DeepLabCut

Modern Approaches to Behavioural Analysis

The goal of neuroscience is to understand how the nervous system controls behaviour, not only in the simplified environments of the lab, but also in the natural environments for which nervous systems evolved. In pursuing this goal, neuroscience research is supported by an ever-larger toolbox, ranging from optogenetics to connectomics. However, often these tools are coupled with reductionist approaches for linking nervous systems and behaviour. This course will introduce advanced techniques for measuring and analysing behaviour, as well as three fundamental principles as necessary to understanding biological behaviour: (1) morphology and environment; (2) action-perception closed loops and purpose; and (3) individuality and historical contingencies [1]. [1] Gomez-Marin, A., & Ghazanfar, A. A. (2019). The life of behavior. Neuron, 104(1), 25-36

Action recognition and kinematic analysis with DeepLabCut

The DeepLabCut Model Zoo: development of pretrained animal pose estimation models for neuroscience

Effects of stroboscopic visual training on TUG and 6MWT performances in subjects with incomplete spinal cord injury evaluated using DeepLabCut markerless pose estimation system

Multi-animal pose estimation, identification and tracking with DeepLabCut

A computational analysis of second-order conditioning in mice using DeepLabCut

FENS Forum 2024

DeepLabCut 3.0: Efficient deep learning for single and multi-animal pose tracking and identification

FENS Forum 2024