Literature DB >> 21632235

Insect olfactory coding and memory at multiple timescales.

Nitin Gupta1, Mark Stopfer.   

Abstract

Insects can learn, allowing them great flexibility for locating seasonal food sources and avoiding wily predators. Because insects are relatively simple and accessible to manipulation, they provide good experimental preparations for exploring mechanisms underlying sensory coding and memory. Here we review how the intertwining of memory with computation enables the coding, decoding, and storage of sensory experience at various stages of the insect olfactory system. Individual parts of this system are capable of multiplexing memories at different timescales, and conversely, memory on a given timescale can be distributed across different parts of the circuit. Our sampling of the olfactory system emphasizes the diversity of memories, and the importance of understanding these memories in the context of computations performed by different parts of a sensory system. Published by Elsevier Ltd.

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Year:  2011        PMID: 21632235      PMCID: PMC3182293          DOI: 10.1016/j.conb.2011.05.005

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  57 in total

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Review 3.  Spike timing-dependent plasticity: a Hebbian learning rule.

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Review 4.  State-dependent computations: spatiotemporal processing in cortical networks.

Authors:  Dean V Buonomano; Wolfgang Maass
Journal:  Nat Rev Neurosci       Date:  2009-01-15       Impact factor: 34.870

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Authors:  K MacLeod; G Laurent
Journal:  Science       Date:  1996-11-08       Impact factor: 47.728

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8.  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

9.  Long-term memory shapes the primary olfactory center of an insect brain.

Authors:  Benoît Hourcade; Emmanuel Perisse; Jean-Marc Devaud; Jean-Christophe Sandoz
Journal:  Learn Mem       Date:  2009-09-30       Impact factor: 2.460

10.  Fast odor learning improves reliability of odor responses in the locust antennal lobe.

Authors:  Maxim Bazhenov; Mark Stopfer; Terrence J Sejnowski; Gilles Laurent
Journal:  Neuron       Date:  2005-05-05       Impact factor: 17.173

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  5 in total

1.  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

2.  Optogenetic manipulation of medullary neurons in the locust optic lobe.

Authors:  Hongxia Wang; Richard B Dewell; Markus U Ehrengruber; Eran Segev; Jacob Reimer; Michael L Roukes; Fabrizio Gabbiani
Journal:  J Neurophysiol       Date:  2018-08-15       Impact factor: 2.714

Review 3.  Developmental experience-dependent plasticity in the first synapse of the Drosophila olfactory circuit.

Authors:  Randall M Golovin; Kendal Broadie
Journal:  J Neurophysiol       Date:  2016-09-28       Impact factor: 2.714

4.  In-situ recording of ionic currents in projection neurons and Kenyon cells in the olfactory pathway of the honeybee.

Authors:  Jan Kropf; Wolfgang Rössler
Journal:  PLoS One       Date:  2018-01-19       Impact factor: 3.240

Review 5.  Intrinsic and Extrinsic Neuromodulation of Olfactory Processing.

Authors:  Kristyn M Lizbinski; Andrew M Dacks
Journal:  Front Cell Neurosci       Date:  2018-01-09       Impact factor: 5.505

  5 in total

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