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

Conor J Houghton

doi:10.1098/rsos.140391

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

Conor J Houghton

Bristol Neuroscience

Research output: Contribution to journal › Article (Academic Journal) › peer-review

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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.

Original language	English
Article number	140391
Number of pages	6
Journal	Royal Society Open Science
Volume	2
Issue number	5
DOIs	https://doi.org/10.1098/rsos.140391
Publication status	Published - 13 May 2015

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Publisher Copyright:
© 2015 The Authors.

Keywords

spike trains
information theory
mutual information

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10.1098/rsos.140391Licence: CC BY

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Dr Conor Houghton
- Conor.Houghtonbristol.acuk
- School of Engineering Mathematics and Technology - Associate Professor in Computer Science
- Bristol Neuroscience
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Calculating mutual information for spike trains and other data with distances but no coordinates

Abstract

Bibliographical note

Keywords

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Dr Conor Houghton

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