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

V1 中短期和长期时空学习的机制剖析

基本信息

批准号：
10579980
负责人：
Jeffrey Peter Gavornik
金额：
$ 41.25万
依托单位：
BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-03-01 至 2025-02-28
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10579980
关键词：
Animal Model Behavior Behavioral Assay Brain Categories Chemosensitization Code Cognition Dissection Electrophysiology (science)Elements Event Feedback Functional Imaging Goals Hour Image Influentials Information Storage Interneurons Learning Long-Term Potentiation Mediating Memory Mental disorders Modeling Modernization Modification Mus Muscarinic Acetylcholine Receptor Muscarinics Neocortex Neurobiology Neurosciences Ocular Physiology Pattern Perception Photic Stimulation Physiological Physiology Play Probability Process Protocols documentation Rapid screening Receptor Signaling Role Sensory Signal Pathway Signal Transduction Stimulus Structure System Testing Time Training Transition Elements Visual Visual System Work antagonist area striata basal forebrain cholinergic cholinergic neuron cognitive function experience experimental study human model insight memory recall motor control neocortical nervous system disorder neural network neuromechanism predictive modeling response sensory cortex spatiotemporal tool visual information visual stimulus

项目摘要

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.

项目摘要初级视觉皮层（V1）可以学习基于视觉信息对时空关系进行编码。体验，并使用由此产生的功能记忆来积极预测视觉场景将如何展开，时间这证明了在实验性的脑缺血中，可访问区域。我们建议利用现代神经科学的工具，这种能力在老鼠身上，总体目标是描述新皮层如何学会表示时间信息。这项工作的主要目标是首先了解类似形式的视觉刺激驱动不同形式的短期和长期可塑性，可以编码空间或时间信息，其次是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，即皮层回路如何学习使用时间关系建立世界的预测模型，答案仍然是模糊的，因为它对我们的了解大脑。