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

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    0364_Calculatingmutualinformation.pdf (325.4Kb)
    Date
    2015
    Author
    Houghton, Conor
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    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.
    URI
    https://lib.hpu.edu.vn/handle/123456789/22376
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