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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Le Novère, N. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Dordrecht : Springer Netherlands : Imprint: Springer, 2012.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.