behaviorMate: An Intranet of Things approach for adaptable control of behavioral and navigation-based experiments

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 ..., , , # Data from: behaviorMate: An Intranet of Things approach for adaptable control of behavioral and navigation-based experiments

## Date of Data Collection

2022-2023

## Contributors

* Jack Bowler: Department of Neurobiology University of Utah, Salt Lake City, UT
* George Zakka: Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY
* Hyun Choong Yong: Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY
* Wenke Li: Oden Technologies, New York, NY
* Bovey Rao: Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY
* Zhenrui Liao: University of Edinburgh, Edinburgh, United Kingdom
* James Priestley: Brain Mind Institute, École polytechnique fédérale de Lausanne
* Attila Losonczy: Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY

## Overview

This supplementary dataset provides the data used for benchmarking the reliability of behaviorMate's hardware and...