STPoseNet

STPoseNet

Traditional methods for understanding animal behavior through videos required experimenters to rewatch videos and manually score timing and location of events. This approach is time consuming, and prone to inconsistencies between different scorers. Pose estimation...
ArUco Markers

ArUco Markers

ArUco (“Augmented Reality University of Cordoba”) Markers were developed by Thomas Smith and Trevor Smith in a joint effort with collaborators from the University of Texas at Dallas, West Virginia University, and Case Western Reserve University. These...
NC4gate

NC4gate

Adam Lester and colleagues from the NC4 lab, led by Dr. Manu Madhav at the University of British Columbia, have developed NC4gate, a fully customizable gate system that can be used in behavioral experiments involving rodent mazes (T-maze, Y-maze, radial arm, etc.)....
High-Precision Optical Fiber-Based Lickometer

High-Precision Optical Fiber-Based Lickometer

Artur Silva and colleagues, led by Joaquim Alves Da Silva (Champalimaud Foundation, Lisbon, Portugal), introduce an optical-fiber based lickometer designed to overcome common limitations of other open-source lickometers. These sensors can trigger false readings caused...