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Introduction to Neural Computation (M-I-T)

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