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PMID: 10966623 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Competitive Hebbian learning through spike-timing-dependent synaptic plasticity.

Nature neuroscience ·Vol. 3 ·No. 9 ·2000-09-00 ·Pages 919-26

Song S, Miller KD, Abbott LF

Abstract

Hebbian models of development and learning require both activity-dependent synaptic plasticity and a mechanism that induces competition between different synapses. One form of experimentally observed long-term synaptic plasticity, which we call spike-timing-dependent plasticity (STDP), depends on the relative timing of pre- and postsynaptic action potentials. In modeling studies, we find that this form of synaptic modification can automatically balance synaptic strengths to make postsynaptic firing irregular but more sensitive to presynaptic spike timing. It has been argued that neurons in vivo operate in such a balanced regime. Synapses modifiable by STDP compete for control of the timing of postsynaptic action potentials. Inputs that fire the postsynaptic neuron with short latency or that act in correlated groups are able to compete most successfully and develop strong synapses, while synapses of longer-latency or less-effective inputs are weakened.

MeSH Terms
Action Potentials/physiology Animals Brain/cytology,physiology Humans Learning/physiology Models, Neurological Neuronal Plasticity/physiology Neurons/cytology,physiology Reaction Time/physiology Synapses/physiology Time Factors
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Song S
Volen Center for Complex Systems and Department of Biology, Brandeis University, Waltham, Massachusetts 02254-9110, USA.
Miller K D
Abbott L F
Article Info
Journal
Nature neuroscience
Abbr.
Nat Neurosci
ISSN
1097-6256
Published
2000-09-00
Pages
919-26
Language
English
Region
United States
NLM ID
9809671
Subset
IM
Grants
NIMH NIH HHS · MH58754 · United States
NEI NIH HHS · R01-EY11001 · United States
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