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Publication - Dr Conor Houghton

    Calculating mutual information for spike trains and other data with distances but no coordinates

    Citation

    Houghton, CJ, 2015, ‘Calculating mutual information for spike trains and other data with distances but no coordinates’. Royal Society Open Science, vol 2.

    Abstract

    Many important data types, such as the spike trains recorded from neurons in typical electrophysiological experiments, have a natural notion of distance or similarity between data points, even though there is no obvious coordinate system. Here, a simple Kozachenko–Leonenko estimator is derived for calculating the mutual information between datasets of this type.

    Full details in the University publications repository