Home Page Spotlights

BMM Summer Course 2017 group photo
Celebrating another exciting year of the BMM Summer Course where we are creating a community of leaders in the Science of Intelligence who are equally knowledgeable in neuroscience, cognitive science, and computer science. (photo of the class of 2017)
Photo of  Prof. Klaus-Robert Müller
On Fri., Nov. 11, 2017, Prof. Klaus-Robert Müller (Technische Universität Berlin) will discuss the topic of ML applications in the sciences, in particular in neuroscience, medicine and physics.
Screenshot of MIT News cover page
MIT News features Tenenbaum Lab research. Related scientific paper was published in Psychological Science, Oct. 17, 2017.
Photo of Prof. Ed Boyden
This award promotes “cross-cutting, interdisciplinary approaches that could potentially create or challenge existing paradigms.”
Figure 1. from scientific article.
Infants make more attempts to achieve a goal when they see adults persist. Science, Sept. 22, 2017
Study finds infants try harder after seeing adults struggle to achieve a goal. by Anne Trafton | MIT News Office
Siemens logo
The 2017 nomination process is underway. The CBMM thrust leaders will nominate student candidates and a nominating committee will then select the 2017 Siemens Fellow. Read more about this wonderful collaboration between CBMM and Siemens Research.
Seeing faces is necessary for face-domain formation [Nature]
From the Livingstone lab, an important result in the requirements for the formation of face domains was just published in Nature Neuroscience.
BMM 2017 Summer Course Google X Fellows
Congratulations to Thomas O'Connell and Kasper Vinken for a successful completion of this year's BMM Summer Course. And a gracious thanks to Google X for enabling Thomas and Kasper's participation.
BMM 2017 Summer Course Hidary Fellow: Heather Kosakowski
Congratulations to Heather Kosakowski for a successful completion of this year's BMM Summer Course. And a gracious thanks to the Hidary Foundation for enabling Heather's participation.
9.523/6.861: Science of Intelligence
9.523/6.861 Science of Intelligence explores the problem of intelligence- its nature, how it is produced by the brain and how it could be replicated in machines -with an approach that integrates computational modeling, neuroscience and cognitive science.
Figure No. 3 from scientific paper.
Crowding is a visual effect suffered by humans, in which an object that can be recognized in isolation can no longer be recognized when other objects, called flankers, are placed close to it. In this work, we study the effect of crowding in artificial...
Screenshot of video player
In this talk, Kevin Murphy summarizes some recent work in his group which is related to visual scene understanding and "grounded" language understanding.
Figure No. 2 from CBMM Memo No. 068 - The Universal Law of Forgetting
"How important are Undergraduate College Academics after graduation? How much do we actually remember after we leave the college classroom, and for how long?..."
Image of brain slices.
Electrodes placed on the scalp could help patients with brain diseases. ... The new, noninvasive approach could make it easier to adapt deep brain stimulation to treat additional disorders, the researchers say.