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Stability and Competition in Multi-spike Models of Spike-Timing Dependent Plasticity
Spike-timing dependent plasticity (STDP) is a widespread plasticity mechanism in the nervous system. The simplest description of STDP only takes into account pairs of pre- and postsynaptic spikes, with potentiation of the synapse when a presynaptic spike precedes a postsynaptic spike and depression...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4777380/ https://www.ncbi.nlm.nih.gov/pubmed/26939080 http://dx.doi.org/10.1371/journal.pcbi.1004750 |
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author | Babadi, Baktash Abbott, L. F. |
author_facet | Babadi, Baktash Abbott, L. F. |
author_sort | Babadi, Baktash |
collection | PubMed |
description | Spike-timing dependent plasticity (STDP) is a widespread plasticity mechanism in the nervous system. The simplest description of STDP only takes into account pairs of pre- and postsynaptic spikes, with potentiation of the synapse when a presynaptic spike precedes a postsynaptic spike and depression otherwise. In light of experiments that explored a variety of spike patterns, the pair-based STDP model has been augmented to account for multiple pre- and postsynaptic spike interactions. As a result, a number of different “multi-spike” STDP models have been proposed based on different experimental observations. The behavior of these models at the population level is crucial for understanding mechanisms of learning and memory. The challenging balance between the stability of a population of synapses and their competitive modification is well studied for pair-based models, but it has not yet been fully analyzed for multi-spike models. Here, we address this issue through numerical simulations of an integrate-and-fire model neuron with excitatory synapses subject to STDP described by three different proposed multi-spike models. We also analytically calculate average synaptic changes and fluctuations about these averages. Our results indicate that the different multi-spike models behave quite differently at the population level. Although each model can produce synaptic competition in certain parameter regions, none of them induces synaptic competition with its originally fitted parameters. The dichotomy between synaptic stability and Hebbian competition, which is well characterized for pair-based STDP models, persists in multi-spike models. However, anti-Hebbian competition can coexist with synaptic stability in some models. We propose that the collective behavior of synaptic plasticity models at the population level should be used as an additional guideline in applying phenomenological models based on observations of single synapses. |
format | Online Article Text |
id | pubmed-4777380 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47773802016-03-10 Stability and Competition in Multi-spike Models of Spike-Timing Dependent Plasticity Babadi, Baktash Abbott, L. F. PLoS Comput Biol Research Article Spike-timing dependent plasticity (STDP) is a widespread plasticity mechanism in the nervous system. The simplest description of STDP only takes into account pairs of pre- and postsynaptic spikes, with potentiation of the synapse when a presynaptic spike precedes a postsynaptic spike and depression otherwise. In light of experiments that explored a variety of spike patterns, the pair-based STDP model has been augmented to account for multiple pre- and postsynaptic spike interactions. As a result, a number of different “multi-spike” STDP models have been proposed based on different experimental observations. The behavior of these models at the population level is crucial for understanding mechanisms of learning and memory. The challenging balance between the stability of a population of synapses and their competitive modification is well studied for pair-based models, but it has not yet been fully analyzed for multi-spike models. Here, we address this issue through numerical simulations of an integrate-and-fire model neuron with excitatory synapses subject to STDP described by three different proposed multi-spike models. We also analytically calculate average synaptic changes and fluctuations about these averages. Our results indicate that the different multi-spike models behave quite differently at the population level. Although each model can produce synaptic competition in certain parameter regions, none of them induces synaptic competition with its originally fitted parameters. The dichotomy between synaptic stability and Hebbian competition, which is well characterized for pair-based STDP models, persists in multi-spike models. However, anti-Hebbian competition can coexist with synaptic stability in some models. We propose that the collective behavior of synaptic plasticity models at the population level should be used as an additional guideline in applying phenomenological models based on observations of single synapses. Public Library of Science 2016-03-03 /pmc/articles/PMC4777380/ /pubmed/26939080 http://dx.doi.org/10.1371/journal.pcbi.1004750 Text en © 2016 Babadi, Abbott http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Babadi, Baktash Abbott, L. F. Stability and Competition in Multi-spike Models of Spike-Timing Dependent Plasticity |
title | Stability and Competition in Multi-spike Models of Spike-Timing Dependent Plasticity |
title_full | Stability and Competition in Multi-spike Models of Spike-Timing Dependent Plasticity |
title_fullStr | Stability and Competition in Multi-spike Models of Spike-Timing Dependent Plasticity |
title_full_unstemmed | Stability and Competition in Multi-spike Models of Spike-Timing Dependent Plasticity |
title_short | Stability and Competition in Multi-spike Models of Spike-Timing Dependent Plasticity |
title_sort | stability and competition in multi-spike models of spike-timing dependent plasticity |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4777380/ https://www.ncbi.nlm.nih.gov/pubmed/26939080 http://dx.doi.org/10.1371/journal.pcbi.1004750 |
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