Computational Neuroscience

Courses: 6.555J, 6.556J

Polina Golland
Eric Grimson

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.