Analysis and Modeling of Coordinated Multi-neuronal Activity

  • Masami Tatsuno

Part of the Springer Series in Computational Neuroscience book series (NEUROSCI, volume 12)

Table of contents

  1. Front Matter
    Pages i-x
  2. Method of Multi-Electrode Recording

    1. Front Matter
      Pages 1-1
    2. Hendrik W. Steenland, Bruce L. McNaughton
      Pages 3-39
    3. Hendrik W. Steenland, Bruce L. McNaughton
      Pages 41-61
  3. Coordinated Neural Activity in Rodent Hippocampus and Associated Areas

    1. Front Matter
      Pages 63-63
    2. Michael Eckert, Masami Tatsuno
      Pages 65-79
    3. Andrew M. Wikenheiser, A. David Redish
      Pages 105-129
    4. Gabrielle Girardeau, Michaël Zugaro
      Pages 147-160
  4. Cortical Neural Activity and Interaction with the Hippocampus

    1. Front Matter
      Pages 161-161
    2. Daniel Christopher Haggerty, Daoyun Ji
      Pages 183-206
    3. Esther Holleman, Francesco P. Battaglia
      Pages 207-221
  5. Memory Reactivation in Humans

    1. Front Matter
      Pages 223-223
    2. Juliane Farthouat, Philippe Peigneux
      Pages 225-243
  6. Computational Modeling of Coordinated Neural Activity

    1. Front Matter
      Pages 245-245
    2. Nathan W. Schultheiss, James R. Hinman, Michael E. Hasselmo
      Pages 247-268
    3. Adam Johnson, Sarah Venditto
      Pages 299-312

About this book

Introduction

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. ​

Keywords

Computational Modeling Cortex Hippocampus Memory Multi-electrode Recording

Editors and affiliations

  • Masami Tatsuno
    • 1
  1. 1.The University of LethbridgeLethbridgeCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-1969-7
  • Copyright Information Springer Science+Business Media New York 2015
  • Publisher Name Springer, New York, NY
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-1-4939-1968-0
  • Online ISBN 978-1-4939-1969-7
  • Series Print ISSN 2197-1900
  • Series Online ISSN 2197-1919
  • About this book