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    Coefficient of variation vs. mean interspike interval curves: what do they tell us about the brain?

    Christodoulou, Chris and Bugmann, G. (2001) Coefficient of variation vs. mean interspike interval curves: what do they tell us about the brain? Neurocomputing 38 (40), pp. 1141-1149. ISSN 0925-2312.

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    Abstract

    A number of models have been produced recently to explain the high variability of natural spike trains (Softky and Koch, J. Neurosci. 13 (1) (1993) 334). These models use a range of different biological mechanisms including partial somatic reset, concurrent inhibition and excitation, correlated inputs and network dynamics effects. In this paper we examine which model is more likely to reflect the mechanisms used in the brain and we evaluate the ability of each model to reproduce the experimental coefficient of variation (CV) vs. mean interspike interval (ISI) curves (CV=standard deviation/mean ISI). The results show that the partial somatic reset mechanism is the most likely candidate to reflect the mechanism used in the brain for reproducing irregular firing.

    Metadata

    Item Type: Article
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 16 Mar 2021 18:10
    Last Modified: 16 Mar 2021 18:10
    URI: https://eprints.bbk.ac.uk/id/eprint/43523

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