Neuroscience
Statistics Research Laboratory
The Neuroscience Statistics Research Laboratory focuses on mathematical modeling
of neurophysiologic systems in three areas: development of statistical algorithms
for neural signal processing to study information encoding in the rat hippocampus;
development of statistical methods for analysis of functional magnetic resonance
and optical imaging data; and development of statistical models for the analysis
of human circadian and neuroendocrine rhythms.
Principal Investigator
Faculty
Riccardo Barbieri, Ph.D.
Patrick Purdon, Ph.D.
Postdoctoral Fellows
Gabriela Czanner, Ph.D.
Zhe Chen, Ph.D.
Graduate Students
David Nguyen
Collaborators
Victor Solo, Ph.D.
Loren M. Frank, Ph.D.
Anne Smith, Ph.D.
Alumni
Lakshminarayan "Ram" Srinivasan, Ph.D.
Chris Long, Ph.D.
Uri Eden, Ph.D.
Michael Prerau
Research Areas
Note: For Neural Computation videos, follow the Neural Information Encoding link to videos 2 and 3
For IEEE Transactions on Biomedical
Engineering video click here.
Please send comments or questions to webmaster@neurostat.mgh.harvard.edu