Expansion microscopy enables researchers to resolve details down to about 70 nanometers, while 300 nanometers was the previous limit with a conventional microscope. Images of a mouse brain segment enlarged (right) have greater resolution than those acquired using conventional microscopy without water expansion (left). Credit: Ed Boyden, Fei Chen, Paul Tillberg
January 15, 2015 - 5:30 pm
NSF Press Release 15-002 While most efforts to understand the brain focus on new technologies to magnify small anatomical features, engineers at the MIT-based Center for Brains, Minds and Machines have found a way to make brains physically bigger. The technique, which the researchers call expansion microscopy, uses an expandable polymer and water to swell brain tissue to about four and a half times its usual size, so that nanoscale structures...
Using a new technique that allows them to enlarge brain tissue, MIT scientists created these images of neurons in the hippocampus. Image: Fei Chen and Paul Tillberg
January 15, 2015 - 5:30 pm
MIT News has published an article covering the new expansion microscopy technique developed by Prof. Ed Boyden’s lab. MIT team enlarges brain samples, making them easier to image New technique enables nanoscale-resolution microscopy of large biological specimens. Anne Trafton | MIT News Office   “Beginning with the invention of the first microscope in the late 1500s, scientists have been trying to peer into preserved cells and tissues with...
A week at MIT; Workshop on quantitative methods in biology draws diverse undergrads from across the country.
January 13, 2015 - 5:30 pm
Jessica Fujimori | MIT News correspondent MIT News published an article on the annual Quantitative Methods Workshop led by Mandana Sassanfar. Pictured above is Prof. Ellen C. Hildreth with students attending the workshop. “The workshop, sponsored by the Department of Biology and the National Science Foundation-funded Center for Brains, Minds, and Machines, focused on how computer programming can apply to problems in biology and neuroscience.”...
Tejas Dattatraya Kulkarni
January 12, 2015 - 12:45 pm
In September 2014, the Siemens Corporation generously established the CBMM Siemens Graduate Fellowship. This fellowship will provide support, for one academic year, to an MIT graduate student whose research is focused on understanding human intelligence, and which bridges two of the main CBMM disciplines (computer science, cognitive science, and neuroscience.) Proposed research should contribute to CBMM goals of developing a computationally...
Workshop on Learning Theory, Dec. 18-20, 2014, Montevideo, Uruguay
December 18, 2014 - 9:00 am
December, 18-20, 2014
Montevideo, Uruguay
The workshop is part of the triennial Conference on Foundations of Computational Mathematics (FoCM’14) organized by the Society for Foundations of Computational Mathematics hosted by the Universidad de la Republica in Montevideo, Uruguay.
The goal of the...
Task Dependence of Visual Representations
December 9, 2014 - 4:00 pm
Bill Lotter
Circuits for Intelligence – CBMM Thrust 2
Time permitting, Gabriel Kreiman will talk about “Spatiotemporal integration in visual recognition”
December 9, 2014 - 3:00 pm
Harvard University
The Road to Intelligence
December 4, 2014 - 6:00 pm
MIT: McGovern Institute Singleton Auditorium, 46-3002
A panel discussion with Geoffrey E. Hinton, Bob Desimone, Laura Schulz, Josh Tenenbaum and Patrick H Winston...
Prof. Jun Zhang
December 2, 2014 - 9:00 pm
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 think …”) type reasoning in order to plan one’s action or anticipate others’ action. Such reasoning forms the core of strategic analysis in the game-...
December 2, 2014 - 8:00 pm
MIT: McGovern Institute Seminar Room, 46-5193
Scott Linderman (Harvard U.) 
Topic: Discovering interpretable structure in neural spike trains with negative binomial generalized linear models
Abstract: The steady expansion of neural recording capability provides exciting opportunities to discover unexpected patterns and gain new insights into neural computation.  Realizing...
November 18, 2014 - 9:00 pm
Goren Gordon Personal Robots Group Media Lab, MIT
Curiosity is one of the major human drives. Can we model curiosity in biological agents? Can we implement these models in artificial systems? What happens when a curious child meets a curious robot? In this talk I present recent work on the study of curiosity. First, studies of curiosity-driven...
November 11, 2014 - 3:15 pm
TBD
Society for Neuroscience
November 7, 2014 - 5:15 pm
SfN Press Release, 11/7/2014  WASHINGTON, DC — The Society for Neuroscience (SfN) will award the Swartz Prize for Theoretical and Computational Neuroscience to Tomaso Poggio, PhD, of the Massachusetts Institute of Technology. The $25,000 prize, supported by The Swartz Foundation, recognizes an individual who has produced a significant cumulative contribution to theoretical models or computational methods in neuroscience. The award will be...
Tomaso Poggio
November 7, 2014 (All day)
Tomaso Poggio receives Swartz Prize for theoretical and computational neuroscience Director of NSF-funded Center for Brains, Minds and Machines recognized for his work developing computational models of the human visual system The Society for Neuroscience (SfN) will award the Swartz Prize for Theoretical and Computational Neuroscience to Tomaso Poggio of the Massachusetts Institute of Technology (MIT). Poggio is the director of the Center for...
November 4, 2014 - 4:00 pm
Andrew Saxe
Abstract:
Humans and other organisms show an incredibly sophisticated ability to learn about their environments during their lifetimes. This learning is thought to alter the strength of connections between neurons in the brain, but we still do not understand the principles linking synaptic changes...

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