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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. <\/jats:p>","DOI":"10.1146\/annurev.neuro.22.1.145","type":"journal-article","created":{"date-parts":[[2002,7,27]],"date-time":"2002-07-27T11:45:50Z","timestamp":1027770350000},"page":"145-173","source":"Crossref","is-referenced-by-count":172,"title":["COMPUTATIONAL NEUROIMAGING OF HUMAN VISUAL CORTEX"],"prefix":"10.1146","volume":"22","author":[{"given":"Brian A.","family":"Wandell","sequence":"first","affiliation":[{"name":"Neuroscience Program and Department of Psychology, Stanford University, Stanford, California 94305;"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"22","reference":[{"key":"b1","doi-asserted-by":"publisher","DOI":"10.1068\/p140105"},{"key":"b2","doi-asserted-by":"publisher","DOI":"10.1068\/p010371"},{"key":"b3","unstructured":"Barlow H. 1995. 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