Subdomains within orientation columns of primary visual cortex

Li, Ming; Song, Xinmei; Xu, Tao; Hu, Dewen; Roe, Anna Wang; Li, Chao Yi

doi:10.1126/sciadv.aaw0807

Cited by 33 publications

(15 citation statements)

References 45 publications

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“…Pinwheels are hypothesized to be landmarks of continuous ‘polymaps’ (for optimal representation of multiple feature spaces within a single area) and have been observed in both experimental data and computational models (21-23). Such structures have been previously observed in orientation maps and color maps in V1 (22, 24-26), V2 (27), and V4 (15, 17, 28) and more recently has been proposed as a fundamental unit of the orientation hypercolumn in V1 (26). To better evaluate this possibility, we conducted another experiment using a finer gradation of orientations (8 different orientations).…”

Section: Resultssupporting

confidence: 61%

“…6B). As evident from other cortical functional maps (15-17, 22, 24-26), this continuum of parameter representation (a la orientation maps in V1) suggests a common transformation of information representation in the cortex. In this case, the common transformation is curvature representation and is embodied in a module we term the curvature domain.…”

Section: Discussionmentioning

confidence: 52%

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Curvature domains in V4 of Macaque Monkey

Song

Wang

et al. 2020

Preprint

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Significance 11 We use intrinsic signal optical imaging in area V4 of anesthetized macaque monkey to study the 12 functional organization of curvature representation. We find a modular basis for cue-invariant 13 curvature representation in area V4 of monkey visual cortex and illustrate a systematic 14 representation from low to high curvature and of curvature orientation, replete with curvature 15 pinwheels. This is the first report of systematic functional organization for curvature 16 representation in the visual system. The use of optical imaging has revealed at a population level 17 spatial details of cortical responses, something which has not been evident from previous studies 18 of single neurons. These data support a representational architecture underlying a 'curvature 19 hypercolumn' in V4. 20Abstract 21 An important aspect of visual object recognition is the ability to perceive object shape. How the 22 brain encodes fundamental aspects of shape information remains poorly understood. Models of 23 object shape representation describe a multi-stage process that includes encoding of contour 24 orientation and curvature. While modules encoding contour orientation are well established 25 (orientation domains in V1 and V2 visual cortical areas), whether there are modules for curvature 26 is unknown. In this study, we identify a module for curvature representation in area V4 of 27 monkey visual cortex and illustrate a systematic representation of low to high curvature and of 28 curvature orientation, indicative of curvature hypercolumns in V4. We suggest that identifying 29 systematic modular organizations at each stage of the visual cortical hierarchy signifies the key 30 computations performed. 31

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Section: Resultssupporting

confidence: 61%

Section: Discussionmentioning

confidence: 52%

Curvature domains in V4 of Macaque Monkey

Song

Wang

et al. 2020

Preprint

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“…The functional role of the columnar and salt-and-pepper organization has been debated (Koch et al, 2016;Li et al, 2019), and future studies are needed to reveal whether each type of organization is the optimized form of functional circuits under different physical constraints in each species. Our findings may provide advanced insight into the study of distinct cortical architectures under a universal principle of development process.…”

Section: Discussionmentioning

confidence: 99%

Retino-Cortical Mapping Ratio Predicts Columnar and Salt-and-Pepper Organization in Mammalian Visual Cortex

2020

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“…The functional role of the columnar and salt-and-pepper organization has been debated 29,30 and future studies are needed to reveal whether each type of organization is the optimized form of functional circuits under different physical constraints in each species. Our findings may provide advanced insight into the study of distinct cortical architectures under a universal principle of development process.…”

Section: Discussionmentioning

confidence: 99%

Classification of columnar and salt-and-pepper organization in mammalian visual cortex

Jang¹,

Song

Paik

2019

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In mammalian visual cortex, neural tuning to stimulus orientation is organized in either columnar1 or salt- and-pepper2 patterns across species. This is often considered to reflect disparate mechanisms of cortical development across mammalian taxa. However, it is unknown whether different cortical architectures are generated by species-specific mechanisms3,4, or simply originate from the variation of biological parameters within a universal principle of development5–8. We analysed neural parameters in eight mammalian species and found that cortical organization is predictable by a single factor: the retino-cortical mapping ratio. We show that a Nyquist sampling model explains parametric division of the patterns with high accuracy and that simulations of controlled mapping conditions reproduce both types of organization. Our results explain the origin of distinct cortical circuits under a universal development process.

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Subdomains within orientation columns of primary visual cortex

Cited by 33 publications

References 45 publications

Curvature domains in V4 of Macaque Monkey

Curvature domains in V4 of Macaque Monkey

Retino-Cortical Mapping Ratio Predicts Columnar and Salt-and-Pepper Organization in Mammalian Visual Cortex

Classification of columnar and salt-and-pepper organization in mammalian visual cortex

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