Embedded thumbnail for Andrew Saxe
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December 10, 2015
Part of
NIPS 2015 Symposium: Brains, Minds and Machines
Hallmarks of Deep Learning in the Brain Anatomically, the brain is deep. To understand the ramifications of depth on learning in the brain requires a clear theory of deep learning. I develop the theory of gradient descent learning in deep linear...
Embedded thumbnail for Gabriel Kreiman
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December 10, 2015
Part of
NIPS 2015 Symposium: Brains, Minds and Machines
The Roles of Recurrent and Feedback Computations in Cortex There are abundant recurrent connections throughout the brain, yet their functional roles remain poorly understood and these connections are notoriously absent in the successful body of work...
Embedded thumbnail for Christof Koch
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December 10, 2015
Part of
NIPS 2015 Symposium: Brains, Minds and Machines
The Neuroscience of Intelligence Yesterday’s scientific research, starting with Hubel and Wiesel’s Nobel-prize winning work on the circuitry underlying visual processing in cortex, gave rise to today’s deep machine learning networks. Likewise, today...
Embedded thumbnail for Tomaso Poggio
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December 10, 2015
Part of
NIPS 2015 Symposium: Brains, Minds and Machines
Today’s Science, Tomorrow’s Engineering The mission of CBMM is to make progress on the greatest problem in science — human intelligence. A new field is emerging bringing together computer scientists, cognitive scientists and neuroscientists to work...
Embedded thumbnail for Solving Global Coordination
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Sep 29, 2015
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September 29, 2015
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All Captioned Videos, CBMM Special Seminars
Speaker(s):
Jaan Tallinn
Jaan Tallinn is an Estonian computer scientist who participated in the development of Skype in 2002 and FastTrack/Kazaa, a file-sharing application, in 2000. He graduated from the University of Tartu in 1996 with a BSc in Theoretical Physics with a...
Embedded thumbnail for Building newborn minds in virtual worlds
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April 28, 2015
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
Prof. Justin Wood, USC Abstract: What are the origins of high-level vision: Is this ability hardwired by genes or learned during development? Although researchers have been wrestling with this question for over a century, progress has been hampered...
Embedded thumbnail for Towards a system-level theory of computation in the visual cortex
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April 14, 2015
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
Prof. Thomas Serre, Brown University Abstract: Perception involves a complex interaction between feedforward (bottom-up) sensory-driven inputs and feedback (top-down) attention and memory-driven processes. A mechanistic understanding of feedforward...
Embedded thumbnail for Computer Vision that is changing our lives
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March 23, 2015
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
Prof. Amnon Shashua, Hebrew University, Co-founder, Chairman & CTO, Mobileye (NYSE:MBLY), OrCam. Brief Biography:
Amnon Shashua holds the Sachs chair in computer science at the Hebrew University. He received his Ph.D. degree in 1993 from...
Embedded thumbnail for The Road to Intelligence
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December 4, 2014
A panel discussion with Geoffrey E. Hinton, Bob Desimone, Laura Schulz, Josh Tenenbaum and Patrick H Winston Chaired by Tomaso Poggio and Shimon Ullman
Embedded thumbnail for Reflexive Theory-of-Mind Reasoning in Games
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December 2, 2014
Prof. Jun Zhang, Department of Psychology and Department of Mathematics University of Michigan, Ann Arbor Theory-of-mind (ToM) is the modeling of mental states (such as belief, desire, knowledge, perception) through recursive (“I think you think I...

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