Computational neurostimulation

Computational neurostimulation

by Bestmann, Sven

Type Book
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Title Statements

  • Full title :Computational neurostimulation / Sven Bestmann ; contributors, Mohamed Aboseria [and eleven others].

Edition Statements

  • Publication Date:©2015
  • Edition:First edition

Publication Statements

  • Publisher(s):Elsevier
  • Place of Publication:Amsterdam, Netherlands
  • Language:eng
  • Publication Date:©2015

Notes

Chapter 8: Computational neurostimulation for Parkinson's disease

The Physical Object

  • Description:1 online resource (328 pages)

Edition Identifiers

  • ISBN:0444635475, 9780444635471, 0444635467, 9780444635464
  • oclc:on1136461053
  • LC Classification:QP388
  • Dewey Decimal:156.23224

Table of Contents

Title page; Table of Contents; Copyright; Contributors; Preface: Computational neurostimulation in basic and translational research; Chapter 1: Modeling sequence and quasi-uniform assumption in computational neurostimulation; Abstract; 1 A Sequential Multistep Modeling Process; 2 Step 1: Forward Models of Current Flow; 3 Step 2: Cellular Response Models of Polarization and the Quasi-Uniform Assumption; 4 Step 3: Information Processing and Network Changes; 5 Step 4: From Network to Behavior; 6 Dealing with Unknowns and Multiscale Approaches

Chapter 2: Multilevel computational models for predicting the cellular effects of noninvasive brain stimulationAbstract; 1 Which Neural Elements Are Excited by Direct Current Stimulation?; 2 Modeling Electrical Stimulation; 3 Quantifying Membrane Polarization; 4 Polarization Profile of a Neuron in a Uniform Electric Field; 5 Cable Theory Formulation; 6 Modeling Biphasic Polarization During DCS in Hodgkin-Huxley-Based Neurons; 7 Axon Terminal Polarization; 8 A Quantitative Framework for Predicting Neuronal Voltage Output; 9 Numerical Methods; 10 Conclusion; Acknowledgment/Conflict of Interest

Chapter 3: Experiments and models of cortical oscill…

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