Memory, Neuroscience and AI: Zuckerman Institute’s Local Circuits Symposium
How are memories formed, organized, and used to guide behavior? And what can artificial intelligence teach us about how the brain remembers?
Join faculty and early-career researchers from across Columbia for the Local Circuits symposium, exploring the science of memory across biological and artificial systems. Talks will span systems and cognitive neuroscience, machine learning, and theoretical modeling, examining how brain circuits encode and retrieve memories and how AI is helping researchers probe these processes in new ways.
Part of the Zuckerman Institute’s Local Circuits series, this symposium brings together researchers from across the university to spark collaboration around mind, brain, and behavior.
All Columbia ID holders are welcome. Registration is required.
Presented by the Alan Kanzer Center for Cognition and Reasoning
Opening Remarks:
Angela V. Olinto, Provost of the University; Professor of Astronomy and of Physics, Columbia University
Speakers include:
Chris Baldassano, PhD, Associate Professor of Psychology, Columbia University
Christine Denny, PhD, Associate Professor of Clinical Neurobiology (in Psychiatry), Columbia University Irving Medical Center
Stefano Fusi, PhD, Professor of Neuroscience, Principal Investigator in the Zuckerman Institute, Columbia University
Scott Small, MD, Boris and Rose Katz Professor of Neurology, Director of the Alzheimer’s Disease Research Center, Columbia University Irving Medical Center
Kim Stachenfeld, PhD, Senior Research Scientist at Google DeepMind in NYC and Adjunct Assistant Professor at the Center for Theoretical Neuroscience, Columbia University
Richard Zemel, PhD, Trianthe Dakolias Professor of Engineering and Applied Science; Professor of Computer Science; Director of the NSF AI Institute for Artificial and Natural Intelligence (ARNI), Columbia University
Moderator:
Daphna Shohamy, PhD, Kavli Professor of Brain Science; Director of the Zuckerman Institute; Co-director of the Kavli Institute for Brain Science, Columbia University