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Course9.4020 lectures24 h 34 min

Introduction to Neural Computation

Prof. Michale Fee and Daniel Zysman · Massachusetts Institute of Technology

Start with lecture 1 At MIT OpenCourseWare

About

This course introduces quantitative approaches to understanding brain and cognitive functions. Topics include mathematical description of neurons, the response of neurons to sensory stimuli, simple neuronal networks, statistical inference and decision making. It also covers foundational quantitative tools of data analysis in neuroscience: correlation, convolution, spectral analysis, principal components analysis, and mathematical concepts including simple differential equations and linear algebra.

Lectures

Lecture Videos

  1. 1. Overview and Ionic Currents 1 h 11 min · Video
  2. 2. RC Circuit and Nernst Potential 1 h 20 min · Video
  3. 3. Nernst Potential and Integrate and Fire Models 1 h 7 min · Video
  4. 4. Hodgkin-Huxley Model Part 1 1 h 15 min · Video
  5. 5. Hodgkin-Huxley Model Part 2 1 h 19 min · Video
  6. 6. Dendrites 1 h 7 min · Video
  7. 7. Synapses 1 h 19 min · Video
  8. 8. Spike Trains 57 min · Video
  9. 9. Receptive Fields 1 h 18 min · Video
  10. 10. Time Series 1 h 19 min · Video
  11. 11. Spectral Analysis Part 1 1 h 18 min · Video
  12. 12. Spectral Analysis Part 2 1 h 13 min · Video
  13. 13. Spectral Analysis Part 3 1 h 9 min · Video
  14. 14. Rate Models and Perceptrons 1 h 16 min · Video
  15. 15. Matrix Operations 1 h 18 min · Video
  16. 16. Basis Sets 1 h 13 min · Video
  17. 17. Principal Components Analysis​ 1 h 22 min · Video
  18. 18. Recurrent Networks 1 h 20 min · Video
  19. 19. Neural Integrators 1 h 8 min · Video
  20. 20. Hopfield Networks 1 h 14 min · Video

Syllabus and materials

At MIT OpenCourseWare, as the course publishes them.

Credits and licence

Institution
Massachusetts Institute of Technology
Department
Brain and Cognitive Sciences
Taught by
Prof. Michale Fee, Daniel Zysman
Term
Spring 2018
Level
Undergraduate
Language
English
Subjects
Biology, Medicine and health, Engineering, Psychology and the brain
Source
MIT OpenCourseWare
Licence
CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only. MIT OpenCourseWare's terms
Attribution
Prof. Michale Fee, Daniel Zysman. Introduction to Neural Computation. Spring 2018. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
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