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Receptive-field characteristics of single neurons in lateral suprasylvian visual area of the cat

Spear, P. D., Baumann, T. P.·1975·Journal of Neurophysiology

Abstract

The visual receptive fields of 213 cells in the lateral suprasylvian visual cortex (LS, or Clare-Bishop area) were studied in cats anesthetized with nitrous oxide. Eighty-one percent of the cells were directionally selective. They responded poorly to stationary stimuli flashed on or off, but gave a directionally selective response to stimuli moving through the receptive field. Most of these had a single preferred direction and an opposite null direction. They typically responded to a range of directions of stimulus movement from 45 to 90 degrees to either side of the preferred direction. Small stimuli (1-2 degrees or smaller) typically were effective and 87% of the directionally selective cells showed spatial summation. About 32% had inhibitory mechanisms which decreased the response of the cell if the stimulus exceeded a maximum size. There was little or no evidence that LS area cells were orientation selective or sensitive to variations in stimulus shape independent of size.

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Crossref · 10.1152/jn.1975.38.6.1403

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Metadata

Authors
Spear, P. D., & Baumann, T. P.
Venue
Journal of Neurophysiology
Published
1975-11-01
Volume
38
Issue
6
Pages
1403-1420
ISSN
  • 0022-3077 (ISSN-L)
  • 1522-1598
OpenAlex
W121675508
Cited by
223
References
0
FWCI
2.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Receptive-field characteristics of single neurons in lateral suprasylvian visual area of the cat. https://app.cochat.ai/papers/10.1152/jn.1975.38.6.1403
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Spear, P. D., & Baumann, T. P. (1975). Receptive-field characteristics of single neurons in lateral suprasylvian visual area of the cat. Journal of Neurophysiology. https://doi.org/10.1152/jn.1975.38.6.1403

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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.