Syncing electrophysiological data with experiment relevant timestamps is crucial for making any meaningful sense of what the ~3 pound organ between our ears is up to. To address this, a group of graduate students from the University of Florida Biomedical...
; Timothy H Murphy and colleagues from the Kinsmen Laboratory of Neurological Research and University of BritishColumbia, have developed, shared, and validated a homecage platform for automated task training and mesoscale brain imaging for mice....
Jonathan Krynitsky and colleagues from the Kravitz lab at Washington University have constructed and shared RAT, a closed loop system for machine vision rodent tracking and task control. The Rodent Arena Tracker, or RAT, is a low cost wireless position tracker for...
Jonny Saunders from Michael Wehr’s lab at the University of Oregon recently posted a preprint documenting their project Autopilot, which is a python framework for running behavioral experiments: Autopilot is a python framework for behavioral experiments through...
Carlos Ribeiro’s lab at Champalimaud recently published their new project called optoPAD in eLife: Both the analysis of behavior and of neural activity need to be time-precise in order to make any correlation or comparison to each other. The analysis of behavior can...
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