o modeling of epileptic seizures (from abstract network models to detailed biophysical models); o neural implants for seizure suppression (from control/game theoretic analysis to hardware design); o diagnosis of brain disorders, from EEG and other brain signals (Alzheimer’s disease and epilepsy); o graphical models and nonparametric statistical models for analyzing electrophysiological data (e.g., spike sorting and decoding); o principled statistical models for merging different brain imaging modalities (EEG/MEG/fMRI/DTI/single-unit recordings/etc.).
The research is conducted in collaboration with partners at the RIKEN Brain Science Institute, MIT, and MGH/Harvard.
-Bsc degree in engineering, mathematics, or physics. Students with research interests at the interface of electrical engineering and biology are especially encouraged to apply.
Scholarship Deadline: September 1, 2011
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