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Models of Wave Memory

  • Book
  • © 2015

Overview

Authors:
  1. Serguey Kashchenko

    1. P.G. Demidov Yaroslavl State University, Yaroslavl, Russia

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  • Provides valuable content for specialists in oscillatory neural networks
  • Presents a solution to the problem of image comparison and attractor identification
  • Written by experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Morphogenesis (LECTMORPH)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xxviii
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  2. The Model of a Single Neuron

    • Serguey Kashchenko
    Pages 1-28

  3. Model of the Interaction of Neurons

    • Serguey Kashchenko
    Pages 29-50

  4. Model of Wave Propagation in the Ring Neural Structures with Chemical Synapses

    • Serguey Kashchenko
    Pages 51-80

  5. Model of Self-organization of Oscillations in the Ring System of Homogeneous Neural Models

    • Serguey Kashchenko
    Pages 81-102

  6. Model of Adaptation of Neural Ensembles

    • Serguey Kashchenko
    Pages 103-116

  7. Model of the Neural System, Synchronizing the Wave Packets

    • Serguey Kashchenko
    Pages 117-123

  8. Model of the Neural System with Diffusive Interaction of Elements

    • Serguey Kashchenko
    Pages 125-145

  9. Pseudo-correlative Dimension of the Electroencephalogram and Its Relation to the Amount of Short-term Memory of the Human

    • Serguey Kashchenko
    Pages 147-163

  10. Estimates of Differences of Evoked Potentials

    • Serguey Kashchenko
    Pages 165-178

  11. Back Matter

    Pages 179-239
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Keywords

About this book

This monograph examines in detail models of neural systems described by delay-differential equations. Each element of the medium (neuron) is an oscillator that generates, in standalone mode, short impulses also known as spikes. The book discusses models of synaptic interaction between neurons, which lead to complex oscillatory modes in the system. In addition, it presents a solution to the problem of choosing the parameters of interaction in order to obtain attractors with predetermined structure. These attractors are represented as images encoded in the form of autowaves (wave memory). The target audience primarily comprises researchers and experts in the field, but it will also be beneficial for graduate students.

Authors and Affiliations

  • P.G. Demidov Yaroslavl State University, Yaroslavl, Russia

    Serguey Kashchenko

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