Methods in Neuronal Modeling second edition

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.<p><b>Contributors<br></b>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</p>