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Cited by 1,120

The DOI matches its Crossref record; 161 of the 161 references it cites were found in a registry or an index.

Endocannabinoid Signaling and Synaptic Function

Open access
Castillo, Pablo E., Younts, Thomas J., Chávez, Andrés E., Hashimotodani, Yuki·2012·Neuron

Abstract

Endocannabinoids are key modulators of synaptic function. By activating cannabinoid receptors expressed in the central nervous system, these lipid messengers can regulate several neural functions and behaviors. As experimental tools advance, the repertoire of known endocannabinoid-mediated effects at the synapse, and their underlying mechanism, continues to expand. Retrograde signaling is the principal mode by which endocannabinoids mediate short- and long-term forms of plasticity at both excitatory and inhibitory synapses. However, growing evidence suggests that endocannabinoids can also signal in a non-retrograde manner. In addition to mediating synaptic plasticity, the endocannabinoid system is itself subject to plastic changes. Multiple points of interaction with other neuromodulatory and signaling systems have now been identified. Synaptic endocannabinoid signaling is thus mechanistically more complex and diverse than originally thought. In this review, we focus on new advances in endocannabinoid signaling and highlight their role as potent regulators of synaptic function in the mammalian brain.

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Metadata

Authors
Castillo, P. E., Younts, T. J., Chávez, A. E., & Hashimotodani, Y.
Venue
Neuron
Publisher
Elsevier BV
Published
2012-10
Volume
76
Issue
1
Pages
70-81
ISSN
0896-6273 (ISSN-L)
OpenAlex
W2062417095
Cited by
1,120
References
161
FWCI
32.00
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Endocannabinoid Signaling and Synaptic Function. https://app.cochat.ai/papers/10.1016/j.neuron.2012.09.020
The paper
Castillo, P. E., Younts, T. J., Chávez, A. E., & Hashimotodani, Y. (2012). Endocannabinoid Signaling and Synaptic Function. Neuron. https://doi.org/10.1016/j.neuron.2012.09.020

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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.