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Modeling the Piriform Cortex

  • Chapter
Models of Cortical Circuits

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

Abstract

The primary olfactory cortex, or piriform cortex, has been the focus of considerable modeling research. These models range from early work focused on electroen-cephalographic (EEG) data to more recent work constructing networks from com-partmental biophysical simulations of individual neurons. Ultimately, effective models of the cortex must link different levels of analysis; they must account for the function of the region in a behavioral context, without violating the constraints of physiological and anatomical data. Section 2 provides an overview of the experimental data available for constraining models of the piriform cortex. Models of the piriform cortex have addressed both physiological data and functional hypotheses, and will here be evaluated from both perspectives. In Section 3, this review focuses on the use of models to simulate specific physiological data—particularly EEG and field potential data demonstrating oscillatory dynamics. In Section 4, this review focuses on the use of models to evaluate specific functional hypotheses. The chapter concludes in Section 5 with a discussion of important issues to be addressed in further modeling research.

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Authors and Affiliations

  1. Department of Psychology, Boston University, Boston, Massachusetts, 02215, USA

    Michael E. Hasselmo

  2. Department of Psychology and Program in Neuroscience, Harvard University, Cambridge, Massachusetts, 02138, USA

    Christiane Linster

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  1. Michael E. Hasselmo
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Editors and Affiliations

  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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Hasselmo, M.E., Linster, C. (1999). Modeling the Piriform Cortex. 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_11

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  • DOI: https://doi.org/10.1007/978-1-4615-4903-1_11

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7223-3

  • Online ISBN: 978-1-4615-4903-1

  • eBook Packages: Springer Book Archive

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