Math: Students should have a solid background in linear algebra and matrix theory. Knowledge of differential equations is also highly recommended for students interested in biophysically-realistic modeling of neural circuits (e.g., compartmental models, Hodgkin-Huxley model, etc). Less so for students interested in higher level modeling.

Relevant courses include:

• Statistics and probability background
• Computer science: Students should have some programming knowledge in Matlab and/or python and C.