[in Book] ↠ Methods in Neuronal Modeling - 2nd Edition: From Ions to Networks (Computational Neuroscience) PDF by A Bradford Book ✓ eBook or Kindle ePUB free

. He is the author of The Quest for Consciousness and other books. Christof Koch is Professor of Biology and of Engineering at the California Institute of Technology and Chief Scientific Officer of the Allen Institute for Brain Science in Seattle"An admirable

• Title : Methods in Neuronal Modeling - 2nd Edition: From Ions to Networks (Computational Neuroscience)
• Author : A Bradford Book
• Rating : 4.69 (721 Vote)
• Publish : 2016-9-28
• Format : Hardcover
• Pages : 844 Pages
• Asin : 0262112310
• Language : English

. He is the author of The Quest for Consciousness and other books. Christof Koch is Professor of Biology and of Engineering at the California Institute of Technology and Chief Scientific Officer of the Allen Institute for Brain Science in Seattle

"An admirable concentration of expertise on state-of-the-art neuronalmodeling techniques—a must on the bookshelf of computationalneuroscientists and theoretical neurobiologists." Wolf Singer , M.D., Ph.D., Max-Planck-Institute for Brain Research

Burke, Erik de Schutter, Alain Destexhe, Rodney Douglas, Bard Ermentrout, Fabrizio Gabbiani, David Hansel, Michael Hines, Christof Koch, Misha Mahowald, Zachary F. Many chapters provide an opportunity for interactive tutorials and simulation programs. Protopapas, Wilfrid Rall, John Rinzel, Idan Segev, Terrence J. Adams, Hagai Agmon-Snir, James M. 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. Half of the chapters of the second edition are completely new; the remaining ones have all been thoroughly revised. 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 orga

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