Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains

Experimental studies have observed Long Term synaptic Potentiation (LTP) when a presynaptic neuron fires shortly before a postsynaptic neuron, and Long Term Depression (LTD) when the presynaptic neuron fires shortly after, a phenomenon known as Spike Timing Dependant Plasticity (STDP). When a neuron...

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Main Authors:	Masquelier, Timothée, Guyonneau, Rudy, Thorpe, Simon J.
Format:	Online
Language:	English
Published:	Public Library of Science 2008
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2147052/

id	pubmed-2147052
recordtype	oai_dc
spelling	pubmed-21470522008-01-02 Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains Masquelier, Timothée Guyonneau, Rudy Thorpe, Simon J. Research Article Experimental studies have observed Long Term synaptic Potentiation (LTP) when a presynaptic neuron fires shortly before a postsynaptic neuron, and Long Term Depression (LTD) when the presynaptic neuron fires shortly after, a phenomenon known as Spike Timing Dependant Plasticity (STDP). When a neuron is presented successively with discrete volleys of input spikes STDP has been shown to learn ‘early spike patterns’, that is to concentrate synaptic weights on afferents that consistently fire early, with the result that the postsynaptic spike latency decreases, until it reaches a minimal and stable value. Here, we show that these results still stand in a continuous regime where afferents fire continuously with a constant population rate. As such, STDP is able to solve a very difficult computational problem: to localize a repeating spatio-temporal spike pattern embedded in equally dense ‘distractor’ spike trains. STDP thus enables some form of temporal coding, even in the absence of an explicit time reference. Given that the mechanism exposed here is simple and cheap it is hard to believe that the brain did not evolve to use it. Public Library of Science 2008-01-02 /pmc/articles/PMC2147052/ /pubmed/18167538 http://dx.doi.org/10.1371/journal.pone.0001377 Text en Masquelier et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Masquelier, Timothée Guyonneau, Rudy Thorpe, Simon J.
spellingShingle	Masquelier, Timothée Guyonneau, Rudy Thorpe, Simon J. Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains
author_facet	Masquelier, Timothée Guyonneau, Rudy Thorpe, Simon J.
author_sort	Masquelier, Timothée
title	Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains
title_short	Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains
title_full	Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains
title_fullStr	Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains
title_full_unstemmed	Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains
title_sort	spike timing dependent plasticity finds the start of repeating patterns in continuous spike trains
description	Experimental studies have observed Long Term synaptic Potentiation (LTP) when a presynaptic neuron fires shortly before a postsynaptic neuron, and Long Term Depression (LTD) when the presynaptic neuron fires shortly after, a phenomenon known as Spike Timing Dependant Plasticity (STDP). When a neuron is presented successively with discrete volleys of input spikes STDP has been shown to learn ‘early spike patterns’, that is to concentrate synaptic weights on afferents that consistently fire early, with the result that the postsynaptic spike latency decreases, until it reaches a minimal and stable value. Here, we show that these results still stand in a continuous regime where afferents fire continuously with a constant population rate. As such, STDP is able to solve a very difficult computational problem: to localize a repeating spatio-temporal spike pattern embedded in equally dense ‘distractor’ spike trains. STDP thus enables some form of temporal coding, even in the absence of an explicit time reference. Given that the mechanism exposed here is simple and cheap it is hard to believe that the brain did not evolve to use it.
publisher	Public Library of Science
publishDate	2008
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2147052/
_version_	1611423154864914432

Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains

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