Brain Dynamics
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Brain Dynamics

Synchronization and Activity Patterns in Pulse-Coupled Neural Nets with Delays and Noise
 eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9783540462842
Veröffentl:
2006
Einband:
eBook
Seiten:
249
Autor:
Hermann Haken
Serie:
Springer Series in Synergetics
eBook Typ:
PDF
eBook Format:
eBook
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

Twenty-Five Years of Springer Series in Synergetics The year 2002 marks the 25th anniversary of the Springer Series in S- ergetics. It started in 1977 with my book "e;Synergetics. An Introduction. Nonequilibrium Phase Transitions and Self-Organization in Physics, Ch- istry and Biology"e;. In the near future, the 100th volume of this series will be published. Its success has been made possible by the contributions of outstanding authors who presented their quite often pioneering results to the science community well beyond the borders of a special discipline. Indeed, interdisciplinarity is one of the main features of this series. But interdis- plinarity is not enough: The main goal is the search for common features of self-organizing systems in a great variety of seemingly quite di?erent systems, or, still more precisely speaking, the search for general principles underlying the spontaneous formation of spatial, temporal or functional structures. The objects studied may be as diverse as lasers and ?uids in physics, pattern formation in chemistry, morphogenesis in biology, brain functions in neur- ogy or self-organization in a city. As is witnessed by several volumes, great attention is being paid to the pivotal interplay between deterministic and stochastic processes, as well as to the dialogue between theoreticians and experimentalists. All this has contributed to a remarkable cross-fertilization between disciplines and to a deeper unterstanding of complex systems. The timeliness and potential of such an approach are also mirrored - among other indicators - bynumerous interdisciplinary workshops and conferencesall over the world.
This book addresses a large variety of models in mathematical and computational neuroscience. It is written for the experts as well as for graduate students wishing to enter this fascinating field of research. The author studies the behaviour of large neural networks composed of many neurons coupled by spike trains. An analysis of phase locking via sinusoidal couplings leading to various kinds of movement coordination is included.
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.- Phase Locking, Coordination and Spatio-Temporal Patterns.- Phase Locking via Sinusoidal Couplings.- Pulse-Averaged Equations.- Conclusion.- The Single Neuron.- Conclusion and Outlook.
Twenty-Five Years of Springer Series in Synergetics The year 2002 marks the 25th anniversary of the Springer Series in S- ergetics. It started in 1977 with my book “Synergetics. An Introduction. Nonequilibrium Phase Transitions and Self-Organization in Physics, Ch- istry and Biology”. In the near future, the 100th volume of this series will be published. Its success has been made possible by the contributions of outstanding authors who presented their quite often pioneering results to the science community well beyond the borders of a special discipline. Indeed, interdisciplinarity is one of the main features of this series. But interdis- plinarity is not enough: The main goal is the search for common features of self-organizing systems in a great variety of seemingly quite di?erent systems, or, still more precisely speaking, the search for general principles underlying the spontaneous formation of spatial, temporal or functional structures. The objects studied may be as diverse as lasers and ?uids in physics, pattern formation in chemistry, morphogenesis in biology, brain functions in neur- ogy or self-organization in a city. As is witnessed by several volumes, great attention is being paid to the pivotal interplay between deterministic and stochastic processes, as well as to the dialogue between theoreticians and experimentalists. All this has contributed to a remarkable cross-fertilization between disciplines and to a deeper unterstanding of complex systems. The timeliness and potential of such an approach are also mirrored – among other indicators – bynumerous interdisciplinary workshops and conferencesall over the world.

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