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9.641J / 8.594J Introduction to Neural Networks, Fall 2002

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Author(s)
Seung, H. Sebastian
Alternative Title
Introduction to Neural Networks
Date Issued
December 2002
Abstract
Organization of synaptic connectivity as the basis of neural computation and learning. Single and multilayer perceptrons. Dynamical theories of recurrent networks: amplifiers, attractors, and hybrid computation. Backpropagation and Hebbian learning. Models of perception, motor control, memory, and neural development. Alternate years.
Subjects
synaptic connectivity
computation
learning
multilayer perceptrons
recurrent networks
amplifiers
attractors
hybrid computation
Backpropagation
Hebbian learning
perception
motor control
memory
neural development
9.641J
8.594J
9.641
8.594
Neural networks (Computer science)
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Department of Physics
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