Lectures in supercomputational neuroscience : dynamics in complex brain networks / Peter beim Graben ... [and others], (eds.).

Format:

Book

Contributor:

Beim Graben, P. (Peter), 1964-

Series:

Springer complexity

Understanding complex systems

Language:

English

Subjects (All):

Computational neuroscience.

Brain--Research--Data processing.

Brain.

Biophysics.

Computational Biology.

Models, Neurological.

Brain--Research.

Medical Subjects:

Computational Biology.

Models, Neurological.

Physical Description:

x, 375 pages : illustrations (partly color) ; 24 cm.

Place of Publication:

Berlin ; New York : Springer, 2008.

Summary:

Computational Neuroscience is a burgeoning field of research where only the combined effort of neuroscientists, biologists, psychologists, physicists, mathematicians, computer scientists, engineers and other specialists, e.g. from linguistics and medicine, seem to be able to expand the limits of our knowledge.

The present volume is an introduction, largely from the physicists' perspective, to the subject matter with in-depth contributions by system neuroscientists. A conceptual model for complex networks of neurons is introduced that incorporates many important features of the real brain, such as various types of neurons, various brain areas, inhibitory and excitatory coupling and the plasticity of the network. The computational implementation on supercomputers, which is introduced and discussed in detail in this book, will enable the readers to modify and adapt the algortihm for their own research. Worked-out examples of applications are presented for networks of Morris-Lecar neurons to model the cortical connections of a cat's brain, supported with data from experimental studies.

This book is particularly suited for graduate students and nonspecialists from related fields with a general science background, looking for a substantial but "hands-on" introduction to the subject matter.

Contents:

Part I Neurophysiology

1 Foundations of Neurophysics / Peter beim Graben 3

2 Synapses and Neurons: Basic Properties and Their Use in Recognizing Environmental Signals / Henry D. I. Abarbanel, Julie S. Haas, Sachin S. Talathi 49

Part II Complex Networks

3 Structural Characterization of Networks Using the Cat Cortex as an Example / Gorka Zamora-López, Changsong Zhou, J̈rgen Kurths 77

4 Organization and Function of Complex Cortical Networks / Claus C. Hilgetag, Marcus Kaiser 107

5 Synchronization Dynamics in Complex Networks / Changsong Zhou, Lucia Zemanová, Jürgen Kurths 135

6 Synchronization Analysis of Neuronal Networks by Means of Recurrence Plots / André Bergner, Maria Carmen Romano, Jürgen Kurths, Marco Thiel 177

Part III Cognition and Higher Perception

7 Neural and Cognitive Modeling with Networks of Leaky Integrator Units / Peter beim Graben, Thomas Liebscher, Jürgen Kurths 195

8 A Dynamic Model of the Macrocolumn / James J. Wright 225

Part IV Implementations

9 Building a Large-Scale Computational Model of a Cortical Neuronal Network / Lucia Zemanová, Changsong Zhou, Jürgen Kurths 251

10 Maintaining Causality in Discrete Time Neuronal Network Simulations / Abigail Morrison, Markus Diesmann 267

11 Sequential and Parallel Implementation of Networks / Werner von Bloh 279

Part V Applications

12 Parametric Studies on Networks of Morris-Lecar Neurons / Steffen Tietsche, Francesca Sapuppo, Petra Sinn 319

13 Traversing Scales: Large Scale Simulation of the Cat Cortex Using Single Neuron Models / Martin Vejmelka, Ingo Fründ, Ajay Pillai 331

14 Parallel Computation of Large Neuronal Networks with Structured Connectivity / Marconi Barbosa, Karl Dockendorf, Miguel Escalona, Borja Ibarz, Aris Miliotis, Irene Sendiña-Nadal, Gorka Zamora-López, Lucia Zemanová 343.

Notes:

Includes bibliographical references and index.

ISBN:

9783540731580

354073158X

OCLC:

166358089