Synchronization enhances synaptic efficacy through spike timing-dependent plasticity in the olfactory system

Xiaobin Lin; Philippe De Wilde

doi:10.1016/j.neucom.2009.08.003

Synchronization enhances synaptic efficacy through spike timing-dependent plasticity in the olfactory system

Xiaobin Lin, Philippe De Wilde

Research output: Contribution to journal › Article › peer-review

Abstract

Synaptic modifications are measured in biological experiments with respect to spike timings. Spike timing-dependent plasticity is the latest development in refinements of Hebbian learning. We have applied additive and multiplicative STDP synaptic learning rules to a biologically inspired olfactory network. The olfactory system recognizes odorant patterns by synchronization of mitral cells. Synchronization enhances synaptic connections between mitral cells and cortical cells. Both STDP rules exhibit unimodal weight distributions which is biologically realistic. As a result, cortical cells respond with a wider range of variability and higher firing frequency. This property has potential for the improvement of artificial odor recognition through ongoing selection of mitral cells. © 2009 Elsevier B.V. All rights reserved.

Original language	English
Pages (from-to)	381-388
Number of pages	8
Journal	Neurocomputing
Volume	73
Issue number	1-3
DOIs	https://doi.org/10.1016/j.neucom.2009.08.003
Publication status	Published - Jan 2009

Keywords

Learning
Olfaction
STDP
Synaptic efficacy
Synchronization

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10.1016/j.neucom.2009.08.003

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title = "Synchronization enhances synaptic efficacy through spike timing-dependent plasticity in the olfactory system",

abstract = "Synaptic modifications are measured in biological experiments with respect to spike timings. Spike timing-dependent plasticity is the latest development in refinements of Hebbian learning. We have applied additive and multiplicative STDP synaptic learning rules to a biologically inspired olfactory network. The olfactory system recognizes odorant patterns by synchronization of mitral cells. Synchronization enhances synaptic connections between mitral cells and cortical cells. Both STDP rules exhibit unimodal weight distributions which is biologically realistic. As a result, cortical cells respond with a wider range of variability and higher firing frequency. This property has potential for the improvement of artificial odor recognition through ongoing selection of mitral cells. {\textcopyright} 2009 Elsevier B.V. All rights reserved.",

keywords = "Learning, Olfaction, STDP, Synaptic efficacy, Synchronization",

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AB - Synaptic modifications are measured in biological experiments with respect to spike timings. Spike timing-dependent plasticity is the latest development in refinements of Hebbian learning. We have applied additive and multiplicative STDP synaptic learning rules to a biologically inspired olfactory network. The olfactory system recognizes odorant patterns by synchronization of mitral cells. Synchronization enhances synaptic connections between mitral cells and cortical cells. Both STDP rules exhibit unimodal weight distributions which is biologically realistic. As a result, cortical cells respond with a wider range of variability and higher firing frequency. This property has potential for the improvement of artificial odor recognition through ongoing selection of mitral cells. © 2009 Elsevier B.V. All rights reserved.

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KW - Olfaction

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KW - Synaptic efficacy

KW - Synchronization

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JO - Neurocomputing

JF - Neurocomputing

IS - 1-3

ER -

Synchronization enhances synaptic efficacy through spike timing-dependent plasticity in the olfactory system

Abstract

Keywords

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