Journal
ROYAL SOCIETY OPEN SCIENCE
Volume 2, Issue 5, Pages -Publisher
ROYAL SOC
DOI: 10.1098/rsos.140391
Keywords
spike trains; information theory; mutual information
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Funding
- James S McDonnell Foundation through a Scholar Award in Cognitive Science
- Elisabeth Blackwell Institute
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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.
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