Lectures in supercomputational neurosciences : dynamics in complex brain networks
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...
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| Altres autors: | , , , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2008. |
| Col·lecció: | Understanding Complex Systems
|
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Lectures in Supercomputational Neurosciences, Texte imprimé, 9783540731580 • Lectures in Supercomputational Neuroscience, Texte imprimé, 9783540839736 • Lectures in Supercomputational Neuroscience, Texte imprimé, 9783642092169 • Lectures in Supercomputational Neuroscience, Texte imprimé, 9783540731580 |
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| 245 | 0 | 0 | |a Lectures in supercomputational neurosciences : |b dynamics in complex brain networks |c edited by Peter beim Graben, Changsong Zhou, Marco Thiel, Jürgen Kurths. |
| 250 | |a 1st ed. 2008. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Understanding Complex Systems |x 1860-0840 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 | ||
| 700 | 1 | |a Graben, Peter beim. |4 pbd | |
| 700 | 1 | |a Kurths, Jürgen, |d 19..- |4 pbd | |
| 700 | 1 | |a Thiel, Marco. |4 pbd | |
| 700 | 1 | |a Zhou, Changsong. |4 pbd | |
| 776 | 0 | |t Lectures in Supercomputational Neurosciences |b Texte imprimé |z 9783540731580 | |
| 776 | 0 | |t Lectures in Supercomputational Neuroscience |b Texte imprimé |z 9783540839736 | |
| 776 | 0 | |t Lectures in Supercomputational Neuroscience |b Texte imprimé |z 9783642092169 | |
| 776 | 0 | |t Lectures in Supercomputational Neuroscience |b Texte imprimé |z 9783540731580 | |
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