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Heterogeneous Orientation Tuning Across Sub-Regions of Receptive Fields of V1 Neurons in Mice

17 Pages Posted: 7 Feb 2022 Publication Status: Under Review

See all articles by Jiakun Fu

Jiakun Fu

Baylor University - Department of Neuroscience

Konstantin F. Willeke

Tübingen University - Institute for Bioinformatics and Medical Informatics

Pawel A. Pierzchlewicz

Tübingen University - Institute for Bioinformatics and Medical Informatics

Taliah Muhammad

Baylor University - Department of Neuroscience

George H. Denfield

Baylor University - Department of Neuroscience

Fabian Hubert Sinz

Baylor University - Department of Neuroscience

Andreas S. Tolias

Baylor University - Department of Neuroscience

More...

Abstract

A key feature of the responses of V1 neurons is their selectivity for stimulus orientation. Recent work using deep neural predictive models found that the most exciting images (MEIs) for neurons in mouse V1 can exhibit complex spatial structures deviating from Gabor-like filters. This finding suggests that orientation selectivity may not be a stable property across the receptive field. Here, we characterized the spatial profile of orientation tuning and found that it varied up to 90 degrees across sub-regions of the receptive field. Moreover, the more the MEI deviated from Gabor-like stimuli, the more their orientation tuning diverged from a single-peaked tuning function when larger stimuli covering the receptive fields were used. Complex spatial feature selectivity, deviating from Gabor-like receptive fields, seems to be emerge earlier in the visual pathway of mice compared to primates, which could provide a faster, albeit less general, method to extract task-relevant causal variables.

Keywords: orientation, mouse primary visual cortex, deep learning

Suggested Citation

Fu, Jiakun and Willeke, Konstantin F. and Pierzchlewicz, Pawel A. and Muhammad, Taliah and Denfield, George H. and Sinz, Fabian Hubert and Tolias, Andreas S., Heterogeneous Orientation Tuning Across Sub-Regions of Receptive Fields of V1 Neurons in Mice. Available at SSRN: https://ssrn.com/abstract=4029075 or http://dx.doi.org/10.2139/ssrn.4029075
This version of the paper has not been formally peer reviewed.

Jiakun Fu

Baylor University - Department of Neuroscience ( email )

Houston, TX
United States

Konstantin F. Willeke

Tübingen University - Institute for Bioinformatics and Medical Informatics

Tübingen
Germany

Pawel A. Pierzchlewicz

Tübingen University - Institute for Bioinformatics and Medical Informatics ( email )

Tübingen
Germany

Taliah Muhammad

Baylor University - Department of Neuroscience ( email )

Houston, TX
United States

George H. Denfield

Baylor University - Department of Neuroscience ( email )

Houston, TX
United States

Fabian Hubert Sinz

Baylor University - Department of Neuroscience ( email )

Houston, TX
United States

Andreas S. Tolias (Contact Author)

Baylor University - Department of Neuroscience ( email )

Houston, TX
United States

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