Methods in neuronal modeling : from ions to networks

Author(s)

• Koch, Christof
• Segev, Idan

Bibliographic Information

Methods in neuronal modeling : from ions to networks

edited by Christof Koch and Idan Segev

（Computational neuroscience）

MIT Press, c1998

2nd ed

• : hc.
• : pb.

Note

"A Bradford book."

Includes bibliographical references (p. [607]-653) and index

Description and Table of Contents

Volume

: hc. ISBN 9780262112314

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.

Table of Contents

• Kinetic models of synaptic transmission, Alain Destexhe et al
• cable theory for dendritic neurons, Wilfrid Rall, Hagai Agmon-Snir
• compartmental models of complex neurons, Idan Segev et al
• multiple channels and calcium dynamics, Walter M. Yamada et al
• modelling active dendritic processes in pyramidal neurons, Zachary F. Mainen, Terrence J. Sejnowski
• calcium dynamics in large neuronal models, Erik De Schutter, Paul Smolen
• analysis of neural excitability and oscillations, John Rinzel, Bard Ermentrout
• Design and fabrication of analog VLSI neurons, Rodney Douglas, Misha Mahowald
• principles of spike train analysis, Fabrizio Gabbiani, Christof Koch
• modelling small networks, Larry, F. Abbott, Eve Marder
• spatial and temporal processing in central auditory networks, Shihab Shamma
• simulating large networks of neurons, Alexander D. Proptopapas et al
• modelling features selectivity in local cortical circuits, David Hansel, Haim Sompolinsky
• numerical methods for neuronal modelling, Michael V. Mascagni, Arthur S. Sherman.

Volume

: pb. ISBN 9780262517133

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

by "Nielsen BookData"

Details

• NCID: BA36924854
• ISBN:
  • 0262112310
  • 9780262517133
• LCCN: 97017166
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Cambridge, Ma.
• Pages/Volumes: xiii, 671 p.
• Size: 24 cm
• Classification:
  • LCC : QP363.3
  • DC21 : 573.8/01/13
• Subject Headings:
  • LCSH : Neural networks (Neurobiology)
  • LCSH : Nervous system -- Computer simulation
  • LCSH : Neurons -- Computer simulation
• Parent Bibliography ID:
  • BA07230443