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Autor(en): 
  • Michael A. Arbib
  • Peter Erdi
  • Alice Szentagothai
  • Neural Organization: Structure, Function, and Dynamics 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Oktober 1997  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Neurologie und klinische Neurophysiologie
    ISBN:  9780262526418 
    EAN-Code: 
    9780262526418 
    Verlag:  MIT Press 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 279 mm / B 213 mm / D 23 mm 
    Gewicht:  1033 gr 
    Seiten:  420 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    In Neural Organization, Arbib, Érdi, and Szentágothai integrate structural, functional, and dynamical approaches to the interaction of brain models and neurobiologcal experiments.

    In Neural Organization, Arbib, Érdi, and Szentágothai integrate structural, functional, and dynamical approaches to the interaction of brain models and neurobiologcal experiments. Both structure-based "bottom-up" and function- based "top-down" models offer coherent concepts by which to evaluate the experimental data. The goal of this book is to point out the advantages of a multidisciplinary, multistrategied approach to the brain. Part I of Neural Organization provides a detailed introduction to each of the three areas of structure, function, and dynamics. Structure refers to the anatomical aspects of the brain and the relations between different brain regions. Function refers to skills and behaviors, which are explained by means of functional schemas and biologically based neural networks. Dynamics refers to the use of a mathematical framework to analyze the temporal change of neural activities and synaptic connectivities that underlie brain development and plasticity—in terms of both detailed single-cell models and large-scale network models. In part II, the authors show how their systematic approach can be used to analyze specific parts of the nervous system—the olfactory system, hippocampus, thalamus, cerebral cortex, cerebellum, and basal ganglia—as well as to integrate data from the study of brain regions, functional models, and the dynamics of neural networks. In conclusion, they offer a plan for the use of their methods in the development of cognitive neuroscience.

      



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