MIT 9.13 The Human Brain, Spring 2019
This course covers elementary discrete mathematics for science and engineering, with a focus on mathematical tools and proof techniques useful in computer science. Topics include logical notation, sets, relations, elementary graph theory, state machines and invariants, induction and proofs by contradiction, recurrences, asymptotic notation, elementary analysis of algorithms, elementary number theory and cryptography, permutations and combinations, counting tools, and discrete probability.
- 1. Introduction to the Human Brain
- 2. Neuroanatomy
- 4. Cognitive Neuroscience Methods I
- 5. Cognitive Neuroscience Methods II
- 6. Introduction to the Human Brain
- 7. Category Selectivity, Controversies, and MVPA
- 8. Navigation I
- 9. Navigation II
- 10. Development, Nature & Nurture I
- 11. Development, Nature & Nurture II (2018)
- 13. Number
- 15. Hearing and Speech
- 16. Music
- 18. Language I
- 20. Theory of Mind & Mentalizing
- 21. Brain Networks
- 24. Attention and Awareness