Webcam-Based Online Eye-Tracking for Behavioral Research

Webcam-Based Online Eye-Tracking for Behavioral Research

Based on the understanding of the “eye-mind hypothesis,” neuroscientists have been utilizing eye-tracking software in their lab settings to collect data for various behavioral studies (more specifically, attention studies). But, with the rapidly changing state of...
DBscorer

DBscorer

The forced swim test (FST) and tail suspension test (TST) are highly validated measures of depressive-like behavior in rodents that have both been used for decades to screen for antidepressant drugs. They have also found use in evaluating the non-motor symptoms of...
MARS, MARS-Developer, and BENTO

MARS, MARS-Developer, and BENTO

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

DeepEthogram

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...
SLEAP, LEAP, and MotionMapper

SLEAP, LEAP, and MotionMapper

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...