Instructive Signals for Motor Learning

运动学习的指导信号

• 批准号: 10597157
• 负责人: Jennifer L Raymond
• 金额: $ 60.01万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2027-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10597157
• 关键词: Adult; Affinity Chromatography; Algorithms; Behavior; Behavioral; Brain; Calcium; Cerebellum; Clinical; Compensation; Development; Dimensions; Environment; Event; Evolution; Eye Movements; Feedback; Fiber; Funding; Gene Expression Profiling; Genes; Housing; Image; In Vitro; Learning; Life; Life Experience; Link; Long-Term Depression; Measures; Modeling; Molecular; Mus; Neurosciences; Performance; Physiology; Process; Purkinje Cells; Reporting; Research; Ribosomes; Role; Sensory; Shapes; Signal Transduction; Structure of purkinje fibers; Synapses; Synaptic plasticity; System; Testing; Time; Translating; Visual; Work; behavior observation; dark rearing; differential expression; experience; experimental study; improved; in vivo; motor learning; nervous system disorder; neural; neural circuit; neuromechanism; novel; oculomotor; response; transcriptome sequencing; visual feedback

PROJECT SUMMARY Meta-learning refers to the ability to learn to learn. Whereas much progress has been made in understanding the neural mechanisms of learning, the neural mechanisms of meta-learning are a mystery. This project will investigate a candidate synaptic mechanism of meta-learning. Using integrated molecular, cellular, systems, and behavioral neuroscience approaches, the proposed research will test the hypothesis that the timing rules governing synaptic plasticity are themselves learned. Preliminary results suggest that the timing rules for associative synaptic plasticity in the cerebellum can be adaptively tuned though experience to solve what theorists have called the temporal credit assignment problem, precisely compensating for delays in the feedback about behavioral errors, so that only synapses that were active around the time that an error was generated undergo weakening during learning. If confirmed, this would represent a new dimension of the algorithms that neural circuits use to tune their own performance through experience, with broad scientific and clinical implications.

项目概要 元学习是指学会学习的能力。尽管在理解方面已经取得了很大进展 学习的神经机制、元学习的神经机制都是一个谜。该项目将 研究元学习的候选突触机制。使用集成的分子、细胞、系统和 行为神经科学方法，拟议的研究将检验时间规则的假设 控制突触可塑性本身就是习得的。初步结果表明，时间规则 小脑中的联想突触可塑性可以通过经验进行适应性调整，以解决什么问题 理论家称之为时间信用分配问题，精确补偿反馈的延迟 关于行为错误，因此只有在生成错误时活跃的突触 学习过程中会受到削弱。如果得到证实，这将代表算法的新维度 神经回路用于通过经验调整自身性能，具有广泛的科学和临床意义 影响。