Cited by 2,083Neuroscience and Neuropharmacology ResearchNeural dynamics and brain functionMemory and Neural Mechanisms

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CORTICAL PLASTICITY: From Synapses to Maps

Buonomano, Dean V., Merzenich, Michael M.·1998·Annual Review of Neuroscience

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Abstract

It has been clear for almost two decades that cortical representations in adult animals are not fixed entities, but rather, are dynamic and are continuously modified by experience. The cortex can preferentially allocate area to represent the particular peripheral input sources that are proportionally most used. Alterations in cortical representations appear to underlie learning tasks dependent on the use of the behaviorally important peripheral inputs that they represent. The rules governing this cortical representational plasticity following manipulations of inputs, including learning, are increasingly well understood. In parallel with developments in the field of cortical map plasticity, studies of synaptic plasticity have characterized specific elementary forms of plasticity, including associative long-term potentiation and long-term depression of excitatory postsynaptic potentials. Investigators have made many important strides toward understanding the molecular underpinnings of these fundamental plasticity processes and toward defining the learning rules that govern their induction. The fields of cortical synaptic plasticity and cortical map plasticity have been implicitly linked by the hypothesis that synaptic plasticity underlies cortical map reorganization. Recent experimental and theoretical work has provided increasingly stronger support for this hypothesis. The goal of the current paper is to review the fields of both synaptic and cortical map plasticity with an em…

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BackgroundInfluential
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“…during the last decade, the concepts of neural plasticity, neurogeneration and brain repair have been carefully redefined and the emergent picture of the adult learning brain is more dynamic, open and encouraging than the previous views (Buonomano & Merzenich 1998; Bruer 2003; De Felipe 2006).”
Result
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“…adjustments of excitatory synaptic strength are believed to be a major mechanism by which cortical networks adapt to the statistics of sensory input, over a range of timescales from seconds to days (Buonomano and Merzenich, 1998; Froemke and Martins, 2011; Martin et al., 2000; McGaugh 2000).”
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Background
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Authors: Buonomano, D. V., & Merzenich, M. M.
Affiliations: University of California, Los Angeles (US)
University of California, San Francisco (US)
ORCID: Buonomano, Dean V.
Merzenich, Michael M.
Venue: Annual Review of Neuroscience
Publisher: Annual Reviews
Published: 1998-03
Volume: 21
Issue: 1
Pages: 149-186
ISSN: 0147-006X (ISSN-L)
1545-4126
DOI: 10.1146/annurev.neuro.21.1.149
OpenAlex: W2158935809
Cited by: 2,083
References: 192
Citations by year: 2026: 21 · 2025: 27 · 2024: 43 · 2023: 40 · 2022: 45 · 2021: 58 · 2020: 49 · 2019: 73 · 2018: 67 · 2017: 61 · 2016: 61 · 2015: 78 · 2014: 72 · 2013: 95 · 2012: 98
FWCI: 8.24
Type: journal article
Language: en
Open access: closed
Locations: Annual Review of Neuroscience (publishedVersion)
PubMed (publishedVersion)
Funders: U.S. Public Health Service (10414)
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: cortical plasticity, synaptic plasticity, long-term potentiation, long-term depression, excitatory postsynaptic potentials, learning rules
MeSH terms: Animals, Brain Mapping, Cerebral Cortex, Neuronal Plasticity, Synapses

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CORTICAL PLASTICITY: From Synapses to Maps

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