January 30, 2020
In a recent preprint, Jai Bhagat, Miles J. Wells and colleagues shared a toolbox, developed by Christopher Burgess, for streamlining behavioral neuroscience experiments.
In behavioral neuroscience, it’s important to keep track of both behavioral data and neural data, and have it done so in a way that makes analysis simpler later on. One of the best ways to achieve this is by having a centralized system for running behavioral and neural recording software while streaming all the data. To address this, Burgess and team developed Rigbox, a high-performance, open-source software toolbox that facilitates a modular approach to designing experiments. Rigbox runs in MATLAB (with some Java and C for network communication and processing speed improvements), and its main submodule, Signals, allows intuitive programming of behavioral tasks. While it was originally developed for behavioral analysis from mice in a steering wheel driven task, the authors show its feasibility for human behavioral tasks (psychophysics & pong game), highlighting the broad array of ways this toolbox can be used in neuroscience.
For more, check out the full preprint!
Or jump right in on Github.