Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning scheme

Recent experiments have established that information can be encoded in the spike times of neurons relative to the phase of a background oscillation in the local field potential—a phenomenon referred to as “phase-of-firing coding” (PoFC). These firing phase preferences could result from combining an...

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Detalles Bibliográficos
Autores: Masquelier, Timothée, Hugues, Etienne, Deco, Gustavo, Thorpe, Simon J.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2009
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/16657
Acceso en línea:http://hdl.handle.net/10230/16657
http://dx.doi.org/10.1523/JNEUROSCI.2207-09.2009
Access Level:acceso abierto
Palabra clave:Neurones
Xarxes neuronals (Neurobiologia)
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spelling Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning schemeMasquelier, TimothéeHugues, EtienneDeco, GustavoThorpe, Simon J.NeuronesXarxes neuronals (Neurobiologia)Recent experiments have established that information can be encoded in the spike times of neurons relative to the phase of a background oscillation in the local field potential—a phenomenon referred to as “phase-of-firing coding” (PoFC). These firing phase preferences could result from combining an oscillation in the input current with a stimulus-dependent static component that would produce the variations in preferred phase, but it remains unclear whether these phases are an epiphenomenon or really affect neuronal interactions—only then could they have a functional role. Here we show that PoFC has a major impact on downstream learning and decoding with the now well established spike timing-dependent plasticity (STDP). To be precise, we demonstrate with simulations how a single neuron equipped with STDP robustly detects a pattern of input currents automatically encoded in the phases of a subset of its afferents, and repeating at random intervals. Remarkably, learning is possible even when only a small fraction of the afferents (10%) exhibits PoFC. The ability of STDP to detect repeating patterns had been noted before in continuous activity, but it turns out that oscillations greatly facilitate learning. A benchmark with more conventional rate-based codes demonstrates the superiority of oscillations and PoFC for both STDP-based learning and the speed of decoding: the oscillation partially formats the input spike times, so that they mainly depend on the current input currents, and can be efficiently learned by STDP and then recognized in just one oscillation cycle. This suggests a major functional role for oscillatory brain activity that has been widely reported experimentally.Society for Neuroscience201220122009info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/16657http://dx.doi.org/10.1523/JNEUROSCI.2207-09.2009reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésJ. Neurosci. 2009;29(43):13484-93© 2009, Society for Neuroscience. The published version is available at: http://www.jneurosci.org/content/29/43/13484info:eu-repo/semantics/openAccessoai:recercat.cat:10230/166572026-05-29T05:05:01Z
dc.title.none.fl_str_mv Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning scheme
title Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning scheme
spellingShingle Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning scheme
Masquelier, Timothée
Neurones
Xarxes neuronals (Neurobiologia)
title_short Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning scheme
title_full Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning scheme
title_fullStr Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning scheme
title_full_unstemmed Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning scheme
title_sort Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning scheme
dc.creator.none.fl_str_mv Masquelier, Timothée
Hugues, Etienne
Deco, Gustavo
Thorpe, Simon J.
author Masquelier, Timothée
author_facet Masquelier, Timothée
Hugues, Etienne
Deco, Gustavo
Thorpe, Simon J.
author_role author
author2 Hugues, Etienne
Deco, Gustavo
Thorpe, Simon J.
author2_role author
author
author
dc.subject.none.fl_str_mv Neurones
Xarxes neuronals (Neurobiologia)
topic Neurones
Xarxes neuronals (Neurobiologia)
description Recent experiments have established that information can be encoded in the spike times of neurons relative to the phase of a background oscillation in the local field potential—a phenomenon referred to as “phase-of-firing coding” (PoFC). These firing phase preferences could result from combining an oscillation in the input current with a stimulus-dependent static component that would produce the variations in preferred phase, but it remains unclear whether these phases are an epiphenomenon or really affect neuronal interactions—only then could they have a functional role. Here we show that PoFC has a major impact on downstream learning and decoding with the now well established spike timing-dependent plasticity (STDP). To be precise, we demonstrate with simulations how a single neuron equipped with STDP robustly detects a pattern of input currents automatically encoded in the phases of a subset of its afferents, and repeating at random intervals. Remarkably, learning is possible even when only a small fraction of the afferents (10%) exhibits PoFC. The ability of STDP to detect repeating patterns had been noted before in continuous activity, but it turns out that oscillations greatly facilitate learning. A benchmark with more conventional rate-based codes demonstrates the superiority of oscillations and PoFC for both STDP-based learning and the speed of decoding: the oscillation partially formats the input spike times, so that they mainly depend on the current input currents, and can be efficiently learned by STDP and then recognized in just one oscillation cycle. This suggests a major functional role for oscillatory brain activity that has been widely reported experimentally.
publishDate 2009
dc.date.none.fl_str_mv 2009
2012
2012
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/16657
http://dx.doi.org/10.1523/JNEUROSCI.2207-09.2009
url http://hdl.handle.net/10230/16657
http://dx.doi.org/10.1523/JNEUROSCI.2207-09.2009
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv J. Neurosci. 2009;29(43):13484-93
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Society for Neuroscience
publisher.none.fl_str_mv Society for Neuroscience
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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