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 Dependent Plasticity (STDP). When a neuron...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2008-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC2147052?pdf=render |
id |
doaj-d0ac8071568249ecb45c7f3acccb67c1 |
---|---|
record_format |
Article |
spelling |
doaj-d0ac8071568249ecb45c7f3acccb67c12020-11-25T01:47:01ZengPublic Library of Science (PLoS)PLoS ONE1932-62032008-01-0131e137710.1371/journal.pone.0001377Spike timing dependent plasticity finds the start of repeating patterns in continuous spike trains.Timothée MasquelierRudy GuyonneauSimon J ThorpeExperimental 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 Dependent 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.http://europepmc.org/articles/PMC2147052?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Timothée Masquelier Rudy Guyonneau Simon J Thorpe |
spellingShingle |
Timothée Masquelier Rudy Guyonneau Simon J Thorpe Spike timing dependent plasticity finds the start of repeating patterns in continuous spike trains. PLoS ONE |
author_facet |
Timothée Masquelier Rudy Guyonneau Simon J Thorpe |
author_sort |
Timothée Masquelier |
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. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2008-01-01 |
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 Dependent 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. |
url |
http://europepmc.org/articles/PMC2147052?pdf=render |
work_keys_str_mv |
AT timotheemasquelier spiketimingdependentplasticityfindsthestartofrepeatingpatternsincontinuousspiketrains AT rudyguyonneau spiketimingdependentplasticityfindsthestartofrepeatingpatternsincontinuousspiketrains AT simonjthorpe spiketimingdependentplasticityfindsthestartofrepeatingpatternsincontinuousspiketrains |
_version_ |
1725016718434107392 |