Brain Dynamics : An Introduction to Models and Simualtions
Brain Dynamics serves to introduce graduate students and nonspecialists from various backgrounds to the field of mathematical and computational neurosciences. Some of the advanced chapters will also be of interest to the specialists. The book approaches the subject through pulse-coupled neural netwo...
Enregistré dans:
| 主要作者: | |
|---|---|
| 格式: | Livre numérique |
| 語言: | Anglais |
| 出版: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| 版: | 2. |
| 叢編: | Springer Series in Synergetics
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| 在線閱讀: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 提示: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Brain Dynamics, Texte imprimé, 9783540844327 • Brain Dynamics, Texte imprimé, 9783642094507 • Brain dynamics, an introduction to models and simulations, Hermann Haken, 2nd edition, Berlin, Springer, 2008, 1 vol. (XIII-333 p.), Springer series in synergetics, 978-3-540-75236-3 |
書本目錄:
- Basic Experimental Facts and Theoretical Tools The Neuron Building Block of the Brain Neuronal Cooperativity Spikes, Phases, Noise: How to Describe Them Mathematically? We Learn a Few Tricks and Some Important Concepts Spiking in Neural Nets The Lighthouse Model. Two Coupled Neurons The Lighthouse Model. Many Coupled Neurons Integrate and Fire Models (IFM) Many Neurons, General Case, Connection with Integrate and Fire Model Pattern Recognition Versus Synchronization: Pattern Recognition Pattern Recognition Versus Synchronization: Synchronization and Phase Locking Phase Locking, Coordination and Spatio-Temporal Patterns Phase Locking via Sinusoidal Couplings Pulse-Averaged Equations Conclusion The Single Neuron Conclusion and Outlook Solutions to Exercises.