Brain dynamics : an introduction to models and simulations

著者

• Haken, H.

書誌事項

Brain dynamics : an introduction to models and simulations

Hermann Haken

（Springer series in synergetics）

Springer, c2008

2nd ed

注記

Includes bibliographical references (p. [317]-328) and index

内容説明・目次

内容説明

This is an excellent introduction for graduate students and nonspecialists to the field of mathematical and computational neurosciences. The book approaches the subject via pulsed-coupled neural networks, which have at their core the lighthouse and integrate-and-fire models. These allow for highly flexible modeling of realistic synaptic activity, synchronization and spatio-temporal pattern formation. The more advanced pulse-averaged equations are discussed.

目次

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.

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詳細情報

• NII書誌ID(NCID): BA84691633
• ISBN:
  • 9783540752363
• 出版国コード: gw
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Berlin
• ページ数/冊数: xiii, 333 p.
• 大きさ: 24 cm
• 分類:
  • LCC : QP363.3
  • DC21 : 573.8/5
• 件名:
  • LCSH : Neural networks(Neurobiology)
  • LCSH : Computational neuroscience
• 親書誌ID:
  • BA00004912