An introduction to neural networks

An introduction to neural networks /

Approaches networks from a broad neuroscience and cognitive science perspective, with an emphasis on the biology and psychology behind the assumptions of the models, as well as what the models might be used for. Intended for cognitive science and neuroscience students, and also for engineers who wan...

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Bibliographic Details
Main Author: Anderson, James A. (Author)
Format: Book
Language:English
Published: Cambridge, Mass. : MIT Press, ©1995.
Subjects:
Neural networks (Neurobiology)
Neural networks (Computer science)
Neural Networks, Computer
Models, Neurological
Computer Simulation
Nerve Net > physiology
Réseaux neuronaux (Neurobiologie)
Réseaux neuronaux (Informatique)
Simulation par ordinateur.
simulation.
Neuronales Netz
Einführung.
Neurale netwerken.
Inteligencia artificial.
Einführung.
Table of Contents:
  • Properties of Single Neurons
  • Synaptic Integration and Neuron Models
  • Essential Vector Operations
  • Lateral Inhibition and Sensory Processing
  • Simple Matrix Operations
  • The Linear Associator: Background and Foundations
  • The linear Associator: Simulations
  • Early Network Models: The Perceptron
  • Gradient Descent Algorithms
  • Representation of Information
  • Applications of Simple Associators: Concept Formation and Object Motion
  • Energy and Neural Networks: Hopfield Networks and Boltzmann Machines
  • Nearest Neighbor Models
  • Adaptive Maps
  • The BSB Model: A Simple Nonlinear Autoassociative Neural Network
  • Associative Computation
  • Teaching Arithmetic to a Neural Network.

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