OpenSync: An open-source platform for synchronizing multiple measures in neuroscience experiments
The ability to integrate multiple physiological signals and behavioral measures is necessary for understanding the complexity of the brain and behavior. Methods to record and sync data streams in experiments can be complicated, time consuming, and commercial options can be costly. To address this, Moein Razavi and colleagues at Texas A&M developed an open source platform to synchronize multiple measures called OpenSync. This platform can automatically integrate physiological signals (e.g. EEG, galvanic skin response, heart rate), and behavioral data (e.g. eye-tracking, keyboard clicks, joystick responses) for complete data collection in neuroscience experiments. The software can be implemented with a number of other open-source software commonly used in behavioral neuroscience research (e.g. PsychoPy, OpenSesame). To learn more about OpenSync and see validation data, check out Razavi et al. (2022) in the Journal of Neuroscience Methods (also available from arXiv) and their GitHub page to start using OpenSync in your experiments.
This research tool was created by your colleagues. Please acknowledge the Principal Investigator, cite the article in which the tool was described, and include an RRID in the Materials and Methods of your future publications. RRID:SCR_022722