Tutorials
Jessy Lauer
Deep Lab Cut: markerless movement analysis made simple
DeepLabCut is an open-source toolbox for markerless animal/human pose estimation achieving human accuracy with little training data. Participants will be walked through project creation, data curation, model training, and analysis. Special emphasis will be placed on current applications, best practices and common pitfalls, as well as what to do next with the data.
Gordon Berman
Behavioral Analysis
This workshop will provide an introduction to an automated method in behavioral analysis — specifically how to go from images or tracking data to a low-dimensional representation of an animal’s stereotyped behaviors. The workshop will begin with a brief lecture that summarizes the state-of-the-art in the field and will conclude with a tutorial where participants can apply one of the methods, behavioral mapping, to data sets.
Ilya Nemenman & Sam Sober
Decoding Spike Trains
This tutorial will provide an introduction for using information theoretic and statistical physics-based methods for analysis of spike trains, such as detecting the scale of temporal features involved in the neural control, detection of multi-neuron synergies, and identification of multi spike patterns that are correlated with (and possibly control) behavior.
