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Cited by 236

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

COMPUTATIONAL NEUROIMAGING OF HUMAN VISUAL CORTEX

Wandell, Brian A.·1999·Annual Review of Neuroscience

Abstract

▪ Abstract Functional magnetic resonance imaging is a new neuroimaging method for probing the intact, alert, human brain. With this tool, brain activity that has been hidden can now be measured. Recent advances in measuring and understanding human neural responses underlying motion, color, and pattern perception are reviewed. In individual human brains, we can now identify the positions of several retinotopically organized visual areas; measure retinotopic organization within these areas; identify the location of a motion-sensitive region in individual brains; measure responses associated with contrast, color, and motion; and measure effects of attentional modulation on visually evoked responses. By framing experiments and analyses as questions about visual computation, these neuroimaging measurements can be coupled closely with those from other basic vision-science methods.

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Crossref · 10.1146/annurev.neuro.22.1.145

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Metadata

Authors
Wandell, B. A.
Venue
Annual Review of Neuroscience
Published
1999-03
Volume
22
Issue
1
Pages
145-173
ISSN
  • 0147-006X (ISSN-L)
  • 1545-4126
OpenAlex
W2171058610
Cited by
236
References
6
FWCI
1.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: COMPUTATIONAL NEUROIMAGING OF HUMAN VISUAL CORTEX. https://app.cochat.ai/papers/10.1146/annurev.neuro.22.1.145
The paper
Wandell, B. A. (1999). COMPUTATIONAL NEUROIMAGING OF HUMAN VISUAL CORTEX. Annual Review of Neuroscience. https://doi.org/10.1146/annurev.neuro.22.1.145

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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.