Simons Foundation chevron-down--small Neuroscience FundingFellows-to-FacultySURFiN FellowshipAbout Us Plasticity and the Aging Brain Members All Executive CommitteeOur TeamInvestigatorsFellows to Faculty Brent Doiron, Ph.D. Throughout his research career, Brent Doiron has worked closely with experimental colleagues who work in the electrosensory, olfactory, somatosensory, auditory and visual systems. Read more Laura Driscoll, Ph.D. 2022 Laura Driscoll is a postdoctoral fellow at Stanford University where she works in the lab of David Sussillo and Krishna Shenoy. Read more Shaul Druckmann, Ph.D. Shaul Druckmann’s research focuses on understanding the relationship between neural population dynamics, the information processing performed by the circuit and the underlying structure of a circuit. His work combines approaches from nonlinear dynamics, signal processing and machine learning. Read more Chunyu Ann Duan, Ph.D. 2016 Chunyu Ann Duan is a systems neuroscientist interested in understanding how complex neural dynamics produce cognitive behaviors on the circuit level. She is currently a group leader at Sainsbury Wellcome Centre in London. Read more Dena Dubal, M.D., Ph.D. Dena B. Dubal is a professor of neurology at the University of California, San Francisco (UCSF), and holds an endowed chair in aging and neurodegenerative disease. Read more Lea Duncker, Ph.D. 2022 Lea Duncker is a postdoctoral researcher at Stanford University, where she works with Krishna Shenoy and Scott Linderman. Read more Uri Eden, Ph.D. Uri Eden’s research focuses on developing mathematical and statistical methods to analyze neural spiking activity, integrating methodologies related to model identification, statistical inference, signal processing and stochastic estimation and control. 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
Brent Doiron, Ph.D. Throughout his research career, Brent Doiron has worked closely with experimental colleagues who work in the electrosensory, olfactory, somatosensory, auditory and visual systems. Read more
Laura Driscoll, Ph.D. 2022 Laura Driscoll is a postdoctoral fellow at Stanford University where she works in the lab of David Sussillo and Krishna Shenoy. Read more
Shaul Druckmann, Ph.D. Shaul Druckmann’s research focuses on understanding the relationship between neural population dynamics, the information processing performed by the circuit and the underlying structure of a circuit. His work combines approaches from nonlinear dynamics, signal processing and machine learning. Read more
Chunyu Ann Duan, Ph.D. 2016 Chunyu Ann Duan is a systems neuroscientist interested in understanding how complex neural dynamics produce cognitive behaviors on the circuit level. She is currently a group leader at Sainsbury Wellcome Centre in London. Read more
Dena Dubal, M.D., Ph.D. Dena B. Dubal is a professor of neurology at the University of California, San Francisco (UCSF), and holds an endowed chair in aging and neurodegenerative disease. Read more
Lea Duncker, Ph.D. 2022 Lea Duncker is a postdoctoral researcher at Stanford University, where she works with Krishna Shenoy and Scott Linderman. Read more
Uri Eden, Ph.D. Uri Eden’s research focuses on developing mathematical and statistical methods to analyze neural spiking activity, integrating methodologies related to model identification, statistical inference, signal processing and stochastic estimation and control. Read more