Massachusetts Institute of Technology via YouTube Video playlist

MIT 9.40 Introduction to Neural Computation, Spring 2018

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Overview

Instructor: Michale Fee

View the complete course: https://ocw.mit.edu/9-40S18

This course introduces quantitative approaches to understanding brain and cognitive functions.

License: Creative Commons BY-NC-SA

More information at https://ocw.mit.edu/terms

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Videos in this playlist 20

1: Course Overview and Ionic Currents - Intro to Neural Computation
2: Resistor Capacitor Circuit and Nernst Potential - Intro to Neural Computation
3: Resistor Capacitor Neuron Model - Intro to Neural Computation
4: Hodgkin-Huxley Model Part 1 - Intro to Neural Computation
5: Hodgkin-Huxley Model Part 2 - Intro to Neural Computation
6: Dendrites - Intro to Neural Computation
7: Synapses - Intro to Neural Computation
8: Spike Trains - Intro to Neural Computation
9: Receptive Fields - Intro to Neural Computation
10: Time Series - Intro to Neural Computation
11: Spectral Analysis Part 1 - Intro to Neural Computation
12: Spectral Analysis Part 2 - Intro to Neural Computation
13: Spectral Analysis Part 3 - Intro to Neural Computation
14: Rate Models and Perceptrons - Intro to Neural Computation
15: Matrix Operations - Intro to Neural Computation
16: Basis Sets - Intro to Neural Computation
17: Principal Components Analysis_ - Intro to Neural Computation
18: Recurrent Networks - Intro to Neural Computation
19: Neural Integrators - Intro to Neural Computation
20: Hopfield Networks - Intro to Neural Computation

Advantages and disadvantages

Advantages

Free and complete: every lecture is in the playlist, in order.
Watch at 1.5x, skip what you know, rewatch what you don't.
Taught by Massachusetts Institute of Technology, one of the strongest names in its field.
115,099 views, so help and notes are easy to find.
Completely free.
Self-paced: start any time.
A clear syllabus (20 videos) you can see before you start.
Start watching right away, no sign-up.

Disadvantages

No certificate, deadlines or graded work.
Quality and depth vary: check that the playlist is finished before you start.
No certificate.
No graded assignments or feedback.

Some points apply to every course of this kind; see how we rank.

Free

Free: Watch on YouTube, no account needed.
Certificate: None. Code or take notes along to make it stick.

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