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Abstract

Neural circuits throughout the visual system process features differently depending on where they appear in the visual field. While such location-specific processing exists in retina and in superior colliculus, the dorsal lateral geniculate nucleus (dLGN) is thought to lack this specialization. Here, we show systematic visual field biases in dLGN's representation of spatial frequency, orientation, direction, and temporal frequency. Using axon-localized calcium indicators and widefield imaging, we discovered that dLGN boutons show systematic gradients in feature selectivity across the visual cortex (V1), while its retinal inputs lack such gradients for these features. Selective disruption of V1 feedback to dLGN perturbed gradient structure and magnitude. These results suggest that dLGN circuits transform uniformly distributed retinal feature inputs into spatially-biased representations along with cortical feedback. dLGN feature biases would allow a functional stream to detect ethologically salient visual inputs.

Competing Interest Statement

The authors have declared no competing interest.

Details

1009240
Title
Visual field specializations in mouse dLGN
Publication title
bioRxiv; Cold Spring Harbor
Publication year
2025
Publication date
Jan 3, 2025
Section
New Results
Publisher
Cold Spring Harbor Laboratory Press
Source
BioRxiv
Place of publication
Cold Spring Harbor
Country of publication
United States
University/institution
Cold Spring Harbor Laboratory Press
Publication subject
ISSN
2692-8205
Source type
Working Paper
Language of publication
English
Document type
Working Paper
ProQuest document ID
3151289819
Document URL
https://www.proquest.com/working-papers/visual-field-specializations-mouse-dlgn/docview/3151289819/se-2?accountid=208611
Copyright
© 2025. This article is published under http://creativecommons.org/licenses/by/4.0/ (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-01-04
Database
ProQuest One Academic