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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2016-03-01
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| Series: | PLoS Computational Biology |
| Online Access: | http://europepmc.org/articles/PMC4777380?pdf=render |
| _version_ | 1818024334877261824 |
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| author | Baktash Babadi L F Abbott |
| author_facet | Baktash Babadi L F Abbott |
| author_sort | Baktash Babadi |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-10T03:58:34Z |
| format | Article |
| id | doaj.art-fa83167318d147c990428c8a19f1ada2 |
| institution | Directory Open Access Journal |
| issn | 1553-734X 1553-7358 |
| language | English |
| last_indexed | 2024-12-10T03:58:34Z |
| publishDate | 2016-03-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj.art-fa83167318d147c990428c8a19f1ada22022-12-22T02:03:03ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582016-03-01123e100475010.1371/journal.pcbi.1004750Stability and Competition in Multi-spike Models of Spike-Timing Dependent Plasticity.Baktash BabadiL F AbbottSpike-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.http://europepmc.org/articles/PMC4777380?pdf=render |
| spellingShingle | Baktash Babadi L F Abbott Stability and Competition in Multi-spike Models of Spike-Timing Dependent Plasticity. PLoS Computational Biology |
| 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 |
| url | http://europepmc.org/articles/PMC4777380?pdf=render |
| work_keys_str_mv | AT baktashbabadi stabilityandcompetitioninmultispikemodelsofspiketimingdependentplasticity AT lfabbott stabilityandcompetitioninmultispikemodelsofspiketimingdependentplasticity |