Computational Systems Neurobiology

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 s...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Le Novère, N. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dordrecht : Springer Netherlands : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Temas:
Neurosciences.
Bioinformatics.
Neuroscience.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Foreword, Nicolas Le Novère
  • 1 Functional genomics and molecular networks Gene expression regulations in complex diseases: Down syndrome as a case study, Marie-Claude Potier, Isabelle Rivals
  • 2 Reconstructing Models from Proteomics Data, Lysimachos Zografos, Andrew J Pocklington, J Douglas Armstrong
  • 3 Using chemical kinetics to model neuronal signalling pathways, Lukas Endler, Melanie I Stefan, Stuart J Edelstein, Nicolas Le Novère
  • 4 Breakdown of mass-action laws in biochemical computation, Fidel Santamaria, Gabriela Antunes, Erik De Schutter
  • 5 Spatial Organization and Diffusion in Neuronal Signaling, Sherry-Ann Brown, Raquell M. Holmes, and Leslie M. Loew
  • 6 The Performance (and Limits) of Simple Neuron Models: Generalizations of the Leaky Integrate-and-Fire Model, Richard Naud, Wulfram Gerstner
  • 7 Multi-compartmental models of neurons, Upinder S. Bhalla
  • 8 Noise in neurons and other constraints, A. Aldo Faisal
  • 9 Methodological issues in modelling at multiple levels of description, Kevin Gurney, Mark Humphries
  • 10 Virtues, pitfalls, and methodology of neuronal network modeling and simulations on supercomputers, Anders Lansner, Markus Diesmann
  • 11 Co-operative populations of neurons: Mean field models of mesoscopic brain activity, David T.J. Liley, Brett L. Foster, Ingo Bojak
  • 12 Cellular spacing: analysis and modelling of retinal mosaics, Stephen J. Eglen
  • 13Measuring and Modeling Morphology: How Dendrites Take Shape, Todd A. Gillette, Giorgio A. Ascoli
  • 14 Axonal growth and targeting, Duncan Mortimer, Hugh D. Simpson, Geoffrey J. Goodhill
  • 15 Encoding neuronal models in SBML, Sarah M. Keating, Nicolas Le Novère
  • 16 NeuroML, Padraig Gleeson, Volker Steuber, R. Angus Silver, Sharon Crook
  • 17 XPPAUT, Bard Ermentrout
  • 18: NEST by example: an introduction to the neural simulation tool NEST, Marc-Oliver Gewaltig and Abigail Morrison, Hans Ekkehard Plesser
  • Index.

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