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CORTICAL PLASTICITY: From Synapses to Maps
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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“These theoretical predictions are entirely consistent with empirical and computational characterisations of plasticity [56],[57].”
From Hierarchical Models in the Brain (2008) · cites this paper as [56]
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Lu, H., She, W.-C., Plas, D. T., Neumann, P. E., Janz, R., & Crair, M. C. (2003) · Nature Neuroscience · doi:10.1038/nn1106 · Cited by 109
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Astrocyte-mediated switch in spike timing-dependent plasticity during hippocampal development
Falcón‐Moya, R., Pérez-Rodríguez, M., Prius-Mengual, J., Andrade‐Talavera, Y., Arroyo‐García, L. E., Pérez-Artés, R., Mateos‐Aparicio, P., Guerra‐Gomes, S., Oliveira, J. F., Flores, G., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18024-4 · Cited by 110
Flight restores fight in crickets
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The influence of environment and experience on neural grafts
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Phoneme-based rehabilitation of anomia in aphasia
Kendall, D. L., Rosenbek, J. C., Heilman, K. M., Conway, T. W., Klenberg, K., Rothi, L. J. G., & Nadeau, S. E. (2008) · Brain and Language · doi:10.1016/j.bandl.2007.11.007 · Cited by 108
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Molecular control of brain plasticity and repair
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“, 2007) analogies between deafferentation related tinnitus and deafferentation related pain, and the fact that synaptic and map plasticity changes are similar in all sensory domains (Buonomano and Merzenich, 1998; Donoghue, 1995; Feldman, 2009; Kaas, 1991), it would also be of interest to verify if thismultiphase plas…”
Sessle, B. J., Yao, D., Nishiura, H., Yoshino, K., Lee, J., Martin, R. E., & Murray, G. M. (2005) · Clinical and Experimental Pharmacology and Physiology · doi:10.1111/j.1440-1681.2005.04137.x · Cited by 105
Specialization of primary auditory cortex processing by sound exposure in the “critical period”
Nakahara, H., Zhang, L. I., & Merzenich, M. M. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0401196101 · Cited by 104
Self-citationFonta, C. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh021 · Cited by 104
Central nervous adaptations following 1 wk of wrist and hand immobilization
Lundbye‐Jensen, J., & Nielsen, J. B. (2008) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00687.2007 · Cited by 108
Towards understanding of the cortical network underlying associative memory
Osada, T., Adachi, Y., Kimura, H. M., & Miyashita, Y. (2008) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2008.2271 · Cited by 103
“In the primary somatosensory cortex of adult monkeys, peripheral denervation has been shown to produce a reorganization of the cortical topographic map in the deafferented region (Buonomano & Merzenich 1998).”
BackgroundAgainst cortical reorganisation
Makin, T. R., & Krakauer, J. W. (2023) · eLife · doi:10.7554/elife.84716 · Cited by 127
“From a physiological perspective, cortical plasticity is largely attributed to the strengthening and weakening of pre-existing synaptic connections based on experience (e.g. Hebbian plasticity; Buonomano and Merzenich, 1998 ).”
BackgroundActivity-dependent organization of inhibitory circuits: lessons from the auditory system
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Developmental processes and brain imaging studies in Tourette syndrome
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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)
- 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
- 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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