A mechanistic dissection of short and long term spatiotemporal learning in V1

项目摘要 初级视觉皮质(V1)可以学习基于视觉对时空关系进行编码 体验并使用产生的功能记忆来主动预测视觉场景将如何在 时间到了。这演示了实验中局部化的正则皮质功能的表达 可访问区域。我们建议利用现代神经科学的工具来机械地解剖 老鼠的这种能力，总体目标是开发一种描述新大脑皮层如何学习 表示时间信息。这项工作的主要目标是首先了解相似形式的 视觉刺激驱动不同形式的短期和长期可塑性，这些可塑性可以编码空间或 第二，确定所涉及的不同机制。除了他们的直接 与感觉神经生物学、各种精神和神经疾病以及视觉生理学的相关性 我们的实验将解决更广泛的问题，即大脑皮层回路如何学习使用时间关系 要建立世界的预测模型，这个问题的答案仍然是模糊的，因为它对我们的 对大脑的理解。

Project Summary The primary visual cortex (V1) can learn to encode spatiotemporal relationships based on visual experience and uses the resulting functional memory to actively predict how the visual scene will unfold in time. This demonstrates expression of a canonical cortical function localized in an experimentally accessible region. We propose to leverage the tools of modern neuroscience to mechanistically dissect this ability in the mouse, with the overall aim of developing a description of how the neocortex learns to represent temporal information. The primary goals of this work are first to understand how similar forms of visual stimulation drive different forms of short and long-term plasticity that can encode either spatial or temporal information, and second to identify the distinct mechanisms involved. In addition to their direct relevance to sensory neurobiology, various psychiatric and neurological disorders, and visual physiology our experiments will address the wider question of how cortical circuits learn to use temporal relationships to build predictive models of the world, the answer to which remains as murky as it is critical for our understanding of the brain.