Pairwise analysis can account for network structures arising from spike-timing dependent plasticity.
Spike timing-dependent plasticity (STDP) modifies synaptic strengths based on timing information available locally at each synapse. Despite this, it induces global structures within a recurrently connected network. We study such structures both through simulations and by analyzing the effects of STD...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2013-01-01
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| Series: | PLoS Computational Biology |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23436986/?tool=EBI |
| _version_ | 1818402289663082496 |
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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) modifies synaptic strengths based on timing information available locally at each synapse. Despite this, it induces global structures within a recurrently connected network. We study such structures both through simulations and by analyzing the effects of STDP on pair-wise interactions of neurons. We show how conventional STDP acts as a loop-eliminating mechanism and organizes neurons into in- and out-hubs. Loop-elimination increases when depression dominates and turns into loop-generation when potentiation dominates. STDP with a shifted temporal window such that coincident spikes cause depression enhances recurrent connections and functions as a strict buffering mechanism that maintains a roughly constant average firing rate. STDP with the opposite temporal shift functions as a loop eliminator at low rates and as a potent loop generator at higher rates. In general, studying pairwise interactions of neurons provides important insights about the structures that STDP can produce in large networks. |
| first_indexed | 2024-12-14T08:06:00Z |
| format | Article |
| id | doaj.art-41327ba17b21465d8a3238d165414f6d |
| institution | Directory Open Access Journal |
| issn | 1553-734X 1553-7358 |
| language | English |
| last_indexed | 2024-12-14T08:06:00Z |
| publishDate | 2013-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj.art-41327ba17b21465d8a3238d165414f6d2022-12-21T23:10:11ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582013-01-0192e100290610.1371/journal.pcbi.1002906Pairwise analysis can account for network structures arising from spike-timing dependent plasticity.Baktash BabadiL F AbbottSpike timing-dependent plasticity (STDP) modifies synaptic strengths based on timing information available locally at each synapse. Despite this, it induces global structures within a recurrently connected network. We study such structures both through simulations and by analyzing the effects of STDP on pair-wise interactions of neurons. We show how conventional STDP acts as a loop-eliminating mechanism and organizes neurons into in- and out-hubs. Loop-elimination increases when depression dominates and turns into loop-generation when potentiation dominates. STDP with a shifted temporal window such that coincident spikes cause depression enhances recurrent connections and functions as a strict buffering mechanism that maintains a roughly constant average firing rate. STDP with the opposite temporal shift functions as a loop eliminator at low rates and as a potent loop generator at higher rates. In general, studying pairwise interactions of neurons provides important insights about the structures that STDP can produce in large networks.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23436986/?tool=EBI |
| spellingShingle | Baktash Babadi L F Abbott Pairwise analysis can account for network structures arising from spike-timing dependent plasticity. PLoS Computational Biology |
| title | Pairwise analysis can account for network structures arising from spike-timing dependent plasticity. |
| title_full | Pairwise analysis can account for network structures arising from spike-timing dependent plasticity. |
| title_fullStr | Pairwise analysis can account for network structures arising from spike-timing dependent plasticity. |
| title_full_unstemmed | Pairwise analysis can account for network structures arising from spike-timing dependent plasticity. |
| title_short | Pairwise analysis can account for network structures arising from spike-timing dependent plasticity. |
| title_sort | pairwise analysis can account for network structures arising from spike timing dependent plasticity |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23436986/?tool=EBI |
| work_keys_str_mv | AT baktashbabadi pairwiseanalysiscanaccountfornetworkstructuresarisingfromspiketimingdependentplasticity AT lfabbott pairwiseanalysiscanaccountfornetworkstructuresarisingfromspiketimingdependentplasticity |