The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Long‐Term synaptic potentiation in the amygdala
Abstract
The manner in which the circuitry of the amygdala computes its suspected mnemonic has been a mystery, partly cellular analysis. Here we report in vitro methods and results that may help elucidate cellular learning mechanisms in amygdala neurons. The amygdala brain slice preparation was combined with the single‐electrode clamp (sEC) technique for intracellular analysis of membrane properties and synaptic responses. With respect to the active and passive membrane properties, we found considered diversity among the population of cells that were sampled in the lateral and basolateral nuclei (n = 85). Synaptic inputs to these neurons were studied by stimulating the external capsule (EC), which was shown to produce a complex response that typically consisted of an excitatory followed by an inhibitory component. Based on serval criteria, the excitatory component apperred to reflect a monosynaptic connection from the EC. One immediate goal was to discover whether the excitatory component displays the phenomenon of long‐term potentiation (LTP)–a persistent increase in synaptic stimulation. Indeed, we found that high‐frequency (100 Hz) stimulation of the EC induced LTP in 80% of the cells from which suitable recordings were obtained (n= 20). This finding of LTP in the amygdala is significant in regard to current effort to explore linkages between this use‐dependent form of synaptic plasticity and rapid kinds of associative learning.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Miserendino, M. J. D., Sananes, C. B., Melia, K. R., & Davis, M. (1990) · Nature · doi:10.1038/345716a0 · Cited by 824
Cited by
LeDoux, J. E. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.155 · Cited by 8,444
The amygdala: vigilance and emotion
Davis, M., & Whalen, P. J. (2001) · Molecular Psychiatry · doi:10.1038/sj.mp.4000812 · Cited by 2,882
The role of the amygdala in fear and anxiety
Davis, M. (1992) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.15.030192.002033 · Cited by 2,357
Spike Timing–Dependent Plasticity: A Hebbian Learning Rule
Caporale, N., & Dan, Y. (2008) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.31.060407.125639 · Cited by 1,997
The Emotional Brain, Fear, and the Amygdala
LeDoux, J. (2003) · Cellular and Molecular Neurobiology · doi:10.1023/a:1025048802629 · Cited by 1,818
Metadata
- Authors
- Chapman, P. F., Kairiss, E. W., Keenan, C. L., & Brown, T. H.
- Venue
- Synapse
- Publisher
- Wiley
- Published
- 1990-01
- Volume
- 6
- Issue
- 3
- Pages
- 271-278
- ISSN
- 0887-4476 (ISSN-L)
- 1098-2396
- OpenAlex
- W2066686316
- Cited by
- 233
- References
- 1
- FWCI
- 3.56
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Long‐Term synaptic potentiation in the amygdala. https://app.cochat.ai/papers/10.1002/syn.890060306
- The paper
- Chapman, P. F., Kairiss, E. W., Keenan, C. L., & Brown, T. H. (1990). Long‐Term synaptic potentiation in the amygdala. Synapse. https://doi.org/10.1002/syn.890060306
Data sources
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.