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ORIGINAL RESEARCH article

Front. Cell. Neurosci.

Sec. Cellular Neurophysiology

Volume 19 - 2025 | doi: 10.3389/fncel.2025.1558504

This article is part of the Research Topic Retinal output and the retino-recipient centers View all articles

Characterize Neuronal Responses to Natural Movies in the Mouse Superior Colliculus

Provisionally accepted
  • 1 Chinese Institute for Brain Research, Beijing (CIBR), Beijing, China
  • 2 California Institute of Technology, Pasadena, California, United States

The final, formatted version of the article will be published soon.

    While artificial stimuli have been widely used in visual neuroscience and have significantly advanced our understanding of visual processing, they differ dramatically from the natural scenes that animals encounter in the wild. How natural stimuli are encoded in the superior colliculus (SC) and how neuronal responses to artificial and natural stimuli are related remain poorly understood. Here I applied two-photon calcium imaging to record neuronal activity in the mouse superficial SC in response to natural movies. An unsupervised learning algorithm grouped recorded neurons into 16 clusters based on their response patterns. Each cluster exhibited distinct temporal profiles, which arose from differences in both receptive field coverage and how neurons encode local visual features. Interestingly, I found a strong correlation between neuronal responses to natural movies and functional properties previously characterized using artificial stimuli. This suggests that the SC maintains a stable neural representation of visual information that is largely independent of the types of visual stimuli. Furthermore, neuronal responses to natural movies varied with depth within the superficial SC and across genetically defined neuronal types. These findings bridge the gap between our understanding of responses to artificial and natural stimuli, providing new insights into visual processing in the SC.

    Keywords: superior collicullus, two-photon calcium imaging, natural movies, Visual Processing, Neural Encoding, unsupervised clustering

    Received: 10 Jan 2025; Accepted: 17 Feb 2025.

    Copyright: © 2025 Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Ya-tang Li, Chinese Institute for Brain Research, Beijing (CIBR), Beijing, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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