May 25, 2018 - 9:00 am
The Annual CBMM Retreat will be held on Friday, May 25th, 2018, at the McGovern Institute for Brain Research at MIT. This event is an important opportunity for the CBMM Community to come together, present current research and discuss ongoing and/or potential collaborations. The annual retreat is...
Photo of Prof. Alexander (Sasha) Rakhlin
May 18, 2018 - 4:00 pm
 Prof. Sasha Rakhlin
Please note change in date, talk was rescheduled from April 6th to May 18th.
May 11, 2018 - 4:00 pm
Prof. Nancy Lynch, MIT CSAIL
Title: An Algorithmic Theory of Brain Networks
This talk will describe my recent work with Cameron Musco and Merav Parter, on studying neural networks from the perspective of the field of Distributed Algorithms.   In our project, we aim both to obtain interesting, elegant theoretical results, and...
John Shlens
May 4, 2018 - 2:00 pm
Jon Shlens, Google Brain
Abstract:
Recent advances in machine learning have profoundly influenced our study of computer vision. Successes in this field have demonstrated the expressive power of learning representations directly from visual imagery — both in terms of practical utility and unexpected expressive abilities. In...
April 20, 2018 - 4:00 pm
Phil Nelson, Google Research | Google Accelerated Science team
Abstract: Google Accelerated Sciences is a translational research team that brings Google's technological expertise to the scientific community.  Recent advances in machine learning have delivered incredible results in consumer applications (e.g. photo recognition, language translation), and is now...
Photo of Prof. Mikhail Belkin, Ohio State University
April 18, 2018 - 2:00 pm
Mikhail Belkin, Ohio State University
Abstract:
A striking feature of modern supervised machine learning is its pervasive over-parametrization. Deep networks contain millions of parameters, often exceeding the number of data points by orders of magnitude. These networks are trained to nearly interpolate the data by driving the training...
Photo of Dr. Christof Koch
April 13, 2018 - 4:30 pm
Christof Koch, CBMM EAC member, Allen Institute for Brain Science
Abstract:
Rapid advances in convolutional networks and other machine learning techniques, in combination with large data bases and the relentless hardware advances due to Moore’s Law, have brought us closer to the day when we will be able to have extended conversations with programmable systems,...
Photo of Prof. Marge Livingstone
April 12, 2018 - 4:30 pm
Marge Livingstone, CBMM, Harvard Medical
Host: Tomaso Poggio
This talk is open to the CBMM Community only
Image from BMM Course on MIT Open Course Ware (MIT OCW.)
April 4, 2018 - 11:15 am
We're very excited to announce the publication of the Brains, Minds, and Machines Summer Course on MIT OpenCourseWare!
Preparing this course to be released on OCW was a large task which required the help of many individuals. Thank you to everyone who contributed to the summer course, in ways large and small, and helped us to share this experience with the world through OCW!
Enjoy!Ellen Hildreth, CBMM Coordinator for Education
 
Course...
Photo of Prof. Ed Boyden
March 27, 2018 - 11:45 am
"MIT scientist among three recognized for the discovery of optogenetics
by Julie Pryor
Ed Boyden, the Y. Eva Tan Professor in Neurotechnology at MIT, has been named a recipient of the 2018 Canada Gairdner International Award — Canada’s most prestigious scientific prize — for his role in the discovery of light-gated ion channels and optogenetics, a technology to control brain activity with light.
Boyden’s work has given neuroscientists the...
Photo of Prof. Josh McDermott
March 23, 2018 - 4:00 pm
Prof. Josh McDermott
Please note room change. This meeting will be held in the McGover Reading Room Room #46-5165.
Sestri Levanti photo
March 19, 2018 - 3:15 pm
We are glad to announce that registrations are open for the:
Regularization Methods for Machine Learning Course (RegML)
to be held 18 June - 22 June 2018, Genova Italy, in the heart of the Italian Riviera.
RegML is a 22 hours advanced machine learning course including theory classes and practical laboratory sessions. The course covers foundations as well as recent advances in Machine Learning with emphasis on high dimensional data and a core set...
An MRI scan of the brain.
March 12, 2018 - 11:45 am
"Children as young as 3 have brain network devoted to interpreting thoughts of other people.
by Anne Trafton
Humans use an ability known as theory of mind every time they make inferences about someone else’s mental state — what the other person believes, what they want, or why they are feeling happy, angry, or scared.
Behavioral studies have suggested that children begin succeeding at a key measure of this ability, known as the false-belief task...