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“This is not a proof that we understand what’s going on,” says Tomaso Poggio, a professor of brain and cognitive sciences at MIT and director of the Center for Brains, Minds, and Machines (CBMM), a multi-institution research consortium funded by the National Science Foundation and headquartered at MIT. “Models are kind of cartoons of reality, especially in biology. So I would be surprised if things turn out to be this simple. But I think it’s strong evidence that we are on the right track.” Indeed, the researchers’ new paper includes a mathematical proof that the particular type of machine-learning system they use, which was intended to offer what Poggio calls a “biologically plausible” model of the nervous system, will inevitably yield intermediary representations that are indifferent to angle of rotation. Poggio, who is also a primary investigator at MIT’s McGovern Institute for Brain Research, is the senior author on a paper describing the new work, which appeared today in the journal Computational Biology. He’s joined on the paper by several other members of both the CBMM and the McGovern Institute: first author Joel Leibo, a researcher at Google DeepMind, who earned his PhD in brain and cognitive sciences from MIT with Poggio as his advisor; Qianli Liao, an MIT graduate student in electrical engineering and computer science; Fabio Anselmi, a postdoc in the IIT@MIT Laboratory for Computational and Statistical Learning, a joint venture of MIT and the Italian Institute of Technology; and Winrich Freiwald, an associate professor at the Rockefeller University. Emergent properties The new paper is “a nice illustration of what we want to do in [CBMM], which is this integration of machine learning and computer science on one hand, neurophysiology on the other, and aspects of human behavior,” Poggio says. “That means not only what algorithms does the brain use, but what are the circuits in the brain that implement these algorithms.” Poggio has long believed that the brain must produce “invariant” representations of faces and other objects, meaning representations that are indifferent to objects’ orientation in space, their distance from the viewer, or their location in the visual field. Magnetic resonance scans of human and monkey brains suggested as much, but in 2010, Freiwald published a study describing the neuroanatomy of macaque monkeys’ face-recognition mechanism in much greater detail.

For the original version including any supplementary images or video, visit https://www.sciencedaily.com/releases/2016/12/161201165323.htm

The triple double was Miami’s first since 2004. http://jackfordhub.boxcrack.net/2016/10/17/helpful-answers-for-down-to-earth-secrets-of-guidance-for-medical-interviewBrown scored 11 points and finished with 11 rebounds and 10 assists for the Hurricanes. The performance capped an emotional day for the guard, whose uncle, Edward Dillard, died earlier Tuesday. ”The game was for him,” Brown said. ”I played every possession like if it was my last.” Brown had nine rebounds in the first half and reached double figures 7:42 into the second half. But Brown didn’t reach double digit scoring until his dunk with 4:34 remaining. examining the facts for astute tactics in job interview helpHis final assist resulted in D.J. Vasiljevic’s 3-pointer with 2:59 left that gave Miami its largest lead at 81-42. Midway through the second half, Brown pleaded for additional playing time with Miami coach Jim Larranaga in his attempts to reach the coveted mark. Miami’s last triple-double came when Anthony King scored 11 points, had 10 rebounds and blocked 13 shots against Florida Atlantic on November 29, 2004.

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