Behavior Automation

行为自动化

• 批准号: 9983196
• 负责人: Carlos D Brody
• 金额: $ 14.04万
• 依托单位: PRINCETON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-28 至 2022-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9983196
• 关键词: Animals; Area; Automation; Behavior; Behavioral Research; Brain; Communities; Computer Models; Computer software; Consumption; Decision Making; Documentation; Ensure; Failure; Head; Health; Home environment; Hour; Human Resources; Individual; Infrastructure; Instruction; Intervention; Japan; Laboratories; Letters; Manuals; Mind; Monitor; Mus; Neurosciences; Practice Management; Procedures; Process; Protocols documentation; Quality Control; Rattus; Reproducibility; Research; Research Personnel; Research Project Grants; Rodent; Running; Sensory; Short-Term Memory; Software Tools; Standardization; System; Time; Training; base; cognitive ability; cognitive task; cost effective; data acquisition; design; experience; experimental study; image registration; improved; neural circuit; neuromechanism; open source; operation; prevent; scale up; software development; support tools; tool; virtual; virtual reality; virtual reality system

Project Summary: Core 3, Behavior Automation Working memory, the ability to temporarily hold multiple pieces of information in mind for manipulation, is central to virtually all cognitive abilities. This multi-component research project aims to comprehensively dissect the neural circuit mechanisms of this ability across multiple brain areas. The individual parts of the project cohere conceptually, in part, because they all involve rodents trained to perform a type of decision-making task that is based on the gradual accumulation of sensory evidence and thus relies on working memory. To produce enough subjects for these experiments, this Core will scale up an existing high-throughput rat training facility run by technicians and adapt it for mice. This expansion will quintuple the project’s capacity for rodent training. To do so, we will take advantage of the expertise of the project leader in developing and managing such a training facility for sophisticated cognitive tasks in an existing virtual reality infrastructure, software, and hardware. Once this facility is operational, the Core will manage it and troubleshoot problems as needed. It will develop new hardware and software components for training rigs to make technician interventions as reproducible and error-free as possible. Because the most crucial and time-consuming aspect of mouse virtual training is ensuring that the head-fixed animal is properly aligned to the ball and the projection system, the Core will develop an automated alignment system based on image registration and actuators to replace the current manual alignment. It will develop software tools and standardized technician procedures to ensure consistency in rodent training, prevent training errors, detect hardware failures, and monitor the health of the animals. This centralized facility will promote rigor and reproducibility by reducing variability in animal training across labs, increase the rate of data acquisition, and free personnel to focus on designing and carrying out creative experiments. In the long run, the entire neuroscience community will benefit from this effort, as the software and hardware tools and management protocols produced will be made freely available, along with their documentation. These tools will enable other researchers to introduce automated training for well-controlled cognitive tasks in their own laboratories, leading to improved efficiency, rigor, and reproducibility in behavioral research across the field of neuroscience.

项目总结：核心3，行为自动化