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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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Old dogs learning new tricks: Neuroplasticity beyond the juvenile period
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“…with research on enriched environments and the development of Hebbian theory (Rosenzweig, 2007), and it is currently a ''hot topic'' in psychology and neuroscience (e.g., Bavelier, Levi, Li, Dan, & Hensch, 2010; Buonomano & Merzenich, 1998; Feldman, 2009; Holtmaat & Svoboda, 2009; Nelson, 1999).”
BackgroundEricsson, K. A. (2003) · Cambridge University Press eBooks · doi:10.1017/cbo9780511615801.006 · Cited by 87
Augmentation-related brain plasticity
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“An initial unmasking of already present, but inactive, connections is the effect of increased cortical excitability due to a reduction of GABA-mediated inhibition (Jones, 1993) and an increase of NMDA-mediated activation (Buonomano and Merzenich, 1998).”
BackgroundPatterned Vision Causes CRE-Mediated Gene Expression in the Visual Cortex through PKA and ERK
Cancedda, L., Putignano, E., Impey, S., Maffei, L., Ratto, G. M., & Pizzorusso, T. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-18-07012.2003 · Cited by 84
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Benikos, N., Johnstone, S. J., & Roodenrys, S. J. (2012) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2012.12.001 · Cited by 90
“…which underlie executive functions are amenable to training and experience (for a review see Kelly and Garavan, 2005), superseding the traditionally held belief that the human adult brain is hardwired and resistant to change (Buonomano and Merzenich, 1998; Kelly et al., 2006b; Raskin et al., 2011).”
BackgroundSensory Experience Alters Cortical Connectivity and Synaptic Function Site Specifically
Cheetham, C. E. J., Hammond, M. S. L., Edwards, C. E. J., & Finnerty, G. T. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.5143-06.2007 · Cited by 85
Light-Induced Structural and Functional Plasticity in Drosophila Larval Visual System
Yuan, Q., Xiang, Y., Yan, Z., Han, C., Jan, L. Y., & Jan, Y. N. (2011) · Science · doi:10.1126/science.1207121 · Cited by 83
Mechanisms underlying human motor system plasticity
Boroojerdi, B., Ziemann, U., Chen, R. E., Bütefisch, C. M., & Cohen, L. G. (2001) · Muscle & Nerve · doi:10.1002/mus.1045 · Cited by 85
Dynamics of Auditory Plasticity after Cochlear Implantation: A Longitudinal Study
Pantev, C., Dinnesen, A. G., Ross, B., Wollbrink, A., & Knief, A. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi081 · Cited by 83
Postsynaptic actin and neuronal plasticity
Matus, A. I. (1999) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(99)00018-5 · Cited by 84
Cooperative changes in GABA, glutamate and activity levels: the missing link in cortical plasticity
Arckens, L., Schweigart, G., Qu, Y., Wouters, G., Pow, D. V., Vandesande, F., Eysel, U. T., & Orban, G. A. (2000) · European Journal of Neuroscience · doi:10.1046/j.0953-816x.2000.01328.x · Cited by 82
Remapping the Somatosensory Cortex after Stroke: Insight from Imaging the Synapse to Network
Winship, I. R., & Murphy, T. H. (2009) · The Neuroscientist · doi:10.1177/1073858409333076 · Cited by 87
Arshavsky, Y. I. (2003) · Brain Research Reviews · doi:10.1016/s0165-0173(02)00249-7 · Cited by 84
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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