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Modeling of Neuronal Networks Through Experimental Decomposition

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Book cover Advanced Methods of Physiological System Modeling

Abstract

We recently have initiated a combined theoretical and experimental analysis of nonlinear system properties of the hippocampal formation (Berger et al., 1987, 1988a,b; Sclabassi et al., 1988a,b), a region of the mammalian brain which plays a major role in learning and memory functions (Squire, 1982; Thompson et al., 1983; Berger et al., 1986; Berger and Bassett, 1989). The hippocampal formation is composed of five subsystems: the entorhinal, dentate, hippocampal (CA3 and CA1 regions), and subicular cortices (Fig. 1). A single population of projection neurons provides the only output from each subsystem (Lorente de No, 1934), and is the source of monosynaptic, excit atory input to the projection neurons of other subsystems (Andersen et al., 1971b). The interconnectivity of the five cortical regions forms a closed feedback loop (Steward, 1976; Swanson and Cowan, 1977; Swanson et al., 1978; Sorensen and Shipley, 1979), such that activity within any one subsystem modulates activity of the other subsystems. Interneurons within each subsystem also modulate output of the projection neurons through local feedforward and feedback pathways (Lorente de No, 1934; Amaral, 1978; Alger and Nicoll, 1982; Lacaille et al., 1987).

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Authors and Affiliations

  1. Departments of Behavioral Neuroscience, Psychiatry, Neurological Surgery and Electrical Engineering, University of Pittsburgh, Pittsburgh, PA, 15260, USA

    Theodore W. Berger, T. Patrick Harty, German Barrionuevo & Robert J. Sclabassi

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  1. Theodore W. Berger
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  2. T. Patrick Harty
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  3. German Barrionuevo
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  4. Robert J. Sclabassi
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Editors and Affiliations

  1. Departments of Biomedical & Electrical Engineering, University of Southern California, Los Angeles, California, 90089-1451, USA

    Vasilis Z. Marmarelis

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© 1989 Plenum Press, New York

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Berger, T.W., Harty, T.P., Barrionuevo, G., Sclabassi, R.J. (1989). Modeling of Neuronal Networks Through Experimental Decomposition. In: Marmarelis, V.Z. (eds) Advanced Methods of Physiological System Modeling. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-9789-2_6

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  • DOI: https://doi.org/10.1007/978-1-4613-9789-2_6

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-9791-5

  • Online ISBN: 978-1-4613-9789-2

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