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Cited by 1,071Neuroscience and Neuropharmacology ResearchNeural dynamics and brain functionMemory and Neural Mechanisms

The Spike-Timing Dependence of Plasticity

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Feldman, Daniel E.·2012·Neuron
DOI 10.1016/j.neuron.2012.08.001PMC PMC3431193
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Abstract

In spike-timing-dependent plasticity (STDP), the order and precise temporal interval between presynaptic and postsynaptic spikes determine the sign and magnitude of long-term potentiation (LTP) or depression (LTD). STDP is widely utilized in models of circuit-level plasticity, development, and learning. However, spike timing is just one of several factors (including firing rate, synaptic cooperativity, and depolarization) that govern plasticity induction, and its relative importance varies across synapses and activity regimes. This review summarizes this broader view of plasticity, including the forms and cellular mechanisms for the spike-timing dependence of plasticity, and, the evidence that spike timing is an important determinant of plasticity in vivo.

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  • An assembly of time-locked inputs would consolidate information processing by inducing spike-timing-dependent plasticity between optimally myelinated axons and their postsynaptic neurons, or in the local cortical circuit.

    “An assembly of time‐locked inputs would consolidate information processing by inducing spike‐timing‐dependent plasticity (STDP) between optimally myelinated axons and their postsynaptic neurons, or in the local cortical circuit (Feldman, 2012 ; Nave, 2010 ; Veniero, Ponzo, & Koch, 2013 ).”

    From Motor learning requires myelination to reduce asynchrony and spontaneity in neural activity (2020) · cites this paper as Feldman, 2012

    The Abstract (page unavailable) says that temporally correlated presynaptic activity and postsynaptic spiking can induce synaptic plasticity, and the Theoretical properties of STDP section describes effects on network learning. The passages do not connect STDP to optimally myelinated axons or establish that such an assembly would consolidate information processing. (LLM, conf=0.87)

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Authors
Feldman, D. E.
Affiliations
University of California, Berkeley (US)
Corresponding author
Feldman, Daniel E.
ORCID
Feldman, Daniel E.
Venue
Neuron
Publisher
Elsevier BV
Published
2012-08
Volume
75
Issue
4
Pages
556-571
ISSN
0896-6273 (ISSN-L)
DOI
10.1016/j.neuron.2012.08.001
PMC
PMC3431193
OpenAlex
W2009839417
Cited by
1,071
References
14
Citations by year
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FWCI
4.97
Type
journal article
Language
en
Open access
Licence
Locations
  • Neuron (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • U.S. Public Health Service (R01 073912)
  • National Institute of Neurological Disorders and Stroke (R01NS073912)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Keywords
spike-timing-dependent plasticity, long-term potentiation, long-term depression, synaptic plasticity, firing rate, depolarization
MeSH terms
Action Potentials, Animals, Dendrites, Humans, Models, Neurological, Neuronal Plasticity, Neurons, Synapses, Time Factors, Neurotransmitter Agents

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