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Cited by 402

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Synaptic Depression and the Temporal Response Characteristics of V1 Cells

Open access
Chance, Frances S., Nelson, Sacha B., Abbott, L. F.·1998·The Journal of Neuroscience

Abstract

We explore the effects of short-term synaptic depression on the temporal dynamics of V1 responses to visual images by constructing a model simple cell. Synaptic depression is modeled on the basis of previous detailed fits to experimental data. A component of synaptic depression operating in the range of hundreds of milliseconds can account for a number of the unique temporal characteristics of cortical neurons, including the bandpass nature of frequency-response curves, increases in response amplitude and in cutoff frequency for transient stimuli, nonlinear temporal summation, and contrast-dependent shifts in response phase. Synaptic depression also provides a mechanism for generating the temporal phase shifts needed to produce direction selectivity, and a model constructed along these lines matches both extracellular and intracellular data. A slower component of depression can reproduce the effects of contrast adaptation.

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Crossref · 10.1523/jneurosci.18-12-04785.1998

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Metadata

Authors
Chance, F. S., Nelson, S. B., & Abbott, L. F.
Venue
The Journal of Neuroscience
Published
1998-06-15
Volume
18
Issue
12
Pages
4785-4799
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W2139384331
Cited by
402
References
7
FWCI
10.75
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Synaptic Depression and the Temporal Response Characteristics of V1 Cells. https://app.cochat.ai/papers/10.1523/jneurosci.18-12-04785.1998
The paper
Chance, F. S., Nelson, S. B., & Abbott, L. F. (1998). Synaptic Depression and the Temporal Response Characteristics of V1 Cells. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.18-12-04785.1998

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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.