Simons Foundation chevron-down--small Neuroscience FundingFellows-to-FacultySURFiN FellowshipAbout Us Plasticity and the Aging Brain Members All Executive CommitteeOur TeamInvestigatorsFellows to Faculty Matthew Kaufman, Ph.D. Matthew Kaufman is assistant professor at The University of Chicago, in the Department of Organismal Biology and Anatomy, and the Grossman Institute for Neuroscience, Quantitative Biology, and Human Behavior. Read more Roozbeh Kiani, Ph.D. Roozbeh Kiani’s current research at NYU focuses on how the brain combines various sources of information to commit to a choice, to assign a sense of certainty to the choice, and to update behavioral strategies in a complex environment. Read more Adam Kohn, Ph.D. Adam Kohn’s research focuses on issues of population coding, plasticity and corticocortical communication in the visual cortex. Read more Jonathan Kominsky, Ph.D. Read more Takaki Komiyama, Ph.D. Takaki Komiyama is a professor of neurobiology and neurosciences at the University of California, San Diego. He is also a co-director of the Center for Neural Circuits and Behavior. Read more Aaron Koralek, Ph.D. 2015 Aaron C. Koralek received an A.B. in molecular biology and a certificate in neuroscience from Princeton University in 2006. He received a Ph.D. in neuroscience with a designated emphasis in computational science and engineering from the University of California, Berkeley in 2014… Read more Guillaume Lajoie, Ph.D. Guillaume Lajoie is an applied mathematician interested in the interactions and commonalities of biological and artificial neural computations. His research group works at the intersection of artificial intelligence and neuroscience, developing tools to better understand neural network as well as algorithms for… Read more Previous Page Viewing Page 1 of 33 Page 2 of 33 Page 3 of 33 Page 4 of 33 Page 5 of 33 Page 6 of 33 Page 7 of 33 Page 8 of 33 Page 9 of 33 Page 10 of 33 Page 11 of 33 Page 12 of 33 Page 13 of 33 Page 14 of 33 Page 15 of 33 Page 16 of 33 Page 17 of 33 Page 18 of 33 Page 19 of 33 Page 20 of 33 Page 21 of 33 Page 22 of 33 Page 23 of 33 Page 24 of 33 Page 25 of 33 Page 26 of 33 Page 27 of 33 Page 28 of 33 Page 29 of 33 Page 30 of 33 Page 31 of 33 Page 32 of 33 Page 33 of 33 Page 1 of 33 Page 2 of 33 Page 3 of 33 Page 4 of 33 Page 5 of 33 Page 6 of 33 Page 7 of 33 Page 8 of 33 Page 9 of 33 Page 10 of 33 Page 11 of 33 Page 12 of 33 Page 13 of 33 Page 14 of 33 Page 15 of 33 Page 16 of 33 Page 17 of 33 Page 18 of 33 Page 19 of 33 Page 20 of 33 Page 21 of 33 Page 22 of 33 Page 23 of 33 Page 24 of 33 Page 25 of 33 Page 26 of 33 Page 27 of 33 Page 28 of 33 Page 29 of 33 Page 30 of 33 Page 31 of 33 Page 32 of 33 Page 33 of 33 Next Page
Matthew Kaufman, Ph.D. Matthew Kaufman is assistant professor at The University of Chicago, in the Department of Organismal Biology and Anatomy, and the Grossman Institute for Neuroscience, Quantitative Biology, and Human Behavior. Read more
Roozbeh Kiani, Ph.D. Roozbeh Kiani’s current research at NYU focuses on how the brain combines various sources of information to commit to a choice, to assign a sense of certainty to the choice, and to update behavioral strategies in a complex environment. Read more
Adam Kohn, Ph.D. Adam Kohn’s research focuses on issues of population coding, plasticity and corticocortical communication in the visual cortex. Read more
Takaki Komiyama, Ph.D. Takaki Komiyama is a professor of neurobiology and neurosciences at the University of California, San Diego. He is also a co-director of the Center for Neural Circuits and Behavior. Read more
Aaron Koralek, Ph.D. 2015 Aaron C. Koralek received an A.B. in molecular biology and a certificate in neuroscience from Princeton University in 2006. He received a Ph.D. in neuroscience with a designated emphasis in computational science and engineering from the University of California, Berkeley in 2014… Read more
Guillaume Lajoie, Ph.D. Guillaume Lajoie is an applied mathematician interested in the interactions and commonalities of biological and artificial neural computations. His research group works at the intersection of artificial intelligence and neuroscience, developing tools to better understand neural network as well as algorithms for… Read more
