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Interpretations of Data and Mechanisms for Hippocampal Pyramidal Cell Models

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Models of Cortical Circuits

Part of the book series: Cerebral Cortex ((CECO,volume 13))

Abstract

A neuron model organizes, collates, and directs our expanding electrophysiological and biophysical knowledge. This chapter reviews single-neuron models, with hippocampal pyramidal cells (HPCs) as the reference, emphasizing the integration of electrophysiological data and biophysical theory into a cohesive hypothesis. We discuss the process of translating data into specific mechanistic hypotheses. We critically review the parameters and mechanisms that have been used in several published models, comparing their predictions with the data and against each other. A final goal is the description of an updated HPC model that may be a reference for future refinement and elaboration.

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  1. Institut Alfred Fessard-CNRS, Equipe Cognisciences, 91198, Gif-sur-Yvette, France

    Lyle J. Borg-Graham

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  1. Lyle J. Borg-Graham
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  1. University of Chicago, Chicago, Illinois, USA

    Philip S. Ulinski

  2. University of California, Davis, Davis, California, USA

    Edward G. Jones

  3. Boston University School of Medicine, Boston, Massachusetts, USA

    Alan Peters

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Borg-Graham, L.J. (1999). Interpretations of Data and Mechanisms for Hippocampal Pyramidal Cell Models. In: Ulinski, P.S., Jones, E.G., Peters, A. (eds) Models of Cortical Circuits. Cerebral Cortex, vol 13. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4903-1_2

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