The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Learning-Induced LTP in Neocortex
Abstract
The hypothesis that learning occurs through long-term potentiation (LTP)– and long-term depression (LTD)–like mechanisms is widely held but unproven. This hypothesis makes three assumptions: Synapses are modifiable, they modify with learning, and they strengthen through an LTP-like mechanism. We previously established the ability for synaptic modification and a synaptic strengthening with motor skill learning in horizontal connections of the rat motor cortex (MI). Here we investigated whether learning strengthened these connections through LTP. We demonstrated that synapses in the trained MI were near the ceiling of their modification range, compared with the untrained MI, but the range of synaptic modification was not affected by learning. In the trained MI, LTP was markedly reduced and LTD was enhanced. These results are consistent with the use of LTP to strengthen synapses during learning.
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Cites
Synaptic Plasticity and Memory: An Evaluation of the Hypothesis
Martin, S. J., Grimwood, P. D., & Morris, R. G. M. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.649 · Cited by 2,794
Dendritic spine changes associated with hippocampal long-term synaptic plasticity
Engert, F., & Bonhoeffer, T. (1999) · Nature · doi:10.1038/19978 · Cited by 1,412
Fear conditioning induces associative long-term potentiation in the amygdala
Rogan, M. T., Stäubli, U. V., & LeDoux, J. E. (1997) · Nature · doi:10.1038/37601 · Cited by 1,310
Rapid Spine Delivery and Redistribution of AMPA Receptors After Synaptic NMDA Receptor Activation
Shi, S.-H., Hayashi, Y., Petralia, R. S., Zaman, S. H., Wenthold, R. J., Svoboda, K., & Malinow, R. (1999) · Science · doi:10.1126/science.284.5421.1811 · Cited by 1,276
Rapid Dendritic Morphogenesis in CA1 Hippocampal Dendrites Induced by Synaptic Activity
Maletic-Savatic, M., Malinow, R., & Svoboda, K. (1999) · Science · doi:10.1126/science.283.5409.1923 · Cited by 1,009
LTP promotes formation of multiple spine synapses between a single axon terminal and a dendrite
Toni, N., Buchs, P.-A., Nikonenko, I., Bron, C. R., & Muller, D. (1999) · Nature · doi:10.1038/46574 · Cited by 949
Fear conditioning induces a lasting potentiation of synaptic currents in vitro
McKernan, M. G., & Shinnick-Gallagher, P. (1997) · Nature · doi:10.1038/37605 · Cited by 771
Functional Stages in the Formation of Human Long-Term Motor Memory
Shadmehr, R., & Brashers-Krug, T. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-01-00409.1997 · Cited by 706
Strengthening of horizontal cortical connections following skill learning
Rioult-Pedotti, M. S., Friedman, D., Hess, G., & Donoghue, J. P. (1998) · Nature Neuroscience · doi:10.1038/678 · Cited by 701
Self-citationExperience-dependent modification of synaptic plasticity in visual cortex
Kirkwood, A., Rioult, M. G., & Bear, M. F. (1996) · Nature · doi:10.1038/381526a0 · Cited by 627
Cited by
Neuroplasticity Subserving Motor Skill Learning
Dayan, E., & Cohen, L. G. (2011) · Neuron · doi:10.1016/j.neuron.2011.10.008 · Cited by 1,408
Fritsch, B., Reis, J., Martinowich, K., Schambra, H. M., Ji, Y., Cohen, L. G., & Lu, B. (2010) · Neuron · doi:10.1016/j.neuron.2010.03.035 · Cited by 1,420
Reis, J., Schambra, H. M., Cohen, L. G., Buch, E. R., Fritsch, B., Zarahn, E., Celnik, P. A., & Krakauer, J. W. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0805413106 · Cited by 1,401
Rapid formation and selective stabilization of synapses for enduring motor memories
Xu, T., Yu, X., Perlik, A. J., Tobin, W. F., Zweig, J. A., Tennant, K., Jones, T., & Zuo, Y. (2009) · Nature · doi:10.1038/nature08389 · Cited by 1,193
Single cocaine exposure in vivo induces long-term potentiation in dopamine neurons
Ungless, M. A., Whistler, J. L., Malenka, R. C., & Bonci, A. (2001) · Nature · doi:10.1038/35079077 · Cited by 1,106
Metadata
- Authors
- Rioult-Pedotti, M.-S., Friedman, D., & Donoghue, J. P.
- Venue
- Science
- Published
- 2000-10-20
- Volume
- 290
- Issue
- 5491
- Pages
- 533-536
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2067071866
- Cited by
- 1,015
- References
- 32
- FWCI
- 8.71
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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