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Modeling Brain Function: The World of Attractor Neural Networks by Daniel J. Amit

Modeling Brain Function: The World of Attractor Neural Networks Daniel J. Amit ebook
Format: pdf
ISBN: 0521361001, 9780521361002
Publisher: Cambridge University Press
Page: 263

By examining the specific effects of these known conditions and diseases, she and her colleagues have been formulating a neural model of adaptive learning. Systems can have multiple attractors of any type; the “energy landscape” of a dynamical system can be plotted as a function of how different initial conditions may ultimately fall into the “basin of attraction” for various attractors. Citation: Kanamaru T, Fujii H, Aihara K (2013) Deformation of Attractor Landscape via Cholinergic Presynaptic Modulations: A Computational Study Using a Phase Neuron Model. Quasi-attractors can also be found in the field of chaotic associative memory in neural networks [16]–[25], in which patterns stored in the network become quasi-attractors and the network exhibits transitive dynamics between stored patterns. Modeling Brain Function: The World of Attractor Neural Networks Daniel J. Polymer Surface Dynamics Reihe: . Modeling Brain Function: The World of Attractor Neural Networks. Www-psych.stanford.edu % The book itself may be ordered directly from Addison-Wesley in the U.S.. Advanced Series in Dynamical Systems 8, World Scientific. These findings suggest that both general models of brain function and autonomous agents ought to include biologically relevant nonlinear, endogenous behavior-initiating mechanisms if they strive to realistically simulate biological brains or Analyzing the structure of behavioral variability may provide evidence for understanding whether the variability is the result of cumulated errors in an imperfectly wired brain (system noise) or whether the variability is under neural control. The present paper combines the psychophysiological approach with the connectionist and neural network models, leading to considerations about the cognitive structure of dreams.