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

• 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
• 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

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.

项目总结