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)...
October 14, 2014 - 5:15 pm
Prof. Tomaso Poggio was quoted in a recent Science article:
Helping robots see the big picture:
A computational approach called deep learning has transformed machine vision
By John Bohannon,
Science, October 10, 2014 • VOL 346 ISSUE 6206
“We have a long way to go before machines can see as well as humans,” says Tomaso Poggio, who studies both machine and biological vision at the Massachusetts Institute of Technology in Cambridge.
The U.S....
October 14, 2014 - 4:00 pm
Ilker Yildirim and Tejas Kulkarni
Research Thrust: Development of Intelligence, CBMM Thrust 1
Abstract:
In recent years, there has been remarkable progress in the field of Computational Vision due to powerful feed-forward architectures that build classifiers for individual scene elements and learn features automatically from data....
Abstract:
In recent years, there has been remarkable progress in the field of Computational Vision due to powerful feed-forward architectures that build classifiers for individual scene elements and learn features automatically from data....
October 14, 2014 - 3:15 pm
MIT: McGovern Institute Seminar Room, 46-5193
Agenda: TBD
October 10, 2014 - 5:15 pm
by JAMES GORMAN
September 30, 2014
The New York Times today covered the White House’s continuing commitment to and update on the Brain Initiative:
“The Obama administration plans to announce Tuesday that it has recruited new federal agencies and a number of universities, foundations and businesses to help pursue the goals of the Brain Initiative, which the president started in 2013.
Tom Kalil, deputy director for technology and...
October 7, 2014 - 4:00 pm
Dr. Carlo Ciliberto, LCSL MIT
CBMM Thrust 5 – Theories for Intelligence
For more information regarding the iCub, please visit http://www.icub.org/
For more information regarding the iCub, please visit http://www.icub.org/
October 7, 2014 - 3:15 pm
Agenda:
Organizing the IBM visit event
Arranging the forthcoming CBMM Thrust talks.
Organizing the IBM visit event
Arranging the forthcoming CBMM Thrust talks.
October 3, 2014 - 5:15 pm
A neural portrait of the human mind.
TED2014, Filmed Mar 2014
Brain imaging pioneer Nancy Kanwisher, who uses fMRI scans to see activity in brain regions (often her own), shares what she and her colleagues have learned: The brain is made up of both highly specialized components and general-purpose “machinery.” Another surprise: There’s so much left to learn.
Click here to see video on TED2014 website >
October 3, 2014 - 5:15 pm
Prof. Nancy Kanwisher has created a great website, entitled “Nancy’s Brain Talks“, with short educational videos demonstrating a variety of scientific methods employed by neuroscientists.
Videos cover a wide array of topics, including:
What Kinds of Minds and Brains Do We Have?
How Can You Study the Human Mind and Brain
Face Perception
fMRI: Imaging of the Human Brain at Work
Viewers do not need any background in neuroscience to understand the...
September 30, 2014 - 4:00 pm
MIT: McGovern Institute Singleton Auditorium, 46-3002
Tom M. Mitchell: E. Fredkin University Professor and Chair of the Machine Learning Department, School of...
Abstract:
How does the human brain use neural activity to create and represent meanings of words, sentences and stories? One way to study this question is to give people text to read, while scanning their brain, then develop machine learning methods to discover the mapping between language...
How does the human brain use neural activity to create and represent meanings of words, sentences and stories? One way to study this question is to give people text to read, while scanning their brain, then develop machine learning methods to discover the mapping between language...
September 23, 2014 - 4:00 pm
MIT: McGovern Institute Singleton Auditorium, 46-3002
Dr. Christof Koch, Chief Scientific Officer - Allen Institute for Brain Science
Abstract:
The science of consciousness has made great strides by focusing on the behavioral and neuronal correlates of experience. However, such correlates are not enough if we are to understand even basic facts, for example, why the cerebral cortex gives rise to consciousness but the cerebellum...
The science of consciousness has made great strides by focusing on the behavioral and neuronal correlates of experience. However, such correlates are not enough if we are to understand even basic facts, for example, why the cerebral cortex gives rise to consciousness but the cerebellum...
September 16, 2014 - 4:00 pm
Prof. Shimon Ullman
Abstract:
The human visual system makes highly effective use of limited information: it can recognize not only objects, but severely reduced sub-configurations in terms of size or resolution. Minimal images are useful for the interpretation of complex scenes but they are also challenging because by...
The human visual system makes highly effective use of limited information: it can recognize not only objects, but severely reduced sub-configurations in terms of size or resolution. Minimal images are useful for the interpretation of complex scenes but they are also challenging because by...
September 16, 2014 - 3:00 pm
Open to: CBMM postdocs, CBMM graduate students
Agenda:
Co-organizing the CBMM meetings
Topics for CBMM Postdoc Meetings
Agenda:
Co-organizing the CBMM meetings
Topics for CBMM Postdoc Meetings
September 9, 2014 - 4:00 pm
Meeting Notes:
Admin
● New (?) members
● 25 postdocs (affiliated or participating)
○ announce in labs/PIs
● Mailing List
● Separate grad student list (use both lists for postdoc meetings)
● Meetings: 1 meeting every 3 weeks (MIT or Harvard)
Topics
● Organization for this year (Content)
● Role of...
Admin
● New (?) members
● 25 postdocs (affiliated or participating)
○ announce in labs/PIs
● Mailing List
● Separate grad student list (use both lists for postdoc meetings)
● Meetings: 1 meeting every 3 weeks (MIT or Harvard)
Topics
● Organization for this year (Content)
● Role of...