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.”...
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...
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...
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...
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”
Time permitting, Gabriel Kreiman will talk about “Spatiotemporal integration in visual recognition”
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...
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...
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 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...
November 7, 2014 - 12:00 am
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...
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...
October 28, 2014 - 4:00 pm
MIT: McGovern Institute Singleton Auditorium, 46-3002
Brian Nosek, University of Virginia
Professor in the Department of Psychology and co-founder of Project...
Abstract:
An academic scientist’s professional success depends on publishing.
Publishing norms emphasize novel, positive results. As such, disciplinary incentives encourage design, analysis, and reporting decisions that elicit positive results and ignore negative results.
These incentives inflate...
An academic scientist’s professional success depends on publishing.
Publishing norms emphasize novel, positive results. As such, disciplinary incentives encourage design, analysis, and reporting decisions that elicit positive results and ignore negative results.
These incentives inflate...
October 21, 2014 - 4:00 pm
Dr. Dan Yamins
Abstract:
The ventral visual stream underlies key human visual object recognition abilities. However, neural encoding in the higher areas of the ventral stream remains poorly understood. Here, we describe a modeling approach that yields a quantitatively accurate model of inferior temporal (IT)...
The ventral visual stream underlies key human visual object recognition abilities. However, neural encoding in the higher areas of the ventral stream remains poorly understood. Here, we describe a modeling approach that yields a quantitatively accurate model of inferior temporal (IT)...