Aarhus University Seal / Aarhus Universitets segl

Manon Grube

Event-related EEG correlates of the processing of a metrical beat: in search for components of entrainment and prediction.

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

Standard

Event-related EEG correlates of the processing of a metrical beat: in search for components of entrainment and prediction. / Ajaj, Tamer; Blankertz, Benjamin; Group, Newcastle; Group, Newcastle.

2018. Abstract from Neuroscience Day 2018, Aarhus, Denmark.

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

Harvard

Ajaj, T, Blankertz, B, Group, N & Group, N 2018, 'Event-related EEG correlates of the processing of a metrical beat: in search for components of entrainment and prediction.', Neuroscience Day 2018, Aarhus, Denmark, 01/05/2018 - 01/05/2018.

APA

Ajaj, T., Blankertz, B., Group, N., & Group, N. (2018). Event-related EEG correlates of the processing of a metrical beat: in search for components of entrainment and prediction.. Abstract from Neuroscience Day 2018, Aarhus, Denmark.

CBE

Ajaj T, Blankertz B, Group N, Group N. 2018. Event-related EEG correlates of the processing of a metrical beat: in search for components of entrainment and prediction. Abstract from Neuroscience Day 2018, Aarhus, Denmark.

MLA

Ajaj, Tamer et al. Event-related EEG correlates of the processing of a metrical beat: in search for components of entrainment and prediction.. Neuroscience Day 2018, 01 May 2018, Aarhus, Denmark, Conference abstract for conference, 2018.

Vancouver

Ajaj T, Blankertz B, Group N, Group N. Event-related EEG correlates of the processing of a metrical beat: in search for components of entrainment and prediction.. 2018. Abstract from Neuroscience Day 2018, Aarhus, Denmark.

Author

Ajaj, Tamer ; Blankertz, Benjamin ; Group, Newcastle ; Group, Newcastle. / Event-related EEG correlates of the processing of a metrical beat: in search for components of entrainment and prediction. Abstract from Neuroscience Day 2018, Aarhus, Denmark.

Bibtex

@conference{643d87cedb8b4163a44944fe2a9aaa1d,
title = "Event-related EEG correlates of the processing of a metrical beat: in search for components of entrainment and prediction.",
abstract = "Aims. This work seeks to seekselectrophysiological event-related potentials (EPRs) inthe human EEG that are indicative of the processing ofa metrical beat, based on purely temporal characteristicsof basic rhythmical tone sequences. Methods.Motivated by pre-existing behavioural work (Povel andEssens, 1985; Grube and Griffiths, 2009) on temporalprocessing accuracy and subjective perception of thecatchiness of rhythmic patterns with a strongly vs. aweakly metrical beat, a total of 784 sequences werecomposed (each containing 7 or 8 tones distributed over16 beat units of 200 ms). Evaluated based onbehavioural ratings, an optimally separable set of 28strongly and 28 weakly metrical sequences was chosenand employed in a passive listening EEG paradigmlooking at the processing of sequences in their originalformat and with a violated ending. In order to analyseERP markers of metrical processing, continuous EEGdata were epoched and averaged across subjects (n=20).Results. Grand average responses of initial analysis atFZ display differences in the EEG for stronglycompared to weakly metrical sequences that indicate thebeat-based analysis of the unfolding of sequences, theirmetrically plausible endings and violation of those.Conclusions. The findings provide evidence for thebeat-based predictive encoding of such minimalisticrhythms and the temporal prediction of their metricallyplausible endings. On-going analyses tease aim to teaseout the individual components and test the classificationof strongly vs. weakly metrical beat processing in amachine learning-based multiple electrode approach",
author = "Tamer Ajaj and Benjamin Blankertz and Newcastle Group and Newcastle Group",
year = "2018",
month = "5",
day = "1",
language = "English",
note = "Neuroscience Day 2018 : Rewarding Neuroscience ; Conference date: 01-05-2018 Through 01-05-2018",
url = "http://neurocampus.au.dk/neuroscience-day/neuroscience-day-2018/",

}

RIS

TY - ABST

T1 - Event-related EEG correlates of the processing of a metrical beat: in search for components of entrainment and prediction.

AU - Ajaj, Tamer

AU - Blankertz, Benjamin

AU - Group, Newcastle

AU - Group, Newcastle

PY - 2018/5/1

Y1 - 2018/5/1

N2 - Aims. This work seeks to seekselectrophysiological event-related potentials (EPRs) inthe human EEG that are indicative of the processing ofa metrical beat, based on purely temporal characteristicsof basic rhythmical tone sequences. Methods.Motivated by pre-existing behavioural work (Povel andEssens, 1985; Grube and Griffiths, 2009) on temporalprocessing accuracy and subjective perception of thecatchiness of rhythmic patterns with a strongly vs. aweakly metrical beat, a total of 784 sequences werecomposed (each containing 7 or 8 tones distributed over16 beat units of 200 ms). Evaluated based onbehavioural ratings, an optimally separable set of 28strongly and 28 weakly metrical sequences was chosenand employed in a passive listening EEG paradigmlooking at the processing of sequences in their originalformat and with a violated ending. In order to analyseERP markers of metrical processing, continuous EEGdata were epoched and averaged across subjects (n=20).Results. Grand average responses of initial analysis atFZ display differences in the EEG for stronglycompared to weakly metrical sequences that indicate thebeat-based analysis of the unfolding of sequences, theirmetrically plausible endings and violation of those.Conclusions. The findings provide evidence for thebeat-based predictive encoding of such minimalisticrhythms and the temporal prediction of their metricallyplausible endings. On-going analyses tease aim to teaseout the individual components and test the classificationof strongly vs. weakly metrical beat processing in amachine learning-based multiple electrode approach

AB - Aims. This work seeks to seekselectrophysiological event-related potentials (EPRs) inthe human EEG that are indicative of the processing ofa metrical beat, based on purely temporal characteristicsof basic rhythmical tone sequences. Methods.Motivated by pre-existing behavioural work (Povel andEssens, 1985; Grube and Griffiths, 2009) on temporalprocessing accuracy and subjective perception of thecatchiness of rhythmic patterns with a strongly vs. aweakly metrical beat, a total of 784 sequences werecomposed (each containing 7 or 8 tones distributed over16 beat units of 200 ms). Evaluated based onbehavioural ratings, an optimally separable set of 28strongly and 28 weakly metrical sequences was chosenand employed in a passive listening EEG paradigmlooking at the processing of sequences in their originalformat and with a violated ending. In order to analyseERP markers of metrical processing, continuous EEGdata were epoched and averaged across subjects (n=20).Results. Grand average responses of initial analysis atFZ display differences in the EEG for stronglycompared to weakly metrical sequences that indicate thebeat-based analysis of the unfolding of sequences, theirmetrically plausible endings and violation of those.Conclusions. The findings provide evidence for thebeat-based predictive encoding of such minimalisticrhythms and the temporal prediction of their metricallyplausible endings. On-going analyses tease aim to teaseout the individual components and test the classificationof strongly vs. weakly metrical beat processing in amachine learning-based multiple electrode approach

M3 - Conference abstract for conference

ER -