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Neural Fields

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Cover of 'Neural Fields'

Table of Contents

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    Book Overview
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    Chapter 1 Tutorial on Neural Field Theory
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    Chapter 2 A Personal Account of the Development of the Field Theory of Large-Scale Brain Activity from 1945 Onward
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    Chapter 3 Heaviside World: Excitation and Self-Organization of Neural Fields
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    Chapter 4 Spatiotemporal Pattern Formation in Neural Fields with Linear Adaptation
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    Chapter 5 PDE Methods for Two-Dimensional Neural Fields
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    Chapter 6 Numerical Simulation Scheme of One- and Two Dimensional Neural Fields Involving Space-Dependent Delays
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    Chapter 7 Spots: Breathing, Drifting and Scattering in a Neural Field Model
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    Chapter 8 Heterogeneous Connectivity in Neural Fields: A Stochastic Approach
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    Chapter 9 Stochastic Neural Field Theory
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    Chapter 10 On the Electrodynamics of Neural Networks
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    Chapter 11 Universal Neural Field Computation
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    Chapter 12 A Neural Approach to Cognition Based on Dynamic Field Theory
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    Chapter 13 A Dynamic Neural Field Approach to Natural and Efficient Human-Robot Collaboration
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    Chapter 14 Neural Fields
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    Chapter 15 Equilibrium and Nonequilibrium Phase Transitions in a Continuum Model of an Anesthetized Cortex
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    Chapter 16 Large Scale Brain Networks of Neural Fields
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    Chapter 17 Neural Fields, Masses and Bayesian Modelling
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    Chapter 18 Neural Field Dynamics and the Evolution of the Cerebral Cortex
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Title
Neural Fields
Published by
Springer, Berlin, Heidelberg, January 2014
DOI 10.1007/978-3-642-54593-1
ISBNs
978-3-64-254592-4, 978-3-64-254593-1
Editors

Stephen Coombes, Peter beim Graben, Roland Potthast, James Wright

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Unknown 70 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 20%
Student > Ph. D. Student 12 17%
Student > Master 11 15%
Professor 6 8%
Other 5 7%
Other 12 17%
Unknown 11 15%
Readers by discipline Count As %
Neuroscience 14 20%
Mathematics 10 14%
Physics and Astronomy 7 10%
Engineering 6 8%
Agricultural and Biological Sciences 5 7%
Other 14 20%
Unknown 15 21%