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Cited by 607

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

A unified model of NMDA receptor-dependent bidirectional synaptic plasticity

Open access
Shouval, Harel Z., Bear, Mark F., Cooper, Leon N·2002·Proceedings of the National Academy of Sciences

Abstract

Synapses in the brain are bidirectionally modifiable, but the routes of induction are diverse. In various experimental paradigms, N -methyl- d -aspartate receptor-dependent long-term depression and long-term potentiation have been induced selectively by varying the membrane potential of the postsynaptic neurons during presynaptic stimulation of a constant frequency, the rate of presynaptic stimulation, and the timing of pre- and postsynaptic action potentials. In this paper, we present a mathematical embodiment of bidirectional synaptic plasticity that is able to explain diverse induction protocols with a fixed set of parameters. The key assumptions and consequences of the model can be tested experimentally; further, the model provides the foundation for a unified theory of N -methyl- d -aspartate receptor-dependent synaptic plasticity.

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Metadata

Authors
Shouval, H. Z., Bear, M. F., & Cooper, L. N.
Venue
Proceedings of the National Academy of Sciences
Published
2002-07-22
Volume
99
Issue
16
Pages
10831-10836
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2154045630
Cited by
607
References
4
FWCI
6.62
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A unified model of NMDA receptor-dependent bidirectional synaptic plasticity. https://app.cochat.ai/papers/10.1073/pnas.152343099
The paper
Shouval, H. Z., Bear, M. F., & Cooper, L. N. (2002). A unified model of NMDA receptor-dependent bidirectional synaptic plasticity. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.152343099

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.