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EBOOK
Title Computational systems neurobiology / Nicolas Le Novere, editors.
Imprint Dordrecht ; New York : Springer, 2012.

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LOCATION CALL # STATUS MESSAGE
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Subject Systems biology.
Bioinformatics.
Neurobiology.
Biological Science Disciplines.
Anatomy.
Natural Science Disciplines.
Disciplines and Occupations.
Neurobiology.
Computational Biology.
Neurons.
Neurosciences.
Nervous System.
Biology.
Cells.
Alt Name Le Novère, Nicolas.
Description 1 online resource
polychrome rdacc
Contents Functional Genomics and Molecular Networks Gene Expression Regulations in Complex Diseases: Down Syndrome as a Case Study / Marie-Claude Potier and Isabelle Rivals -- Reconstructing Models from Proteomics Data / Lysimachos Zografos, Andrew J. Pocklington and J. Douglas Armstrong -- Using Chemical Kinetics to Model Neuronal Signalling Pathways / Lukas Endler, Melanie I. Stefan, Stuart J. Edelstein and Nicolas Le Novere -- Breakdown of Mass-Action Laws in Biochemical Computation / Fidel Santamaria, Gabriela Antunes and Erik De Schutter -- Spatial Organization and Diffusion in Neuronal Signaling / Sherry-Ann Brown, Raquell M. Holmes and Leslie M. Loew -- The Performance (and Limits) of Simple Neuron Models: Generalizations of the Leaky Integrate-and-Fire Model / Richard Naud and Wulfram Gerstner -- Multi-compartmental Models of Neurons / Upinder S. Bhalla -- Noise in Neurons and Other Constraints / A. Aldo Faisal -- Methodological Issues in Modelling at Multiple Levels of Description / Kevin Gurney and Mark Humphries -- Virtues, Pitfalls, and Methodology of Neuronal Network Modeling and Simulations on Supercomputers / Anders Lansner and Markus Diesmann -- Co-operative Populations of Neurons: Mean Field Models of Mesoscopic Brain Activity / David T.J. Liley, Brett L. Foster and Ingo Bojak -- Cellular Spacing: Analysis and Modelling of Retinal Mosaics / Stephen J. Eglen -- Measuring and Modeling Morphology: How Dendrites Take Shape / Todd A. Gillette and Giorgio A. Ascoli -- Axonal Growth and Targeting / Duncan Mortimer, Hugh D. Simpson and Geoffrey J. Goodhill -- Encoding Neuronal Models in SBML / Sarah M. Keating and Nicolas Le Novere -- NeuroML / Padraig Gleeson, Volker Steuber, R. Angus Silver and Sharon Crook -- XPPAUT / Bard Ermentrout -- NEST by Example: An Introduction to the Neural Simulation Tool NEST / Marc-Oliver Gewaltig, Abigail Morrison and Hans Ekkehard Plesser.
Bibliography Note Includes bibliographical references and index.
Summary Computational neurosciences and systems biology are among the main domains of life science research where mathematical modeling made a difference. This book introduces the many different types of computational studies one can develop to study neuronal systems. It is aimed at undergraduate students starting their research in computational neurobiology or more senior researchers who would like, or need, to move towards computational approaches. Based on their specific project, the readers would then move to one of the more specialized excellent textbooks available in the field. The first part of the book deals with molecular systems biology. Functional genomics is introduced through examples of transcriptomics and proteomics studies of neurobiological interest. Quantitative modelling of biochemical systems is presented in homogeneous compartments and using spatial descriptions. A second part deals with the various approaches to model single neuron physiology, and naturally moves to neuronal networks. A division is focused on the development of neurons and neuronal systems and the book closes on a series of methodological chapters. From the molecules to the organ, thinking at the level of systems is transforming biology and its impact on society. This book will help the reader to hop on the train directly in the tank engine.
Note English.
ISBN 9789400738584 (electronic bk.)
9400738587 (electronic bk.)
9400738579
9401783802
9789401783804
9789400738577
9789400738577
ISBN/ISSN 10.1007/978-94-007-3858-4
OCLC # 801808238
Additional Format Print version: Computational systems neurobiology. Dordrecht ; New York : Springer, 2012 (DLC) 2012943348


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