2016
DOI: 10.1523/jneurosci.2507-16.2016
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End-Stopping Predicts Curvature Tuning along the Ventral Stream

Abstract: The macaque occipitotemporal cortex contains clusters of neurons with preferences for categories such as faces, body parts, and places. One common question is how these clusters (or "domains") acquire their cortical position along the ventral stream. We and other investigators previously established an fMRI-level correlation among these category domains, retinotopy, and curvature preferences: for example, in inferotemporal cortex, face- and curvature-preferring domains show a central visual field bias whereas … Show more

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Cited by 45 publications
(56 citation statements)
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References 39 publications
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“…Therefore, in adults, maps of both spatial frequency and curvature tuning correlate with eccentricity maps (Ponce et al, 2017; Srihasam et al, 2014; Henriksson et al, 2008). To see whether the eccentricity organization we found in neonates carried with it a similar selectivity for stimulus scale, we performed spatial frequency mapping in one infant monkey at 110 days old, well after significant visual responses had appeared with fMRI (Figure 1), but prior to the emergence of face-selective clusters in IT (Figure 8a).…”
Section: Resultsmentioning
confidence: 88%
“…Therefore, in adults, maps of both spatial frequency and curvature tuning correlate with eccentricity maps (Ponce et al, 2017; Srihasam et al, 2014; Henriksson et al, 2008). To see whether the eccentricity organization we found in neonates carried with it a similar selectivity for stimulus scale, we performed spatial frequency mapping in one infant monkey at 110 days old, well after significant visual responses had appeared with fMRI (Figure 1), but prior to the emergence of face-selective clusters in IT (Figure 8a).…”
Section: Resultsmentioning
confidence: 88%
“…67). Most recently, curvature has been proposed as a proto-organizing dimension of the ventral visual stream (50,58), and specific curvature-preferring patches have been discovered in macaques (68). One challenge is that these studies have operationalized curvature in different ways (e.g., wavy-to-straight, round-to-rectilinear, curvy-to-boxy).…”
Section: Discussionmentioning
confidence: 99%
“…Are broad category distinctions such as animacy and size evident because there are initial curvature biases in the visual system? For example, on an inputdriven account, the statistics of visual experience with animals and objects of different sizes might be sufficient to account for this large-scale organization: Early retinotopy might naturally give rise to a large-scale curvature proto-organization in occipitotemporal cortex (11,31,50,58) which in turn gives rise to a large-scale organization by the covarying high-level distinctions of animacy and object size. Alternatively, these mid-level curvature features might be learned specifically due to higher-level pressures to distinguish animals, big objects, and small objects (71,72).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…At present, it is incontrovertible that the visual system (the focus of this paper) is likely both plastic and stable. Recent studies have pointed to the necessary role of experience in shaping the topography of visual regions, including the category-selective organization of extrastriate areas Livingstone et al, 2017;Ponce et al, 2017) and the effects of experiential deprivation on these maps (Kelly et al, 2012;. Ongoing pressing questions then revolve around the time periods within which maximal plasticity occurs, whether plasticity applies to particular visual maps and whether one can promote plasticity by intervention, either behavioral or molecular (for review, see Bavelier et al, 2010).…”
Section: Introductionmentioning
confidence: 99%