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Created by:
Last updated:
October 13, 2022
Duration:
Unlimited Duration
FREE
This course includes:
Unlimited Duration
Badge on Completion
Certificate of completion
Unlimited Duration
Description
This course explores the organization of synaptic connectivity as the basis of neural computation and learning.
Perceptrons and dynamical theories of recurrent networks including amplifiers, attractors, and hybrid computation are covered. Additional topics include backpropagation and Hebbian learning, as well as models of perception, motor control, memory, and neural development.
Course Curriculum
- From Spikes to Rates Unlimited
- Lateral Inhibition and Feature Selectivity Unlimited
- Hamiltonian Dynamics Unlimited
- Antisymmetric Networks Unlimited
- Excitatory-Inhibitory Networks Unlimited
- VQ Unlimited
- PCA Unlimited
- Delta Rule Unlimited
- Conditioning Unlimited
- Backpropagation Unlimited
- More Backpropagation Unlimited
About the instructor
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1520
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Massachusetts Institute of Technology
