Methods in Neuronal Modeling: From Ions to Networks
Professor of Computation and Neural Systems Christof Koch, Christof Koch, Idan Segev
MIT Press, 1998 - 671页
"An admirable concentration of expertise on state-of-the-art neuronal modeling techniques -- a must on the bookshelf of computational neuroscientists and theoretical neurobiologists."
-- Wolf Singer, M.D., Ph.D., Max-Planck-Institute for Brain Research 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 beaccessed 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.
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Kinetic Models of Synaptic Transmission
Cable Theory for Dendritic Neurons
Compartmental Models of Complex Neurons
Multiple Channels and Calcium Dynamics
Modeling Active Dendritic Processes in Pyramidal Neurons
Calcium Dynamics in Large Neuronal Models
Analysis of Neural Excitability and Oscillations
Design and Fabrication of Analog VLSI Neurons
Modeling Small Networks
Spatial and Temporal Processing in Central Auditory Networks
Simulating Large Networks of Neurons
Modeling Feature Selectivity in Local Cortical Circuits
Numerical Methods for Neuronal Modeling
Principles of Spike Train Analysis