behaviorMate: An Intranet of Things Approach for Adaptable Control of Behavioral and Navigation-Based Experiments.
behaviorMate: An Intranet of Things Approach for Adaptable Control of Behavioral and Navigation-Based Experiments.
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behaviorMate：一种用于行为和基于导航的实验的适应性控制的物联网方法。
DOI：
10.1101/2023.12.04.569989
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发表时间：
2024
期刊：
影响因子：
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通讯作者：
Losonczy,Attila
中科院分区：
文献类型：
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作者：
Bowler,JohnC;Zakka,George;Yong,HyunChoong;Li,Wenke;Rao,Bovey;Liao,Zhenrui;Priestley,JamesB;Losonczy,Attila
进行行为实验的研究人员通常需要精确控制向受试者传递刺激的时间，并收集随后行为反应的准确时间。此外，研究人员希望对各种多模式线索的呈现方式进行微调控制。BehaviorMate采用“物联网”的方法，使用由硬件和软件组件组成的网络系统来实现这些目标。该系统输出具有集成的时间戳-事件对的文件，然后调查人员可以使用他们自己的分析管道来格式化和处理该文件。我们概述了构成behaviorMate的电子元件和图形用户界面应用程序，以及兼容实验机的机械设计，为读者提供建立自己系统的能力。它支持各种各样的范例，包括面向目标的学习、随机搜寻和上下文切换。我们通过几个已发表的研究和基准测试中的一系列用例来演示BehaviorMate的实用性和可靠性。最后，我们给出了实验验证，展示了不同形式的海马区野外研究。为了验证该方法的有效性和灵活性，分别进行了带麻布带的跑步机和带转轮的虚拟现实范例。以前的解决方案依赖于可能具有较大前期成本的专有系统，或者需要开发定制软件的现有框架。BehaviorMate使用开源软件和灵活的配置系统来缓解这两方面的担忧。BehaviorMate在头部固定成像实验方面有良好的记录，可以很容易地在各种实验情况下用于任务控制。
Investigators conducting behavioral experiments often need precise control over the timing of the delivery of stimuli to subjects and to collect the precise times of the subsequent behavioral responses. Furthermore, investigators want fine-tuned control over how various multi-modal cues are presented. behaviorMate takes an “Intranet of Things” approach, using a networked system of hardware and software components for achieving these goals. The system outputs a file with integrated timestamp-event pairs that investigators can then format and process using their own analysis pipelines. We present an overview of the electronic components and GUI application that make up behaviorMate as well as mechanical designs for compatible experimental rigs to provide the reader with the ability to set up their own system. A wide variety of paradigms are supported, including goal-oriented learning, random foraging, and context switching. We demonstrate behaviorMate’s utility and reliability with a range of use cases from several published studies and benchmark tests. Finally, we present experimental validation demonstrating different modalities of hippocampal place field studies. Both treadmill with burlap belt and virtual reality with running wheel paradigms were performed to confirm the efficacy and flexibility of the approach. Previous solutions rely on proprietary systems that may have large upfront costs or present frameworks that require customized software to be developed. behaviorMate uses open-source software and a flexible configuration system to mitigate both concerns. behaviorMate has a proven record for head-fixed imaging experiments and could be easily adopted for task control in a variety of experimental situations.