impact factor: 3.312

8.  Different thresholds for detection and discrimination of odors in the honey bee (Apis mellifera).

Authors:  Geraldine A Wright; Brian H Smith
Journal:  Chem Senses       Date:  2004-02       Impact factor: 3.160

9.  Multiple memory traces for olfactory reward learning in Drosophila.

Authors:  Andreas S Thum; Arnim Jenett; Kei Ito; Martin Heisenberg; Hiromu Tanimoto
Journal:  J Neurosci       Date:  2007-10-10       Impact factor: 6.167

10.  Role of GABAergic inhibition in shaping odor-evoked spatiotemporal patterns in the Drosophila antennal lobe.

Authors:  Rachel I Wilson; Gilles Laurent
Journal:  J Neurosci       Date:  2005-10-05       Impact factor: 6.709

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  55 in total

1.  Analyzing Neuronal Networks Using Discrete-Time Dynamics.

Authors:  Sungwoo Ahn; Brian H Smith; Alla Borisyuk; David Terman
Journal:  Physica D       Date:  2010-05-01       Impact factor: 2.300

Review 2.  Insect olfactory coding and memory at multiple timescales.

Authors:  Nitin Gupta; Mark Stopfer
Journal:  Curr Opin Neurobiol       Date:  2011-05-31       Impact factor: 6.627

3.  Plasticity of recurrent inhibition in the Drosophila antennal lobe.

Authors:  Indulekha P Sudhakaran; Eimear E Holohan; Sahar Osman; Veronica Rodrigues; K Vijayraghavan; Mani Ramaswami
Journal:  J Neurosci       Date:  2012-05-23       Impact factor: 6.167

4.  Long-term memory leads to synaptic reorganization in the mushroom bodies: a memory trace in the insect brain?

Authors:  Benoît Hourcade; Thomas S Muenz; Jean-Christophe Sandoz; Wolfgang Rössler; Jean-Marc Devaud
Journal:  J Neurosci       Date:  2010-05-05       Impact factor: 6.167

Review 5.  A multimodal approach for tracing lateralisation along the olfactory pathway in the honeybee through electrophysiological recordings, morpho-functional imaging, and behavioural studies.

Authors:  Albrecht Haase; Elisa Rigosi; Elisa Frasnelli; Federica Trona; Francesco Tessarolo; Claudio Vinegoni; Gianfranco Anfora; Giorgio Vallortigara; Renzo Antolini
Journal:  Eur Biophys J       Date:  2011-09-29       Impact factor: 1.733

6.  Experience-dependent tuning of early olfactory processing in the adult honey bee, Apis mellifera.

Authors:  Christopher M Jernigan; Rachael Halby; Richard C Gerkin; Irina Sinakevitch; Fernando Locatelli; Brian H Smith
Journal:  J Exp Biol       Date:  2020-01-06       Impact factor: 3.312

7.  Imaging a population code for odor identity in the Drosophila mushroom body.

Authors:  Robert A A Campbell; Kyle S Honegger; Hongtao Qin; Wanhe Li; Ebru Demir; Glenn C Turner
Journal:  J Neurosci       Date:  2013-06-19       Impact factor: 6.167

8.  A computational framework for understanding decision making through integration of basic learning rules.

Authors:  Maxim Bazhenov; Ramon Huerta; Brian H Smith
Journal:  J Neurosci       Date:  2013-03-27       Impact factor: 6.167

9.  Honeybees learn odour mixtures via a selection of key odorants.

Authors:  Judith Reinhard; Michael Sinclair; Mandyam V Srinivasan; Charles Claudianos
Journal:  PLoS One       Date:  2010-02-08       Impact factor: 3.240

10.  Searching for learning-dependent changes in the antennal lobe: simultaneous recording of neural activity and aversive olfactory learning in honeybees.

Authors:  Edith Roussel; Jean-Christophe Sandoz; Martin Giurfa
Journal:  Front Behav Neurosci       Date:  2010-09-01       Impact factor: 3.558

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