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.

项目摘要：核心 3，行为自动化 工作记忆，即暂时记住多条信息的能力 操纵，几乎是所有认知能力的核心。 旨在全面剖析这种跨多个能力的神经回路机制 该项目的各个部分在概念上是一致的，部分原因是它们都是如此。 涉及经过训练的啮齿动物执行一种基于渐进的决策任务 感官证据的积累因而依赖于工作记忆来产生足够的。 作为这些实验的对象，该核心将扩大现有的高通量大鼠训练规模 由技术人员运营的设施，并针对老鼠进行了改造，这一扩建将使该项目的规模增加五倍。 为此，我们将利用该项目的专业知识。 开发和管理此类复杂任务培训设施的领导者 现有的虚拟现实基础设施、软件和硬件一旦该设施投入运行， 核心将管理它并根据需要解决问题它将开发新的硬件。 以及用于训练装置的软件组件，使技术人员的干预具有可重复性和可重复性 因为鼠标虚拟最关键和最耗时的方面。 训练确保头部固定的动物与球和投影正确对齐 系统，核心将开发一个基于图像配准和 它将开发软件工具和执行器来取代当前的手动对准。 标准化技术人员程序，确保啮齿动物训练的一致性，防止训练 错误、检测硬件故障并监控动物的健康状况。 将通过减少实验室之间动物训练的可变性来提高灵活性和可重复性， 提高数据采集率，解放人员专注于设计和执行 从长远来看，整个神经科学界都将从中受益。 努力，因为将做出软硬件工具和管理协议 这些工具及其文档可供免费使用，使其他研究人员能够 在自己的实验室中引入针对良好控制的认知任务的自动化训练， 提高整个领域行为研究的效率、严谨性和可重复性 神经科学。