Brain Dynamics
Autor Hermann Hakenen Limba Engleză Hardback – 4 ian 2008
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.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 376.17 lei 6-8 săpt. | |
| Springer Berlin, Heidelberg – 23 noi 2010 | 376.17 lei 6-8 săpt. | |
| Hardback (1) | 384.45 lei 6-8 săpt. | |
| Springer – 4 ian 2008 | 384.45 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783540752363
ISBN-10: 3540752366
Pagini: 348
Ilustrații: XIV, 333 p. 85 illus.
Dimensiuni: 160 x 241 x 25 mm
Greutate: 0.69 kg
Ediția:Second Edition 2008
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540752366
Pagini: 348
Ilustrații: XIV, 333 p. 85 illus.
Dimensiuni: 160 x 241 x 25 mm
Greutate: 0.69 kg
Ediția:Second Edition 2008
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
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.
Textul de pe ultima copertă
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.
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.
Caracteristici
Includes supplementary material: sn.pub/extras