Embedded thumbnail for Building and Training Deep Learning Models in PyTorch
Recorded:
Nov 8, 2023
Uploaded:
November 16, 2023
Part of
All Captioned Videos, Computational Tutorials
Speaker(s):
Valmiki Kothare, MIT.
BCS Computational Tutorial Series with Valmiki Kothare, MIT. In this tutorial, we will use deep learning on EEG and EMG mice data to predict sleep stages (Wakefulness, REM, Non-REM). We will walk through an example Jupyter Notebook in which we load...
Embedded thumbnail for CBMM10 Panel: Language and Thought
Recorded:
Oct 7, 2023
Uploaded:
November 6, 2023
Part of
All Captioned Videos, CBMM10
CBMM Speaker(s):
Joshua Tenenbaum, Samuel Gershman, Elizabeth Spelke, Shimon Ullman
Speaker(s):
Ev Fedorenko, Phillip Isola
Is natural language the language of thought? LLMs as models of human language and thought. Are LLMs aligned with neuroscience and with human behavior? What is still missing? Panel Chair: J. Tenenbaum
Panelists: E. Fedorenko, S. Gershman, P....
Embedded thumbnail for CBMM10 Panel: Neuroscience to AI and back again
Recorded:
Oct 7, 2023
Uploaded:
November 6, 2023
Part of
All Captioned Videos, CBMM10
CBMM Speaker(s):
James DiCarlo, Ila Fiete, Nancy Kanwisher, Christof Koch, Gabriel Kreiman
Speaker(s):
Talia Konkle
Review of progress and success stories in understanding visual processing and perception in primates and replicating it in machines. Key open questions. Synergies. Panel Chair: J. DiCarlo
Panelists: I. Fiete, N. Kanwisher, C. Koch, T. Konkle,...
Embedded thumbnail for CBMM10 Panel: Interacting with the physical world
Recorded:
Oct 6, 2023
Uploaded:
November 6, 2023
Part of
All Captioned Videos, CBMM10
CBMM Speaker(s):
Leslie P. Kaelbling, Marc Raibert, Matt Wilson
Speaker(s):
Daniela Rus, Mehrdad Jazayeri
Which aspects of human intelligence require embodiment? Motor control: was it the key for development of human intelligence? Is embodiment necessary for consciousness? Panel Chair: D. Rus
Panelists: M. Jazayeri, L. Kaelbling, M. Raibert, M....
Embedded thumbnail for CBMM10: CBMM after 10 years — the Quest now
Recorded:
Oct 6, 2023
Uploaded:
October 31, 2023
Part of
All Captioned Videos, CBMM10
CBMM Speaker(s):
Tomaso Poggio, Boris Katz, Andrei Barbu, James DiCarlo
Tomaso Poggio,
MIT Boris Katz,
MIT Andrei Barbu,
MIT James DiCarlo, MIT https://cbmm-mit-edu.ezproxy.canberra.edu.au/CBMM10
Embedded thumbnail for CBMM10: Welcome
Recorded:
Oct 6, 2023
Uploaded:
October 31, 2023
Part of
CBMM10
CBMM Speaker(s):
Tomaso Poggio
Speaker(s):
Phil Regalia, Dan Huttenlocher
Tomaso Poggio, CBMM
Phil Regalia, NSF
Dan Huttenlocher, MIT Schwarzman College of Computing https://cbmm-mit-edu.ezproxy.canberra.edu.au/CBMM10
Embedded thumbnail for How do we tell where a sound is coming from?
Recorded:
Oct 17, 2023
Uploaded:
October 17, 2023
Part of
#TeachMeSomething
Speaker(s):
Sagarika Alavilli
#MITTeachMeSomething Sagarika Alavilli, PhD Student, Speech & Hearing, Bioscience and Technology, Harvard University Want to learn more? Where did that sound come from? MIT neuroscientists have developed a computer model that can answer that...
Embedded thumbnail for Can robotics help us understand the brain?
Recorded:
Oct 3, 2023
Uploaded:
October 3, 2023
Part of
All Captioned Videos, #TeachMeSomething
Speaker(s):
Aran Nayebi
#MITTeachMeSomething Aran Nayebi, ICoN Postdoctoral Fellow, MIT Dept. of Brain and Cognitive Sciences Want to learn more? https://teachmesomething-mit-edu.ezproxy.canberra.edu.au/tms/can-robotics-help-us-understand-brain #MITTeachMeSomethingTuesday #MIT #TeachMeSomething #...
Embedded thumbnail for CBMM10 - Christof Koch
Recorded:
Oct 2, 2023
Uploaded:
October 2, 2023
Part of
All Captioned Videos
CBMM Speaker(s):
Christof Koch
Christof Koch, Chief Scientist of the Mindscope Program at the Allen Institute and Chief Scientist of the Tiny Blue Dot Foundation talks about the upcoming CBMM10 Symposium. https://cbmm-mit-edu.ezproxy.canberra.edu.au/CBMM10
Embedded thumbnail for Using Embodied AI to help answer”why” questions in systems neuroscience
Recorded:
Sep 19, 2023
Uploaded:
September 29, 2023
Part of
All Captioned Videos
Speaker(s):
Aran Nayebi
Abstract:   Deep neural networks trained on high-variation tasks ("goals”) have had immense success as predictive models of the human and non-human primate visual pathways. More specifically, a positive relationship has been observed between...

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