Encyclopedia of Neuroscience 2009
DOI: 10.1016/b978-008045046-9.00215-1
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Visual System: Functional Architecture of Area V2

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Cited by 10 publications
(18 citation statements)
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“…The fact that motion maps, disparity maps, and hue maps arise in secondary areas (V2 and MT) but not the first stage (V1) may indicate common functional transformations across feature modalities (cf. Roe et al 2009). …”
Section: Discussionmentioning
confidence: 99%
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“…The fact that motion maps, disparity maps, and hue maps arise in secondary areas (V2 and MT) but not the first stage (V1) may indicate common functional transformations across feature modalities (cf. Roe et al 2009). …”
Section: Discussionmentioning
confidence: 99%
“…Functional domains of such a size, such as color blobs in V1, are readily detected by optical imaging methods. We routinely detect color blobs (which are 0.15–0.2mm in size) in V1 (Lu et al 2008) and even subregions of single blobs that exhibit different hue preference (Xiao et al 2007, Roe et al 2009). Although one still cannot rule out the possibility that the size of directional clustering is so small (e.g.…”
Section: Discussionmentioning
confidence: 99%
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“…This line of questioning has been successfully used to examine transformations that occur in other visual areas. For example, by identifying transformations across different submodalities of color (thin stripes), contour (thick/pale), depth (thick), and motion (thick), the functional transformations unique to V2 were characterized (Roe, 2003; Roe et al, 2009; Lu et al, 2010). An important viewpoint that emerged is that functional organization matters.…”
Section: V4 Is a Midtier Feature Representation Area: Computatiomentioning
confidence: 99%
“…Is there a common functional transformation that V4 performs across these multiple feature modalities? A better understanding of V4 function may come from studies that directly compare responses to multiple featural spaces, akin to those that have been conducted in V2 (e.g., Roe et al, 2009 for review) and in inferotemporal areas (e.g., Vinberg and Grill-Spector, 2008). …”
Section: V4 Is a Midtier Feature Representation Area: Computatiomentioning
confidence: 99%