Lectures in Supercomputational Neuroscience: Dynamics in Complex Brain Networks

Description: Lectures in Supercomputational Neuroscience by Peter Graben, Changsong Zhou, Marco Thiel, JÜrgen Kurths 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. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description Computational Neurosciences 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 cats 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. Notes Introduces computational neuroscience with in-depth contributions by leading system neuroscientistsSets forth a conceptual model for complex networks of neurons that incorporates many important features of the brainEnables you to modify and adapt the algorithm for your own researchPresents worked out examples of applications Back Cover 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 cats 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. Table of Contents Neurophysiology.- Foundations of Neurophysics.- Synapses and Neurons: Basic Properties and Their Use in Recognizing Environmental Signals.- Complex Networks.- Structural Characterization of Networks Using the Cat Cortex as an Example.- Organization and Function of Complex Cortical Networks.- Synchronization Dynamics in Complex Networks.- Synchronization Analysis of Neuronal Networks by Means of Recurrence Plots.- Cognition and Higher Perception.- Neural and Cognitive Modeling with Networks of Leaky Integrator Units.- A Dynamic Model of the Macrocolumn.- Implementations.- Building a Large-Scale Computational Model of a Cortical Neuronal Network.- Maintaining Causality in Discrete Time Neuronal Network Simulations.- Sequential and Parallel Implementation of Networks.- Applications.- Parametric Studies on Networks of Morris-Lecar Neurons.- Traversing Scales: Large Scale Simulation of the Cat Cortex Using Single Neuron Models.- Parallel Computation of Large Neuronal Networks with Structured Connectivity. Long Description Computational Neurosciences 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 cats 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. Feature Introduces computational neuroscience with in-depth contributions by leading system neuroscientists Sets forth a conceptual model for complex networks of neurons that incorporates many important features of the brain Enables you to modify and adapt the algorithm for your own research Presents worked out examples of applications Details ISBN354073158X Short Title LECTURES IN SUPERCOMPUTATIONAL Series Understanding Complex Systems Language English ISBN-10 354073158X ISBN-13 9783540731580 Media Book Format Hardcover Year 2007 Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K Subtitle Dynamics in Complex Brain Networks Place of Publication Berlin Country of Publication Germany Birth 1964 Edited by JÜrgen Kurths Edition 2008th Author JÜrgen Kurths Pages 377 Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Edition Description 2008 ed. Publication Date 2007-12-12 Alternative 9783642092169 DEWEY 530 Audience Undergraduate Illustrations X, 377 p. We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96310879;

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