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This course explores the organization of synaptic connectivity as the basis of neural computation and learning.

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Massachusetts Institute of Technology

October 13, 2022

UK

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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

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Massachusetts Institute of Technology