The course will provide students a general background in neural systems and behaviour, including an introduction to neuroanatomy, neuroimaging and human neurophysiology (EEG, MEG), higher cognitive functions, network neuroscience, and computational modeling (fall semester), sensory and motor systems, therapeutic neuromodulation, and brain-computer interfaces (BCI) (winter).
The course consists of lectures (each ~120 min) followed by a journal-club discussion, led by graduate students enrolled in the course, each week.
Evaluation:
4 Midterm tests (7.5% each)
2 end of term tests (10% each)
Presentations (35%)
Participation (15%)
Recommended Texts (optional):
Augustine, G. J., Groh, J. M., Huettel, S. A., LaMantia, A-S, White, L. E., & Purves, D.
(Emeritus) (Eds.). (2023). Neuroscience (7th ed.). Oxford University Press.
Kandel, E. R., Schwartz, J. H., Jessell, T. M., Siegelbaum, S. A., & Hudspeth, A. J. (Eds.). (2021).
Principles of Neural Science (6th ed.). McGraw-Hill.
