Description - Methods in Neuronal Modeling by Christof Koch
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. Interdisciplinary methodologies combine a bottom-up experimental methodology with the more top-down-driven computational and modelling approach. This book serves as a handbook of computational methods and techniques for modelling the functional properties of single and groups of nerve cells. The contributions highlight several key trends: firstly, the tightening link between analytical/numerical models and the associated experimental data; the broadening of modelling 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 the organization of the data gained by physical emulation of the nervous system components through the use of very large scale circuit design integration (VLSI) technology.
Half of the chapters in this second edition of the text are completely new, while the remaining ones have been thoroughly revised. Many chapters provide an opportunity for interactive tutorials and simulation programs.
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