Introducing the community to the most cutting-edge methods of data acquisition and analysis through direct training

Questions about past or future workshops?  Contact the Office of Neuroscience Research.

VIRTUAL Open Source Workshop: SimBA

Workshop: July 21, 1-5p CST

Facilitators: Sam Golden and Simon Nilsson (University of Washington)

An open source toolkit for computer classification of complex social behaviors in experimental animals

Open Source Workshops

Facilitators: Meaghan Creed (WashU Psychiatry), Lex Kravitz (WashU Psychiatry), Martha Bagnall (WashU Dept of Neuroscience)

Supported by the Washington University Pain Center, the McDonnell Center for Systems Neuroscience, and the Office of Neuroscience Research.

VIRTUAL B-SOiD: April 2020; follow-up session May 2020

Facilitators: Alexander Hsu and Eric Yttri (Carnegie Mellon U)

An open source unsupervised algorithm for discovery of spontaneous behaviors

Watch B-SOiD overview          Watch B-SOiD depth demonstration


Arduino: Feb 2020

Facilitator: Lex Kravitz (WashU Psychiatry)

Affordable open-source electronics platform with easy-to-use hardware and software

Bonsai: Oct 2019

Facilitator: Meaghan Creed (WashU Anesthesiology)

Visual language for software systems that require rich and rapid interaction with the external world

DeepLabCut™: July 2019

Facilitator: Martha Bagnall (WashU Dept of Neuroscience)

For 3D markerless pose estimation based on transfer learning with deep neural networks

CANCELLED – Application of Machine Learning Tools to OMICs in Neuroscience

Facilitators: Laura Ibañez and Victoria Fernandez (WashU Psychiatry)

Supported by the Chan Zuckerberg Initiative, the Office of Neuroscience Research, the Neurogenomics and Informatics Group, the McDonnell Genome Institute, the Department of Genetics and the WashU Postdoctoral Society (WUPS).

A two-day event including hands-on training and plenary lectures.

April 16-17, 2020

Thursday, April 16

  • Introduction to Big Data and Machine Learning in biological settings, with special focus on supervised methods followed by hands-on specific topics.
  • Invited lecture: Dr. James Zou (Stanford University) (registration not required for lecture)

Friday, April 17

Learn more and register