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Introduction to Neural Computation (M-I-T)

(20 Lectures Available)

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

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