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/journalPosterResearchpeer-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 languageEnglish
Publication date2014
Publication statusPublished - 2014
EventThe Neurosciences and Music V: Cognitive Stimulation and Rehabilitation - Dijon, France
Duration: 29 May 20141 Jun 2014
Conference number: 5

Conference

ConferenceThe Neurosciences and Music V
Number5
CountryFrance
CityDijon
Period29/05/201401/06/2014

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Music
Electroencephalography
Brain
Surgical Instruments

Keywords

  • music cognition
  • neuroscience
  • EEG

Cite this

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 session presented at The Neurosciences and Music V, Dijon, France.
Sturm, Irene ; Treder, Matthias S. ; Dähne, Sven ; Miklody, Daniel ; Purwins, Hendrik ; Blankertz, Benjamin ; Curio, Gabriel. / The polyphonic brain : Extracting the neural representation of rhythmic structure for separate voices of polyphonic music using ERPs. Poster session presented at The Neurosciences and Music V, Dijon, France.
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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, .

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; Miklody, Daniel; Purwins, Hendrik; Blankertz, Benjamin; Curio, Gabriel.

2014. Poster session presented at The Neurosciences and Music V, Dijon, France.

Research output: Contribution to conference without publisher/journalPosterResearchpeer-review

TY - CONF

T1 - The polyphonic brain

T2 - Extracting the neural representation of rhythmic structure for separate voices of polyphonic music using ERPs

AU - Sturm, Irene

AU - Treder, Matthias S.

AU - Dähne, Sven

AU - Miklody, Daniel

AU - Purwins, Hendrik

AU - Blankertz, Benjamin

AU - Curio, Gabriel

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

ER -

Sturm I, Treder MS, Dähne S, Miklody D, Purwins H, Blankertz B et al. The polyphonic brain: Extracting the neural representation of rhythmic structure for separate voices of polyphonic music using ERPs. 2014. Poster session presented at The Neurosciences and Music V, Dijon, France.