Behavioral Analysis and Recording

行为分析和记录

• 批准号: 10302204
• 负责人: Paul S Katz
• 金额: $ 11.73万
• 依托单位: UNIVERSITY OF MASSACHUSETTS AMHERST
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-15 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10302204
• 关键词: Address; Affect; Algorithms; Animals; Behavior; Behavioral; Brain; Classification; Complex; Computational algorithm; Control Animal; Cues; Devices; Employee; Eye; Freedom; Genes; Image; Intelligence; Lesion; Machine Learning; Mechanics; Microscope; Modeling; Movement; Nerve Plexus; Nervous system structure; Neurons; Octopus; Odors; Opsin; Oral; Peripheral Nerves; Photoreceptors; Play; Process; Production; Protocols documentation; Role; Sensory; Skeleton; Stimulus; System; Tactile; Testing; Video Recording; Work; behavioral response; connectome; exoskeleton; innovation; innovative technologies; joint mobilization; machine learning algorithm; multimodality; multisensory; novel; nudibranch; olfactory stimulus; optogenetics; predicting response; relating to nervous system; response; tool; visual stimulus

PROJECT 2 SUMMARY/ABSTRACT – Project 2. Behavioral Analysis and Recording This project examines the behavior of nudibranch mollusc Berghia as part of the larger Berghia Brain Project. Careful behavioral analysis is crucial for an understanding of the neural basis of behavior. This project uses innovative approaches to understand how this animal changes its behavior in response to tactile, chemosensory, and visual stimuli. The project uses innovative technology including machine learning to automatically classify behavior, a tracking system that allows the animal to explore an arena while remaining stationary with respect to a microscope objective, and optogenetic stimulation. The questions being addressed are related to the global problems of how a brain interacts with a complex network to produce behavior. In particular, the Project addresses how multimodal sensory information affects behavioral responses.

项目 2 摘要/摘要 – 项目 2. 行为分析和记录 作为更大的 Berghia 大脑项目的一部分，该项目研究了裸鳃类软体动物 Berghia 的行为。 仔细的行为分析对于理解该项目使用的神经基础至关重要。 创新方法来了解这种动物如何改变其行为以响应触觉、化学感应、 该项目使用包括机器学习在内的创新技术来自动分类。 行为，一种跟踪系统，允许动物在保持静止的同时探索竞技场 显微镜物镜和光遗传学刺激所解决的问题与全球有关。 大脑如何与复杂网络相互作用以产生行为的问题。 解决多模态感官信息如何影响行为反应。