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

The DOI matches its Crossref record; 190 of the 192 references it cites were found in a registry or an index.

CORTICAL PLASTICITY: From Synapses to Maps

Buonomano, Dean V., Merzenich, Michael M.·1998·Annual Review of Neuroscience
DOI 10.1146/annurev.neuro.21.1.149
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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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Crossref · 10.1146/annurev.neuro.21.1.149

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Citations

Cites

Research works printed but not linked: 8

  1. Buonomano DV, 1996, Soc. Neurosci. Abstr., 22, 1743
  2. Clark SA, 1986, Soc. Neurosci. Abstr., 12, 391
  3. Heinen SJ, 1981, Exp. Brain Res., 83, 670
  4. Merzenich MM. 1987. Dynamic neocortical processes and the origins of higher brain functions. In The Neural and Molecular Bases of Learning , ed. JP Changeux, M Konishi, pp. 337–58. Chichester: Wiley
  5. Merzenich MM, Jenkins WM. 1992. Cortical plasticity, learning, and learning dysfunction. In Maturational Windows and Adult Cortical Plasticity , ed. B Julesz, I Kovacs, pp. 1–26. Reading: Addison-Wesley
  6. Merzenich MM, Recanzone GH, Jenkins WM, Nudo RJ. 1990b. How the brain functionally rewires itself. In Natural and Artificial Parallel Computation , ed. M Arbib, D Robinson, pp. 177–210. Cambridge: MIT Press
  7. Schwaber MK, 1993, Am. J. Otol., 14, 252
  8. Tyler T, 1990, Semin. Neurosci., 2, 365

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Metadata

Authors
Buonomano, D. V., & Merzenich, M. M.
Affiliations
  • University of California, Los Angeles (US)
  • University of California, San Francisco (US)
ORCID
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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