Computational Neuroscience

Courses: 6.555, 6.803, 6.804

Polina Golland
Eric Grimson
Steve Massaquoi

Computational neuroscience focuses on computational models of brain
activity and development, using a wide variety of measurement
techniques, from cognitive experiments, to EEG, MEG and MRI. Research
in this area builds heavily on control theory and signal
processing. Probability and machine learning often prove useful in
modeling noisy biomedical measurements. The courses in this area
introduce computational models for various brain functions, from motor
control to knowledge representation and cognition.