The polyphonic brain: Extracting the neural representation of rhythmic structure for separate voices of polyphonic music using ERPs

Irene Sturm; Matthias S. Treder; Sven Dähne; Daniel Miklody; Hendrik Purwins; Benjamin Blankertz; Gabriel Curio

The polyphonic brain: Extracting the neural representation of rhythmic structure for separate voices of polyphonic music using ERPs

Irene Sturm, Matthias S. Treder, Sven Dähne, Daniel Miklody, Hendrik Purwins, Benjamin Blankertz, Gabriel Curio

Research output: Contribution to conference without publisher/journal › Poster › Research › peer-review

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Abstract

Rapid changes in the stimulus envelope (indicating tone onsets) elicit an N1-P2 ERP response, as has been shown for clicks and sine waves, musical tones and for speech. Canonical Correlation Analysis with temporal embedding (tkCCA), a multivariate correlation-based method, allows to extract brain responses to these changes in continuous auditory stimuli. Here, we
(1) probe, whether tkCCA can be applied to track changes in the stimulus envelope in the EEG of subjects who were presented with semi-artificial monophonic music clips of three instruments. (2) On polyphonic trials, composed of the same parts as in 1), we explore, whether the tkCCA-filters 10 20
derived in 1) can recover a representation of each instrument’s part from the EEG where subjects listened to the polyphonic stream. (3) We explore, whether, eventually, such a representation is influenced by focused attention.

Original language	English
Publication date	2014
Publication status	Published - 2014
Event	The Neurosciences and Music V: Cognitive Stimulation and Rehabilitation - Dijon, France Duration: 29 May 2014 → 1 Jun 2014 Conference number: 5

Conference

Conference	The Neurosciences and Music V
Number	5
Country/Territory	France
City	Dijon
Period	29/05/2014 → 01/06/2014

Keywords

music cognition
neuroscience
EEG

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http://www.fondazione-mariani.org/it/neuromusic/congressi/dijon-may-june-2014.html

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Sturm, I., Treder, M. S., Dähne, S., Miklody, D., Purwins, H., Blankertz, B., & Curio, G. (2014). The polyphonic brain: Extracting the neural representation of rhythmic structure for separate voices of polyphonic music using ERPs. Poster presented at The Neurosciences and Music V, Dijon, France. http://www.fondazione-mariani.org/it/neuromusic/congressi/dijon-may-june-2014.html

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title = "The polyphonic brain: Extracting the neural representation of rhythmic structure for separate voices of polyphonic music using ERPs",

abstract = "Rapid changes in the stimulus envelope (indicating tone onsets) elicit an N1-P2 ERP response, as has been shown for clicks and sine waves, musical tones and for speech. Canonical Correlation Analysis with temporal embedding (tkCCA), a multivariate correlation-based method, allows to extract brain responses to these changes in continuous auditory stimuli. Here, we(1) probe, whether tkCCA can be applied to track changes in the stimulus envelope in the EEG of subjects who were presented with semi-artificial monophonic music clips of three instruments. (2) On polyphonic trials, composed of the same parts as in 1), we explore, whether the tkCCA-filters 10 20derived in 1) can recover a representation of each instrument{\textquoteright}s part from the EEG where subjects listened to the polyphonic stream. (3) We explore, whether, eventually, such a representation is influenced by focused attention.",

keywords = "music cognition, neuroscience, EEG",

author = "Irene Sturm and Treder, {Matthias S.} and Sven D{\"a}hne and Daniel Miklody and Hendrik Purwins and Benjamin Blankertz and Gabriel Curio",

year = "2014",

language = "English",

note = "The Neurosciences and Music V : Cognitive Stimulation and Rehabilitation ; Conference date: 29-05-2014 Through 01-06-2014",

}

Sturm, I, Treder, MS, Dähne, S, Miklody, D, Purwins, H, Blankertz, B & Curio, G 2014, 'The polyphonic brain: Extracting the neural representation of rhythmic structure for separate voices of polyphonic music using ERPs', The Neurosciences and Music V, Dijon, France, 29/05/2014 - 01/06/2014. <http://www.fondazione-mariani.org/it/neuromusic/congressi/dijon-may-june-2014.html>

The polyphonic brain: Extracting the neural representation of rhythmic structure for separate voices of polyphonic music using ERPs. / Sturm, Irene; Treder, Matthias S.; Dähne, Sven et al.
2014. Poster presented at The Neurosciences and Music V, Dijon, France.

Research output: Contribution to conference without publisher/journal › Poster › Research › peer-review

TY - CONF

T1 - The polyphonic brain

T2 - The Neurosciences and Music V

AU - Sturm, Irene

AU - Treder, Matthias S.

AU - Dähne, Sven

AU - Miklody, Daniel

AU - Purwins, Hendrik

AU - Blankertz, Benjamin

AU - Curio, Gabriel

N1 - Conference code: 5

PY - 2014

Y1 - 2014

N2 - Rapid changes in the stimulus envelope (indicating tone onsets) elicit an N1-P2 ERP response, as has been shown for clicks and sine waves, musical tones and for speech. Canonical Correlation Analysis with temporal embedding (tkCCA), a multivariate correlation-based method, allows to extract brain responses to these changes in continuous auditory stimuli. Here, we(1) probe, whether tkCCA can be applied to track changes in the stimulus envelope in the EEG of subjects who were presented with semi-artificial monophonic music clips of three instruments. (2) On polyphonic trials, composed of the same parts as in 1), we explore, whether the tkCCA-filters 10 20derived in 1) can recover a representation of each instrument’s part from the EEG where subjects listened to the polyphonic stream. (3) We explore, whether, eventually, such a representation is influenced by focused attention.

AB - Rapid changes in the stimulus envelope (indicating tone onsets) elicit an N1-P2 ERP response, as has been shown for clicks and sine waves, musical tones and for speech. Canonical Correlation Analysis with temporal embedding (tkCCA), a multivariate correlation-based method, allows to extract brain responses to these changes in continuous auditory stimuli. Here, we(1) probe, whether tkCCA can be applied to track changes in the stimulus envelope in the EEG of subjects who were presented with semi-artificial monophonic music clips of three instruments. (2) On polyphonic trials, composed of the same parts as in 1), we explore, whether the tkCCA-filters 10 20derived in 1) can recover a representation of each instrument’s part from the EEG where subjects listened to the polyphonic stream. (3) We explore, whether, eventually, such a representation is influenced by focused attention.

KW - music cognition

KW - neuroscience

KW - EEG

M3 - Poster

Y2 - 29 May 2014 through 1 June 2014

ER -

The polyphonic brain: Extracting the neural representation of rhythmic structure for separate voices of polyphonic music using ERPs

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