Methods in Neuronal Modeling: From Ions to Networks, 2/e (Hardcover)

Description

Much research focuses on the question of how information is processed in nervous systems, from the level of individual ionic channels to large-scale neuronal networks, and from "simple" animals such as sea slugs and flies to cats and primates. New interdisciplinary methodologies combine a bottom-up experimental methodology with the more top-down-driven computational and modeling approach. This book serves as a handbook of computational methods and techniques for modeling the functional properties of single and groups of nerve cells.

The contributors highlight several key trends: (1) the tightening link between analytical/numerical models and the associated experimental data, (2) the broadening of modeling methods, at both the subcellular level and the level of large neuronal networks that incorporate real biophysical properties of neurons as well as the statistical properties of spike trains, and (3) the organization of the data gained by physical emulation of the nervous system components through the use of very large scale circuit integration (VLSI) technology.

The field of neuroscience has grown dramatically since the first edition of this book was published nine years ago. Half of the chapters of the second edition are completely new; the remaining ones have all been thoroughly revised. Many chapters provide an opportunity for interactive tutorials and simulation programs. They can be accessed via Christof Koch's Website.

Contributors: Larry F. Abbott, Paul R. Adams, Hagai Agmon-Snir, James M. Bower, Robert E. Burke, Erik de Schutter, Alain Destexhe, Rodney Douglas, Bard Ermentrout, Fabrizio Gabbiani, David Hansel, Michael Hines, Christof Koch, Misha Mahowald, Zachary F. Mainen, Eve Marder, Michael V. Mascagni, Alexander D. Protopapas, Wilfrid Rall, John Rinzel, Idan Segev, Terrence J. Sejnowski, Shihab Shamma, Arthur S. Sherman, Paul Smolen, Haim Sompolinsky, Michael Vanier, Walter M. Yamada.

Christof Koch is Professor of Computation and Neural Systems at the California Institute of Technology and the author of Biophysics of Computation.

 

Table of Contents

Series Foreword

Preface

1   Kinetic Models of Synaptic Transmission

Alain Destexhe, Zachary F. Mainen, and Terrence J. Sejnowski

2   Cable Theory for Dendritic Neurons

Wilfrid Rall and Hagai Agmon-Snir

3   Compartmental Models of Complex Neurons

Idan Segev and Robert E. Burke (appendix by Michael Hines)

4   Multiple Channels and Calcium Dynamics

Walter M. Yamada, Christof Koch, and Paul R. Adams

5   Modeling Active Dendritic Processes in Pyramidal Neurons

Zachary F. Mainen and Terrence J. Sejnowski

6   Calcium Dynamics in Large Neuronal Models

Erik De Schutter and Paul Smolen

7   Analysis of Neural Excitability and Oscillations

John Rinzel and Bard Ermentrout

8   Design and Fabrication of Analog VLSI Neurons

Rodney Douglas and Misha Mahowald

9   Principles of Spike Train Analysis

Fabrizio Gabbiani and Christof Koch

10   Modeling Small Networks

Larry F. Abbott and Eve Marder

11   Spatial and Temporal Processing in Central Auditory Networks

Shihab Shamma

12   Simulating Large Networks of Neurons

Alexander D. Proptopapas, Michael Vanier, and James M. Bower

13   Modeling Feature Selectivity in Local Cortical Circuits

David Hansel and Haim Sompolinsky

14   Numerical Methods for Neuronal Modeling

Michael V. Mascagni and Arthur S. Sherman

References

Contributors

Index

描述

許多研究集中在神經系統中信息如何被處理的問題上，從單個離子通道到大規模神經元網絡的層次，從海蛞蝓和蒼蠅等“簡單”動物到貓和靈長類動物。新的跨學科方法結合自下而上的實驗方法和更自上而下的計算和建模方法。本書作為一本計算方法和技術的手冊，用於模擬單個和群體神經細胞的功能特性。

貢獻者突出了幾個關鍵趨勢：（1）分析/數值模型與相關實驗數據之間的緊密聯繫，（2）建模方法的擴展，既包括亞細胞水平，也包括包含神經元的真實生物物理特性以及尖峰列的統計特性的大規模神經元網絡的水平，以及（3）通過使用非常大規模電路集成（VLSI）技術對神經系統組件進行物理仿真所獲得的數據的組織。

自從本書第一版出版九年以來，神經科學領域已經有了巨大的發展。第二版的一半章節是全新的，其餘章節都經過了全面修訂。許多章節提供了互動教程和模擬程序的機會。它們可以通過Christof Koch的網站訪問。

目錄

系列前言

前言

1. 突觸傳遞的動力學模型
貢獻者：Alain Destexhe, Zachary F. Mainen, and Terrence J. Sejnowski

2. 樹突神經元的電纜理論
貢獻者：Wilfrid Rall and Hagai Agmon-Snir

3. 複雜神經元的區域模型
貢獻者：Idan Segev and Robert E. Burke (附錄：Michael Hines)

......

Christof Koch是加州理工學院計算和神經系統教授，也是《計算生物物理學》的作者。