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A sinusoidal transformation of the visual field is the basis for periodic maps in area V2.

Authors :
Sedigh-Sarvestani, Madineh
Lee, Kuo-Sheng
Jaepel, Juliane
Satterfield, Rachel
Shultz, Nicole
Fitzpatrick, David
Source :
Neuron. Dec2021, Vol. 109 Issue 24, p4068-4068. 1p.
Publication Year :
2021

Abstract

Retinotopic maps of many visual areas are thought to follow the fundamental principles described for the 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 mapping in the secondary visual area (V2) of the tree shrew best described as a sinusoidal transformation of the visual field. This sinusoidal topography is ideal for achieving uniform coverage in an elongated area like V2, as predicted by mathematical models designed for wiring minimization, and provides a novel explanation for periodic banded patterns of intra-cortical connections and functional response properties in V2 of tree shrews as well as several other species. Our findings suggest that cortical circuits flexibly implement solutions to sensory surface representation, with dramatic consequences for large-scale cortical organization. • The brain's maps of visual space are thought to preserve the topology of the retina • Maps in tree shrew V2 contradict this expectation, exhibiting a periodic organization • This mapping aligns with periodic patterns of V2 response properties and connections • This suggests that cortical circuits are customized for specific regions of visual space The brain contains multiple maps of visual space that are thought to preserve the 2D spatial relationships established in the retina. Sedigh-Sarvestani et al. discovered a new periodic map structure for visual space in V2 that violates this assumption and reveals an unexpected correspondence with periodic maps of stimulus features. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08966273
Volume :
109
Issue :
24
Database :
Academic Search Index
Journal :
Neuron
Publication Type :
Academic Journal
Accession number :
154083227
Full Text :
https://doi.org/10.1016/j.neuron.2021.09.053