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描绘小鼠上丘对自然电影的神经元反应。

Characterize neuronal responses to natural movies in the mouse superior colliculus.

作者信息

Li Ya-Tang

机构信息

Chinese Institute for Brain Research, Beijing, China.

出版信息

Front Cell Neurosci. 2025 Mar 11;19:1558504. doi: 10.3389/fncel.2025.1558504. eCollection 2025.

Abstract

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.

摘要

虽然人工刺激在视觉神经科学中已被广泛使用,并极大地推动了我们对视觉处理的理解,但它们与动物在野外遇到的自然场景有很大不同。自然刺激如何在上丘(SC)中编码,以及神经元对人工刺激和自然刺激的反应如何相关,仍然知之甚少。在这里,我应用双光子钙成像来记录小鼠浅层SC中神经元对自然电影的反应活动。一种无监督学习算法根据记录的神经元的反应模式将它们分为16个簇。每个簇都表现出独特的时间特征,这是由感受野覆盖范围的差异以及神经元编码局部视觉特征的方式不同所导致的。有趣的是,我发现神经元对自然电影的反应与先前使用人工刺激所表征的功能特性之间存在很强的相关性。这表明SC维持了视觉信息的稳定神经表征,这在很大程度上独立于视觉刺激的类型。此外,神经元对自然电影的反应在浅层SC内的深度以及跨基因定义的神经元类型中有所不同。这些发现弥合了我们对人工刺激和自然刺激反应理解之间的差距,为SC中的视觉处理提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d58c/11933010/54489b48b02a/fncel-19-1558504-g0001.jpg

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