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Tutorial on neural systems modeling /

Bibliographic Details
Main Author: Anastasio, Thomas J.
Format: Book
Language:English
Published: Sunderland, Mass. : Sinauer Associates, [2010]
Subjects:
Computational neuroscience.
Neural networks (Neurobiology)
Computersimulation.
Nervennetz.
Neuroinformatik.
Neurowissenschaften.
Neurociencia computacional.
Redes neuronales (Neurobiología)
Neural Networks (Computer)
Computational Biology > methods.
Neurosciences.
Central Nervous System > physiology.
Models, Neurological.
Computer Simulation.
Online Access:Table of contents
Table of contents
Table of Contents:
  • Vectors, matrices, and basic neural computations
  • Recurrent connections and simple neural circuits
  • Forward and recurrent lateral inhibition
  • Covariation learning and auto-associative memory
  • Unsupervised learning and distributed representations
  • Supervised learning and non-uniform representations
  • Reinforcement learning and associative conditioning
  • Information transmission and unsupervised learning
  • Probability estimation and supervised learning
  • Time series learning and nonlinear signal processing
  • Temporal-difference learning and reward prediction
  • Predictor-corrector models and probabilistic inference
  • Simulated evolution and the genetic algorithm
  • Future directions in neural systems modeling.