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Cited by 482

The DOI matches its Crossref record; 150 of the 150 references it cites were found in a registry or an index.

Endocannabinoid Signaling and Long-Term Synaptic Plasticity

Open access
Heifets, Boris D., Castillo, Pablo E.·2009·Annual Review of Physiology

Abstract

Endocannabinoids (eCBs) are key activity-dependent signals regulating synaptic transmission throughout the central nervous system. Accordingly, eCBs are involved in neural functions ranging from feeding homeostasis to cognition. There is great interest in understanding how exogenous (e.g., cannabis) and endogenous cannabinoids affect behavior. Because behavioral adaptations are widely considered to rely on changes in synaptic strength, the prevalence of eCB-mediated long-term depression (eCB-LTD) at synapses throughout the brain merits close attention. The induction and expression of eCB-LTD, although remarkably similar at various synapses, are controlled by an array of regulatory influences that we are just beginning to uncover. This complexity endows eCB-LTD with important computational properties, such as coincidence detection and input specificity, critical for higher CNS functions like learning and memory. In this article, we review the major molecular and cellular mechanisms underlying eCB-LTD, as well as the potential physiological relevance of this widespread form of synaptic plasticity.

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Crossref · 10.1146/annurev.physiol.010908.163149

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Metadata

Authors
Heifets, B. D., & Castillo, P. E.
Venue
Annual Review of Physiology
Published
2009-03-01
Volume
71
Issue
1
Pages
283-306
ISSN
  • 0066-4278 (ISSN-L)
  • 1545-1585
OpenAlex
W2165151662
Cited by
482
References
150
FWCI
4.92
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Endocannabinoid Signaling and Long-Term Synaptic Plasticity. https://app.cochat.ai/papers/10.1146/annurev.physiol.010908.163149
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Heifets, B. D., & Castillo, P. E. (2009). Endocannabinoid Signaling and Long-Term Synaptic Plasticity. Annual Review of Physiology. https://doi.org/10.1146/annurev.physiol.010908.163149

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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.