Event Dates (Pacific Time):
Friday, October 11, 2019 - 1:00 PM to 5:00 PMRegistration for the event is required.
Attendees are encouraged to travel to Sanford on foot from UCSD or Salk. Limited hosted event parking will be provided at the Sanford Consortium. Please arrive early to ensure a parking spot, as this event is extremely popular. If the hosted parking is full, attendees must self-pay for parking in the Sanford Consortium lot. KIBM is not liable for any parking costs or parking tickets. Alternatively, North Campus and West Campus Connector UCSD shuttles drop off within a block of Sanford Consortium.
The program will be recorded and streamed live the day of the event, and available to watch via the KIBM website in June 2019. The livestream can be viewed on YouTube. Additionally, questions for the Q&A session will be accepted digitally via slido.com (event code L739). KIBM encourages virtual participation!
Sponsored by the Kavli Institute for Brain and Mind
Event Chairs:
Terrence Sejnowski, Salk Institute for Biological Studies
Hava Siegelmann, Defense Advanced Research Projects Agency
Event Sessions
Welcome & Opening Remarks
Fred Gage & Terry Sejnowski, Salk Institute
Reverse engineering human visual intelligence: An intersection of brain science and artificial intelligence
Jim DiCarlo, Massachusetts Institute of Technology
Neural decision making in machines and brains
Matthias Bethge, Eberhard Karls University of Tübingen
Systems neuroscience is about to get bonkers
David Sussillo, Google Brain
Applying AI to study neural circuit mechanisms of social homeostasis in individuals and supraorganismal groups
Kay Tye, Salk Institute
Lifelong learning
Hava Siegelmann, Defense Advanced Research Projects Agency (DARPA)
Using artificial intelligence to better understand the brain
Andrea Banino, DeepMind Technologies
Artificial intelligence meets human intelligence
Terry Sejnowski, Salk Institute
Deep neural networks as a model of human perceptual learning
Aaron Seitz, University of California, Riverside
Introduction to adversarial examples
Ian Goodfellow, Google Brain