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Neural Organization (Structure, Function, and Dynamics)

List Price: $45.00
SKU:
9780262526418
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  • Product Details

    Author:
    Michael A. Arbib, Peter Erdi, Alice Szentagothai
    Format:
    Paperback
    Pages:
    420
    Publisher:
    MIT Press (October 10, 1997)
    Language:
    English
    ISBN-13:
    9780262526418
    ISBN-10:
    0262526417
    Weight:
    13oz
    Dimensions:
    8.375" x 11"
    Case Pack:
    24
    File:
    RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260405T171653_155746873-20260405.xml
    Folder:
    RandomHouse
    List Price:
    $45.00
    As low as:
    $34.65
    Publisher Identifier:
    P-RH
    Discount Code:
    A
    QuickShip:
    Yes
    Audience:
    General/trade
    Country of Origin:
    United States
    Pub Discount:
    65
    Imprint:
    Bradford Books
  • Overview

    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.