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Estimating Mutual Information for Spike Trains: A Bird Song Example

Jake Witter*, Conor Houghton

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

Zebra finches are a model animal used in the study of audition. They are adept at recognizing zebra finch songs, and the neural pathway involved in song recognition is well studied. Here, this example is used to illustrate the estimation of mutual information between stimuli and responses using a Kozachenko–Leonenko estimator. The challenge in calculating mutual information for spike trains is that there are no obvious coordinates for the data. The Kozachenko–Leonenko estimator does not require coordinates; it relies only on the distance between data points. In the case of bird songs, estimating the mutual information demonstrates that the information content of spiking does not diminish as the song progresses.
Original languageEnglish
Article numbere25101413
Number of pages8
JournalEntropy
Volume25
Issue number10
DOIs
Publication statusPublished - 3 Oct 2023

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