[WTI-trainee] WTI Distinguished Speaker Series: Daniel Yamins

[Lafferty, John]

WTI Distinguished Speaker Series: Tuesday, November 29, 2022 – 11:30 AM

William L. Harkness Hall, Room 117



“Beyond ConvNets: Deepening our Computational Understanding of Neural Systems’’



Speaker: Daniel Yamins

Department of Computer Science and Department of Psychology

Stanford University



Abstract:

I will begin by discussing advances in unsupervised learning, and how they spur improvements over older categorization-based convnets as models of primate visual system.  I'll show how these models can be extended to describe the emergence of functional organization throughout the ventral visual pathway, and better allow us to understand the existence (or lack thereof) of multiple visual streams.  I'll also describe recent state-of-the-art approaches to visual scene understanding, which leverage ideas from cognitive science and developmental psychology in building better artificial intelligence.  I'll close with some thoughts about the philosophy of computational neuroscience in the age of AI.



Bio:

Daniel Yamins is a cognitive computational neuroscientist at Stanford University, where he's an assistant professor of Psychology and Computer Science, a faculty scholar at the Wu Tsai Neurosciences Institute, and an affiliate of the Stanford Artificial Intelligence Laboratory.  His research group focuses on reverse engineering the algorithms of the human brain, both to learn both about how our minds work and build more effective artificial intelligence systems.  He is especially interested in how brain circuits for sensory information processing and decision making arise via the optimization of high-performing cortical algorithms for key behavioral tasks. He received his AB and PhD degrees from Harvard University, was a postdoctoral researcher at MIT, and has been a visiting researcher at Princeton University and Los Alamos National Laboratory.  He is a recipient of an NSF Career Award, the James S. McDonnell Foundation award in Understanding Human Cognition, the Sloan Research Fellowship, and is a Simons Foundation Investigator.




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