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Animal Models of Epilepsy pp 163–182Cite as

Complexity Untangled: Large-Scale Realistic Computational Models in Epilepsy

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Part of the book series: Neuromethods ((NM,volume 40))

Abstract

In the epilepsy field, the creation of large-scale data-driven models that incorporate decades worth of experimental data has led to substantial innovations over current methodologies. Such models and sophisticated visualization software that makes the models truly come to life have brought computational neuroscience closer to reality for all epilepsy researchers. In this chapter, we discuss detailed, data-driven models that have resulted in significant, testable, theoretical advances that have contributed to our knowledge of how large-scale biological neuronal networks interact to promote hyperexcitability and hypersynchrony in epilepsy syndromes. Additionally we elaborate on how computational advances in software infrastructure have greatly increased the accessibility and applicability of computational modeling, especially for biologists who have previously employed only experimental techniques in their research.

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Acknowledgments

Funding to IS was provided by NIH grant NS35915 and funding to RM by the UCI MSTP.

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  1. Department of Anatomy and Neurobiology, University of California, Irvine, CA, USA

    Robert J. Morgan & Ivan Soltesz

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  1. Robert J. Morgan
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  2. Ivan Soltesz
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    © 2009 Humana Press, a part of Springer Science+Business Media, LLC

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    Morgan, R.J., Soltesz, I. (2009). Complexity Untangled: Large-Scale Realistic Computational Models in Epilepsy. In: Baraban, S. (eds) Animal Models of Epilepsy. Neuromethods, vol 40. Humana Press. https://doi.org/10.1007/978-1-60327-263-6_10

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    • DOI: https://doi.org/10.1007/978-1-60327-263-6_10

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