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Introduction to Neural Computation (M-I-T)

(20 Lectures Available)


S# Lecture Course Institute Instructor Discipline
1 1: Course Overview and Ionic Currents (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
2 2: Resistor Capacitor Circuit and Nernst Potential (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
3 3: Resistor Capacitor Neruon Model (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
4 4: Hodgkin-Huxley Model Part 1 (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
5 5: Hodgkin-Huxley Model Part 2 (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
6 6: Dendrites (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
7 7: Synapses (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
8 8: Spike Trains (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
9 9: Receptive Fields (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
10 10: Time Series (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
11 11: Spectral Analysis Part 1 (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
12 12: Spectral Analysis Part 2 (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
13 13: Spectral Analysis Part 3 (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
14 14: Rate Models and Perceptrons (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
15 15: Matrix Operations (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
16 16: Basic Sets (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
17 17: Principal Components Analysis (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
18 18: Recurrent Networks (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
19 19: Neural Integrators (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences
20 20: Hopfield Networks (M-I-T) Introduction to Neural Computation (M-I-T) MIT Prof. Michale Fee, Daniel Zysman Applied Sciences

of 1 20 Lectures Available.