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Publication - Dr Conor Houghton

    Calculating the Mutual Information between Two Spike Trains

    Citation

    Houghton, C, 2019, ‘Calculating the Mutual Information between Two Spike Trains’. Neural Computation, vol 31., pp. 330-343

    Abstract

    It is difficult to estimate the mutual information between spike trains because established methods require more data than are usually available. Kozachenko-Leonenko estimators promise to solve this problem but include a smoothing parameter that must be set. We propose here that the smoothing parameter can be selected by maximizing the estimated unbiased mutual information. This is tested on fictive data and shown to work very well.

    Full details in the University publications repository