Movement tracking is a commonly used method to measure locomotion and environmental interaction. It is a highly versatile tool allowing for measurements involving memory and cognition, social interaction, pharmacological effects, anxiety and depression, and much more....
Real-time functional magnetic resonance imaging (rt-fMRI) is an exciting technique that enables real-time data monitoring and neural feedback. However, the current software solutions for this technique are generally limited in terms of analysis and cost. To provide a...
Ann Kennedy, @Antihebbiann, from Northwestern University, contributed this post on a series of tools for joint analysis of behavioral and neural recording data: MARS, MARS-Developer, and BENTO. The Mouse Action Recognition System (MARS) is a Python-based end-to-end...
DeepEthogram (DEG) is a recently developed method for temporal action detection in video recordings. It was developed by Jim Bohnslav and colleagues in Chris Harvey’s lab and is described in this preprint. The general idea of DeepEthogram is to extract relevant...
An evolving set of tools from the labs of Joshua Shaevitz and Mala Murthy at Princeton offers an interesting way to do video analysis in behavioral neuroscience applications. MotionMapper was published in 2014. It works on videos (not poses) and uses image analysis...
