Cargando…

Brain Dynamics An Introduction to Models and Simulations /

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 netw...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Haken, Hermann (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:2nd ed. 2008.
Colección:Springer Series in Synergetics,
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-540-75238-7
003 DE-He213
005 20220126133317.0
007 cr nn 008mamaa
008 100301s2008 gw | s |||| 0|eng d
020 |a 9783540752387  |9 978-3-540-75238-7 
024 7 |a 10.1007/978-3-540-75238-7  |2 doi 
050 4 |a QH505 
072 7 |a PHVN  |2 bicssc 
072 7 |a SCI009000  |2 bisacsh 
072 7 |a PHVN  |2 thema 
082 0 4 |a 571.4  |2 23 
100 1 |a Haken, Hermann.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Brain Dynamics  |h [electronic resource] :  |b An Introduction to Models and Simulations /  |c by Hermann Haken. 
250 |a 2nd ed. 2008. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2008. 
300 |a XIV, 333 p. 85 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Springer Series in Synergetics,  |x 2198-333X 
505 0 |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. 
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. 
650 0 |a Biophysics. 
650 0 |a Medical physics. 
650 0 |a System theory. 
650 0 |a Mathematics. 
650 0 |a Neurosciences. 
650 0 |a Artificial intelligence. 
650 1 4 |a Biophysics. 
650 2 4 |a Medical Physics. 
650 2 4 |a Complex Systems. 
650 2 4 |a Applications of Mathematics. 
650 2 4 |a Neuroscience. 
650 2 4 |a Artificial Intelligence. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783540844327 
776 0 8 |i Printed edition:  |z 9783642094507 
776 0 8 |i Printed edition:  |z 9783540752363 
830 0 |a Springer Series in Synergetics,  |x 2198-333X 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-540-75238-7  |z Texto Completo 
912 |a ZDB-2-PHA 
912 |a ZDB-2-SXP 
950 |a Physics and Astronomy (SpringerNature-11651) 
950 |a Physics and Astronomy (R0) (SpringerNature-43715)