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Lectures in Supercomputational Neurosciences

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Cover of 'Lectures in Supercomputational Neurosciences'

Table of Contents

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    Book Overview
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    Chapter 1 Foundations of Neurophysics
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    Chapter 2 Synapses and Neurons: Basic Properties and Their Use in Recognizing Environmental Signals
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    Chapter 3 Structural Characterization of Networks Using the Cat Cortex as an Example
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    Chapter 4 Organization and Function of Complex Cortical Networks
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    Chapter 5 Synchronization Dynamics in Complex Networks
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    Chapter 6 Synchronization Analysis of Neuronal Networks by Means of Recurrence Plots
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    Chapter 7 Lectures in Supercomputational Neurosciences : Dynamics in Complex Brain Networks
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    Chapter 8 A Dynamic Model of the Macrocolumn
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    Chapter 9 Building a Large-Scale Computational Model of a Cortical Neuronal Network
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    Chapter 10 Maintaining Causality in Discrete Time Neuronal Network Simulations
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    Chapter 11 Sequential and Parallel Implementation of Networks
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    Chapter 12 Parametric Studies on Networks of Morris-Lecar Neurons
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    Chapter 13 Traversing Scales: Large Scale Simulation of the Cat Cortex Using Single Neuron Models
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    Chapter 14 Parallel Computation of Large Neuronal Networks with Structured Connectivity
Attention for Chapter 11: Sequential and Parallel Implementation of Networks
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Chapter title
Sequential and Parallel Implementation of Networks
Chapter number 11
Book title
Lectures in Supercomputational Neurosciences
Published in
ADS, January 2007
DOI 10.1007/978-3-540-73159-7_11
Book ISBNs
978-3-54-073158-0, 978-3-54-073159-7
Authors

Werner von Bloh, Bloh, Werner von

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