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Springer Series in Computational Neuroscience

Analysis and Modeling of Coordinated Multi-neuronal Activity

Editors: Tatsuno, Masami (Ed.)

  • State-of-the-art introduction of multi-electrode recordings and how they contribute to the understanding of hippocampal memory
  • Overview of the modeling approach to hippocampal memory
  • Presentation of hippocampal local circuits and hippocampal-cortical interactions
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eBook $159.00
price for USA (gross)
  • ISBN 978-1-4939-1969-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $209.00
price for USA
valid through October 16, 2017
  • ISBN 978-1-4939-1968-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
price for USA
  • ISBN 978-1-4939-4524-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Since information in the brain is processed by the exchange of spikes among neurons, a study of such group dynamics is extremely important in understanding hippocampus dependent memory. These spike patterns and local field potentials (LFPs) have been analyzed by various statistical methods. These studies have led to important findings of memory information processing. For example, memory-trace replay, a reactivation of behaviorally induced neural patterns during subsequent sleep, has been suggested to play an important role in memory consolidation. It has also been suggested that a ripple/sharp wave event (one of the characteristics of LFPs in the hippocampus) and spiking activity in the cortex have a specific relationship that may facilitate the consolidation of hippocampal dependent memory from the hippocampus to the cortex. The book will provide a state-of-the-art finding of memory information processing through the analysis of multi-neuronal data. The first half of the book is devoted to this analysis aspect. Understanding memory information representation and its consolidation, however, cannot be achieved only by analyzing the data. It is extremely important to construct a computational model to seek an underlying mathematical principle. In other words, an entire picture of hippocampus dependent memory system would be elucidated through close collaboration among experiments, data analysis, and computational modeling. Not only does computational modeling benefit the data analysis of multi-electrode recordings, but it also provides useful insight for future experiments and analyses. The second half of the book will be devoted to the computational modeling of hippocampus-dependent memory.

Table of contents (15 chapters)

  • Techniques for Large-Scale Multiunit Recording

    Steenland, Hendrik W. (et al.)

    Pages 3-39

  • Silicon Probe Techniques for Large-Scale Multiunit Recording

    Steenland, Hendrik W. (et al.)

    Pages 41-61

  • Overview of Neural Activity in the Awake and Sleeping Hippocampus

    Eckert, Michael (et al.)

    Pages 65-79

  • Associative Reactivation of Place–Reward Information in the Hippocampal–Ventral Striatal Circuitry

    Lansink, Carien S. (et al.)

    Pages 81-104

  • Hippocampal Sequences and the Cognitive Map

    Wikenheiser, Andrew M. (et al.)

    Pages 105-129

Buy this book

eBook $159.00
price for USA (gross)
  • ISBN 978-1-4939-1969-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $209.00
price for USA
valid through October 16, 2017
  • ISBN 978-1-4939-1968-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
price for USA
  • ISBN 978-1-4939-4524-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Analysis and Modeling of Coordinated Multi-neuronal Activity
Editors
  • Masami Tatsuno
Series Title
Springer Series in Computational Neuroscience
Series Volume
12
Copyright
2015
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4939-1969-7
DOI
10.1007/978-1-4939-1969-7
Hardcover ISBN
978-1-4939-1968-0
Softcover ISBN
978-1-4939-4524-5
Series ISSN
2197-1900
Edition Number
1
Number of Pages
X, 354
Number of Illustrations and Tables
17 b/w illustrations, 59 illustrations in colour
Topics