March 21, 2023 - 4:00 pm
Singleton Auditorium (46-3002)
Chiyuan Zhang, Google
Abstract: Deep learning algorithms are well-known to have a propensity for fitting the training data very well and memorize idiosyncratic properties in the training examples. From a scientific perspective, understanding memorization in deep neural networks shed light on how those models generalize...
headshot of Prof. Leyla Isik
February 7, 2023 - 4:00 pm
Singleton Auditorium (46-3002)
Leyla Isik, Johns Hopkins University
Leyla Isik is the Clare Boothe Luce Assistant Professor in the Department of Cognitive Science at Johns Hopkins University. Her research aims to answer the question of how humans extract complex information using a combination of human neuroimaging, intracranial recordings, machine learning, and...
November 22, 2022 - 4:00 pm
Virtual
Margaret Livingstone, Harvard Medical School
Margaret Livingstone is the Takeda Professor of Neurobiology in the Blavatnik Institute of Neurobiology at Harvard Medical School. Livingstone has long been interested in how tuning properties of individual neurons can be clustered at a gross level in the brain. The lab began by looking at the...
headshot of Winrich Freiwald in a suit.
November 8, 2022 - 4:00 pm
Singleton Auditorium (46-3002)
Prof. Winrich Freiwald, The Rockefeller University
Current understanding of the neural mechanisms of face processing, and the computational principles they employ, is based, primarily, on studies of a set of fMRI-identified face areas inside macaque inferotemporal cortex. These face areas contain very high fractions of face cells, occur at...
headshot of George Konidaris in blue shirt
October 18, 2022 - 4:00 pm
Singleton Auditorium (46-3002)
Prof. George Konidaris, Brown University
Abstract: AI is, at once, an immensely successful field---generating remarkable  ongoing innovation that powers whole industries---and a complete failure. Despite more than 50 years of study, the field has never  settled on a widely accepted, or even well-formulated, definition of its...
Photo of Dr. Demis Hassabis, Founder and CEO of DeepMind
April 5, 2022 - 4:30 pm
Dr. Demis Hassabis, Founder and CEO of DeepMind
The Spring 2022 Brains, Minds, and Machines (BMM) Seminar Series will be hosted in a hybrid format. Please see the information included below regarding attending the event either in-person or watch via live stream.
Abstract: The past decade has seen incredible advances in the field of Artificial...
fruit fly on a tree looking structure setup as an abicus
March 22, 2022 - 2:00 pm
Virtual (Zoom)
Alexander Borst, Max-Planck-Institute of Neurobiology, Martinsried, Germany
This talk will be fully remote via a Zoom Webinar.
Detecting the direction of image motion is important for visual navigation, predator avoidance and prey capture, and thus essential for the survival of all animals that have eyes. However, the direction of motion is not explicitly represented at...
Photo of Prof. Petros Koumoutsakos, Harvard U.
February 22, 2022 - 4:00 pm
Prof. Petros Koumoutsakos, Harvard University
The Spring 2022 Brains, Minds, and Machines (BMM) Seminar Series will be hosted in a hybrid format. Please see the information included below regarding attending the event either in-person or remotely via Zoom connection
Please note, MIT is requiring that all attendees, including MIT COVIDpass...
Photo of Prof. Michale Fee, MIT BCS
December 7, 2021 - 4:00 pm
Singleton Auditorium (46-3002)
Prof. Michale Fee, Department Head & Dorflinger Professor, Dept. Brain and Cognitive Sciences;...
The Fall 2021 Brains, Minds, and Machines (BMM) Seminar Series will be hosted in a hybrid format. Please see the information included below regarding attending the event either in-person or remotely via Zoom connection
Please note, MIT is requiring that all attendees, including MIT COVIDpass users...
Photo of Dr. Andrea E. Martin
November 9, 2021 - 9:00 am
This seminar talk will be hosted remotely via Zoom.
Andrea E. Martin, Lise Meitner Group Leader, Max-Planck Institute for Psycholinguistics Research website:...
This seminar talk will be hosted remotely via Zoom; no in-person attendance.
Hosted by: Sam Gershman
Abstract: Human language is a fundamental biological signal with computational properties that are markedly different than in other perception-action systems: hierarchical relationships between...
Photo of Prof. Daniela Rus and Dr. Ramin Hasani, MIT CSAIL
October 5, 2021 - 4:00 pm
Singleton Auditorium (46-3002)
Prof. Daniela Rus, Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) , Deputy...
The Fall 2021 Brains, Minds, and Machines (BMM) Seminar Series will be hosted in a hybrid format.
Please see the information included below regarding attending the event either in-person or remotely via Zoom connection
Abstract: In this talk, we will discuss the nuts and bolts of the novel...
Photo of Prof. Aude Oliva (MIT CSAIL)
September 21, 2021 - 4:00 pm
Singleton Auditorium (46-3002)
Prof. Aude Oliva, Senior Research Scientist, CSAIL; MIT Director MIT-IBM Watson AI Lab; Director MIT Quest...
Abstract: The human brain is a time machine; We are constantly remembering our past, and projecting ourselves into the future. Capturing the brain’s response as these moments unfold could yield valuable insights into both how the brain works and how to better design human-centered AI systems. In...
Photo of Prof. Ila Fiete (MIT BCS)
September 14, 2021 - 4:00 pm
Singleton Auditorium (46-3002)
Prof. Ila Fiete, MIBR, BCS Dept., MIT
The Fall 2021 Brains, Minds, and Machines (BMM) Seminar Series will be hosted in a hybrid format.
Please see the information included below regarding attending the event either in-person or remotely via Zoom connection
Abstract: Episodic memory involves fragmenting the continuous stream of...
Photo of Guangyu Robert Yang, MIT
June 15, 2021 - 2:00 pm
This seminar talk will be hosted remotely via Zoom.
Guangyu Robert Yang, Dept. of Brain and Cognitive Sciences (BCS),  EECS Dept., Schwarzman College of...
Abstract:  Recurrent Neural Networks (RNNs) trained with machine learning techniques on cognitive tasks have become a widely accepted tool for neuroscientists. In comparison to traditional computational models in neuroscience, RNNs can offer substantial advantages at explaining complex behavior and...
Photo of Prof. Robert D. Nowak
June 8, 2021 - 2:00 pm
This seminar talk will be hosted remotely via Zoom.
Prof. Robert D. Nowak, University of Wisconsin-Madison
Abstract: This talk presents a variational framework to understand the properties of functions learned by neural networks fit to data. The framework is based on total variation semi-norms defined in the Radon domain, which is naturally suited to the analysis of neural activation functions (ridge...

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