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

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.

journal_name

R Soc Open Sci

authors

Houghton C

doi

10.1098/rsos.140391

subject

Has Abstract

pub_date

2015-05-13 00:00:00

pages

140391

issue

5

issn

2054-5703

pii

rsos140391

journal_volume

2

pub_type

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