Machine Learning in Neuroscience: Fundamentals and Possibilities

Organized by Kristin Branson and Edda “Floh” Thiels

June 26, 11 a.m.–5 p.m. EDT

Click on each session title to reveal its description or download a one-page version of the agenda here.

Session 1: The Fundamentals of Machine Learning
Speakers: Floh Thiels, Sanjoy Dasgupta

Time: 11:00 a.m. – 11:45 a.m. EDT

Session 2: Machine Learning for Automating Analysis of Big Neuroscience Data
Speakers: Kristin Branson, Sebastian Seung, Leila Wehbe, Nicholas Turner

Time: 12:00 p.m. – 1:00 p.m. EDT

Session 3: Machine Learning for Modeling the Brain
Speakers: Andrew Saxe, Kim Stachenfeld

Time: 1:30 p.m. – 2:30 p.m. EDT

Session 4: Machine Learning for Discovering Structure in Data
Speakers: Floh Thiels, Scott Linderman, Srini Turaga

Time: 2:45 p.m. – 3:45 p.m. EDT

Session 5: Panel Discussion for Future Directions of Machine Learning in Neuroscience
Speakers: Kristin Branson, Andrew Saxe, Kim Stachenfeld, Leila Wehbe

Time: 4:00 p.m. – 5:00 p.m. EDT

Data Blitz Sessions

This virtual conference will include short data blitz videos accessible to attendees. These videos feature neuroscientists describing their research applying computer vision to neuroscience problems. The videos are available on demand, so you can watch them throughout the live day or after the conference.

Data blitz videos will be provided by:

Conference Information

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