Advancements in machine learning methods for video analysis have been a crucial development for understanding the neural underpinnings of freely-moving behaviors. Many of these methods emphasize pose estimation and tracking, but options for classifying specific...
Andre Spence and colleagues developed a closed-loop platform for studying locomotor behavior on treadmills. This tool is among several useful methods for studying locomotor behavior that is available from the Spence Lab at Temple University. The platform allowing for...
Raspberry Rat is a Python platform for recording, converting, and uploading videos to the cloud and for performing scheduled video recordings. It was developed by Hannah Lapp from the Champagne lab at UT Austin. This repository also includes a detailed wiki with a...
Mouse Behavioral Analysis Toolbox, MouBeAT, Mouse Behavioral Analysis Toolbox, was posted to GitHub in 2018 by Elísabet Bello-Arroyo, Helio Roque and colleagues from Centro Nacional de Investigaciones Cardiovasculares (CNIC). The open source toolbox uses ImageJ macro...
In vivo electrophysiology experiments are widely used in neuroscience to investigate brain activity, yet setups can be expensive with multiple subjects. Eyal Kimchi and colleagues developed OpBox, an open-source in-vivo electrophysiology hardware and software package....
