A twisted visual field map in the primate cortex predicted by topographic continuity

Yu, Hsin‐Hao; Rowley, Declan P.; Zavitz, Elizabeth; Price, Nicholas S. C.

doi:10.1101/682187

Cited by 6 publications

(12 citation statements)

References 24 publications

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“…7c-f). For both areas, several channels showed a clear spatial peak that was consistent with the expected location of the RF from published retinotopic maps of the marmoset cortex (Chaplin et al, 2013;Yu et al, 2019).…”

Section: Resultssupporting

confidence: 82%

Visual neuroscience methods for marmosets: efficient receptive field mapping and head-free eye tracking

Jendritza

Klein

Rohenkohl

2020

Preprint

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The marmoset has emerged as a promising primate model system, in particular for visual neuroscience. Many common experimental paradigms rely on head fixation and a sustained period of eye fixation during the presentation of salient visual stimuli. Both of these behavioral requirements can be challenging for marmosets. Here, we present two methodological developments to overcome these difficulties. First, we show that it is possible to use a standard eye tracking system without head fixation to assess visual behavior in the marmoset. Eye tracking quality from head-free animals is sufficient to measure precise psychometric functions from a visual acuity task. Secondly, we introduce a novel method for efficient receptive field mapping that does not rely on moving stimuli but uses fast flashing annuli and wedges. We present data recorded in areas V1 and V6 and show that receptive field locations are readily obtained within a short period of recording time. Thus, the methodological advancements presented in this work will contribute to establish the marmoset as a valuable model in neuroscience.

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Section: Resultssupporting

confidence: 82%

Visual neuroscience methods for marmosets: efficient receptive field mapping and head-free eye tracking

Jendritza

Klein

Rohenkohl

2020

Preprint

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“…Our results confirm that the same biological principles can produce optimal coverage with linear transforms along two dimensions in isotropic cortical areas such as V1 but produce a largely one-dimensional sinusoidal transform in anisotropic areas such as V2. This is consistent with prior work on the influence of area shape and borders on retinotopic mapping (5,20).…”

supporting

confidence: 91%

“…While core principles of uniform coverage and wiring minimization appear to be conserved in retinotopic maps, other traits such as lack of reversals and preservation of orthogonal axes are clearly abandoned. Our results suggest that features of the cortical area, such as its shape, boundaries with adjacent areas, and sequence of development can dramatically alter the nature of the transform and corresponding map layout (5,35). Furthermore, the inherently one-dimensional nature of the sinusoidal transform we observe suggests that cortical surface representations must not be constrained to exactly two dimensions.…”

Section: Figure 4: V1-v2 Connectivity Is Sufficient To Produce Sinusomentioning

confidence: 74%

“…Model methods. We used the elastic net algorithm (3,5), and modified it for the formation of visual field maps in V2. We refer to (5) and our published interactive code for the implementation of this algorithm (https://github.com/msarvestani/sinusoidalTransform), and briefly describe the framework here.…”

Section: Two-photon Imaging Experimentsmentioning

confidence: 99%

“…A strong test of this hypothesis is to ask whether the wiring minimization principles (22) that have been shown to account for optimal coverage with a linear transform in V1, derive optimal coverage with a sinusoidal transform in an area with the elongated shape of V2. To address this issue, we employed the well-established elastic-net model (3,5). V2 is modeled as a sheet with point 'neurons', each with a receptive field (RF) in the visual field (VF).…”

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confidence: 99%

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A sinusoidal transform of the visual field in cortical area V2

Sedigh-Sarvestani

Lee

Satterfield

et al. 2020

Preprint

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The retinotopic maps of many visual cortical areas are thought to follow the fundamental principles that have been described for primary visual cortex (V1) where nearby points on the retina map to nearby points on the surface of V1, and orthogonal axes of the retinal surface are represented along orthogonal axes of the cortical surface. Here we demonstrate a striking departure from this conventional mapping in the secondary visual area (V2) of the tree shrew. Although local retinotopy is preserved, orthogonal axes of the retina are represented along the same axis of the cortical surface, an unexpected geometry explained by an orderly sinusoidal transform of the retinal surface. This sinusoidal topography is ideally suited for achieving uniform coverage in an elongated area like V2, is predicted by mathematical models designed to achieve wiring minimization, and provides a novel explanation for stripe-like patterns of intra-cortical connections and stimulus response properties in V2. Our findings suggest that cortical circuits flexibly implement solutions to sensory surface representation, with dramatic consequences for the large-scale layout of topographic maps.

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Variability of visual field maps in human early extrastriate cortex challenges the canonical model of organization of V2 and V3

Ribeiro

York

Zavitz

et al. 2022

Preprint

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Visual field maps in human early extrastriate areas (V2 and V3) are traditionally thought to form mirror-image representations which surround the primary visual cortex (V1). According to this scheme, V2 and V3 form nearly symmetrical halves with respect to the calcarine sulcus, with the dorsal halves representing the lower contralateral quadrants, and the ventral halves representing the upper contralateral quadrants. This arrangement is considered to be consistent across individuals, and thus predictable with reasonable accuracy using templates. However, data that deviate from this expected pattern have been observed, but mainly treated as artifactual. Here we systematically investigate individual variability in the visual field maps of human early visual cortex using the large-scale 7T Human Connectome Project (HCP) retinotopy dataset. Our results demonstrate substantial and principled inter-individual variability in early visual retinotopy. Visual field representation in the dorsal portions of V2 and V3 were more variable than their ventral counterparts, including substantial departures from the expected mirror-symmetrical patterns. Surprisingly, only one-third of individuals had maps that conformed to the expected pattern. In addition, retinotopic maps in the left hemisphere were more variable than those in the right hemisphere. Our findings challenge the current view that inter-individual variability in early extrastriate cortex is negligible, and that the dorsal portions of V2 and V3 are roughly mirror images of their ventral counterparts.

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A twisted visual field map in the primate cortex predicted by topographic continuity

Cited by 6 publications

References 24 publications

Visual neuroscience methods for marmosets: efficient receptive field mapping and head-free eye tracking

Visual neuroscience methods for marmosets: efficient receptive field mapping and head-free eye tracking

A sinusoidal transform of the visual field in cortical area V2

Variability of visual field maps in human early extrastriate cortex challenges the canonical model of organization of V2 and V3

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