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Cited by 640

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

Direction- and Velocity-Specific Responses from beyond the Classical Receptive Field in the Middle Temporal Visual Area (MT)

Allman, John, Miezin, Francis, McGuinness, EveLynn·1985·Perception
DOI 10.1068/p140105
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Abstract

The true receptive field of more than 90% of neurons in the middle temporal visual area (MT) extends well beyond the classical receptive field (crf), as mapped with conventional bar or spot stimuli, and includes a surrounding region that is 50 to 100 times the area of the crf. These extensive surrounds are demonstrated by simultaneously stimulating the crf and the surround with moving stimuli. The surrounds commonly have directional and velocity-selective influences that are antagonistic to the response from the crf. The crfs of MT neurons are organized in a topographic representation of the visual field. Thus MT neurons are embedded in an orderly visuotopic array, but are capable of integrating local stimulus conditions within a global context. The extensive surrounds of MT neurons may be involved in figure–ground discrimination, preattentive vision, perceptual constancies, and depth perception through motion cues.

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Metadata

Authors
Allman, J., Miezin, F., & McGuinness, E.
Venue
Perception
Publisher
SAGE Publications
Published
1985-04
Volume
14
Issue
2
Pages
105-126
ISSN
  • 0301-0066 (ISSN-L)
  • 1468-4233
DOI
10.1068/p140105
OpenAlex
W2037839670
Cited by
640
References
54
FWCI
6.04
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Direction- and Velocity-Specific Responses from beyond the Classical Receptive Field in the Middle Temporal Visual Area (MT). https://app.cochat.ai/papers/10.1068/p140105
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Allman, J., Miezin, F., & McGuinness, E. (1985). Direction- and Velocity-Specific Responses from beyond the Classical Receptive Field in the Middle Temporal Visual Area (MT). Perception. https://doi.org/10.1068/p140105

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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