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Herausgeber: 
  • Alain Destexhe
  • Thierry Bal
  • Dynamic-Clamp: From Principles to Applications 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  März 2009  
    Genre:  Naturwissensch., Medizin, Technik 
     
    DV-gestützte Biologie/Bioinformatik / MEDICAL / Neurology / MEDICAL / Neuroscience / Medical / Nursing / Neurologie und klinische Neurophysiologie / SCIENCE / Bioinformatics / SCIENCE / Life Sciences / Neuroscience / SCIENCE / Research & Methodology
    ISBN:  9780387892788 
    EAN-Code: 
    9780387892788 
    Verlag:  Springer New York 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Springer Series in Computational Neuroscience  
    Dimensionen:  H 246 mm / B 166 mm / D 35 mm 
    Gewicht:  782 gr 
    Seiten:  429 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Dynamic-clamp is a fascinating electrophysiology technique that consists of merging living neurons with computational models. The dynamic-clamp (also called "conductance injection") allows experimentalists and theoreticians to challenge neurons (or any other type of cell) with complex conductance stimuli generated by a computer.

    The technique can be implemented from neural simulation environments and a variety of custom-made or commercial systems. The real-time interaction between the computer and cell also enables the design of recording paradigms with unprecedented accuracy via a computational model of the electrode. Dynamic-Clamp: From Principles to Applications contains contributions from leading researchers in the field, who investigate these paradigms at the cellular or network level, in vivo and in vitro, and in different brain regions and cardiac cells. Topics discussed include the addition of artificially-generated synaptic activity to neurons; adding, amplifying or neutralizing voltage-dependent conductances; creating hybrid networks with real and artificial cells; attaching simulated dendritic tree structures to the living cell; and connecting different neurons.

    This book will be of interest to experimental biophysicists, neurophysiologists, and cardiac physiologists, as well as theoreticians, engineers, and computational neuroscientists. Graduate and undergraduate students will also find up-to-date coverage of physiological problems and how they are investigated.

      



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