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Twenty years ago, the field of Computational Neuroscience was relatively new and many computer models were starting to be constructed of different structures and brain regions. This book seeks to answer the questions, what have we learned over the last twenty years using computational techniques? and what are the most significant challenges that remain?  The authors were selected to provide wide coverage of the applications of computational techniques to a broad range of questions and model systems in neuroscience.  In addition, several chapters consider the historical development of the field of Computational Neuroscience itself, including its associated modeling technology. These contributions recount the historical record, but also consider what developments are necessary to continue to advance computational understanding of brain function.  The book also includes an historical account of the establishment of the annual international meeting in Computational Neuroscience (the “CNS” meeting) more than twenty years ago, and includes annotated reproductions of the first twelve years of posters from that meeting. These posters in and of themselves have become famous in the field, hanging in many laboratories around the world and also in the halls of the NIH in Bethesda. Created at the time as allegories for the state of Computational Neuroscience, they now tell their own story of the origins and development of the field.

Computational neuroscience -- History. --- Computational neuroscience. --- Drug addiction. --- Computational neuroscience --- Models, Biological --- Biology --- Biological Science Disciplines --- Computing Methodologies --- History, Modern 1601 --- -Models, Theoretical --- History --- Natural Science Disciplines --- Information Science --- Investigative Techniques --- Disciplines and Occupations --- Humanities --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Computational Biology --- Models, Neurological --- Neurosciences --- History, 20th Century --- Computer Simulation --- Human Anatomy & Physiology --- Medicine --- Health & Biological Sciences --- Neuroscience --- Neurology --- Neurosciences. --- Computational neurosciences --- Neural sciences --- Neurological sciences --- Medicine. --- Neurobiology. --- Neural networks (Computer science). --- Biomedicine. --- Mathematical Models of Cognitive Processes and Neural Networks. --- Medical sciences --- Nervous system --- Computational biology --- Neural networks (Computer science) . --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing

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The advent of ever more sophisticated molecular manipulation techniques has made it clear that cellular systems are far more complex and dynamic than previously thought. At the same time, experimental techniques are providing an almost overwhelming amount of new data. It is increasingly apparent that linking molecular and cellular structure to function will require the use of new computational tools. This book provides specific examples, across a wide range of molecular and cellular systems, of how modeling techniques can be used to explore functionally relevant molecular and cellular relationships. The modeling techniques covered are applicable to cell, developmental, structural, and mathematical biology; genetics; and computational neuroscience. The book, intended as a primer for both theoretical and experimental biologists, is organized in two parts: models of gene activity and models of interactions among gene products. Modeling examples are provided at several scales for each subject. Each chapter includes an overview of the biological system in question and extensive references to important work in the area.

Biochemistry --- Molecular biology --- Mathematical models --- Mathematical models. --- Biological chemistry --- Chemical composition of organisms --- Organisms --- Physiological chemistry --- Biology --- Chemistry --- Medical sciences --- Molecular biochemistry --- Molecular biophysics --- Biophysics --- Biomolecules --- Systems biology --- Composition --- Biochemistry - Mathematical models --- Molecular biology - Mathematical models --- BIOMEDICAL SCIENCES/Quantitative Biology

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• Reference Manager
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