A technique for characterizing the development of rhythms in bird song.

PloS One
Sigal Saar, Partha P Mitra

Abstract

The developmental trajectory of nervous system dynamics shows hierarchical structure on time scales spanning ten orders of magnitude from milliseconds to years. Analyzing and characterizing this structure poses significant signal processing challenges. In the context of birdsong development, we have previously proposed that an effective way to do this is to use the dynamic spectrum or spectrogram, a classical signal processing tool, computed at multiple time scales in a nested fashion. Temporal structure on the millisecond timescale is normally captured using a short time Fourier analysis, and structure on the second timescale using song spectrograms. Here we use the dynamic spectrum on time series of song features to study the development of rhythm in juvenile zebra finch. The method is able to detect rhythmic structure in juvenile song in contrast to previous characterizations of such song as unstructured. We show that the method can be used to examine song development, the accuracy with which rhythm is imitated, and the variability of rhythms across different renditions of a song. We hope that this technique will provide a standard, automated method for measuring and characterizing song rhythm.

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Citations

Jun 16, 2012·Computational Intelligence and Neuroscience·Cameron D Wellock, George N Reeke
Mar 25, 2011·Journal of Neurophysiology·Jesse H Goldberg, Michale S Fee
Nov 11, 2011·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Dmitriy AronovMichale S Fee
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Jul 28, 2016·Frontiers in Neuroscience·Philipp Norton, Constance Scharff
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Feb 25, 2017·Neuroscience and Biobehavioral Reviews·Carien MolSita M Ter Haar
Jul 12, 2018·Journal of Neurophysiology·Pavel A PuzereyJesse H Goldberg
May 5, 2009·Nature·Olga FehérOfer Tchernichovski
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Apr 29, 2011·Journal of Neurophysiology·Katja Naie, Richard H R Hahnloser
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Dec 8, 2016·Behavior Research Methods·Frédéric RouxManuel Carreiras
Apr 9, 2020·PLoS Computational Biology·Lara S Burchardt, Mirjam Knörnschild

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Software Mentioned

Chronux
MATLAB
Sound Analysis
Sound Analysis Pro

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