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...
保存先:
| 第一著者: | |
|---|---|
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| 版: | 2. |
| シリーズ: | Springer Series in Synergetics
|
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
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 |
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| 100 | 1 | |a Haken, Hermann P. J., |d 1927- | |
| 245 | 1 | 0 | |a Brain Dynamics : |b An Introduction to Models and Simualtions |c by Hermann Haken. |
| 250 | |a 2. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Springer Series in Synergetics |x 0172-7389 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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. | |
| 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 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 networks, with at their core the lighthouse and integrate-and-fire models, which allow for the highly flexible modelling of realistic synaptic activity, synchronization and spatio-temporal pattern formation. Topics also include pulse-averaged equations and their application to movement coordination. The book closes with a short analysis of models versus the real neurophysiological system. The second edition has been thoroughly updated and augmented by two extensive chapters that discuss the interplay between pattern recognition and synchronization. Further, to enhance the usefulness as textbook and for self-study, the detailed solutions for all 34 exercises throughout the text have been added. | ||
| 776 | 0 | |t Brain Dynamics |b Texte imprimé |z 9783540844327 | |
| 776 | 0 | |t Brain Dynamics |b Texte imprimé |z 9783642094507 | |
| 776 | 0 | |0 154799718 |t Brain dynamics |o an introduction to models and simulations |f Hermann Haken |e 2nd edition |c Berlin |n Springer |d 2008 |p 1 vol. (XIII-333 p.) |s Springer series in synergetics |z 978-3-540-75236-3 | |
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