Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 774080

Neural Correlates of Beat-Patterns with Multiple Metrical Levels: Beat Perception and Sensorimotor Synchronisation Investigated with EEG


Schlichting, Nadine
Neural Correlates of Beat-Patterns with Multiple Metrical Levels: Beat Perception and Sensorimotor Synchronisation Investigated with EEG, 2015., diplomski rad, diplomski, Joint Degree Programme Mei:CogSci, Beč


CROSBI ID: 774080 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Neural Correlates of Beat-Patterns with Multiple Metrical Levels: Beat Perception and Sensorimotor Synchronisation Investigated with EEG

Autori
Schlichting, Nadine

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, diplomski

Fakultet
Joint Degree Programme Mei:CogSci

Mjesto
Beč

Datum
30.07

Godina
2015

Stranica
65

Mentor
Palmović, Marijan

Ključne riječi
beats; multiple metrical levels; beat perception; eeg; frequency analysis

Sažetak
Music and beat perception are strongly connected to movement, a phenomenon known as sensorimotor synchronisation. How are we able to synchronise movements to external events, given perceptual processing and action planning delays? Neurophysiologically, simple metronome-like beat sounds entrain neural oscillations, so that the brain oscillates with the same frequency as the beat frequency. But in our everyday environment beats rarely occur without being embedded in rhythmical and metrical structures (e.g. music). The current study seeks to examine how more complex rhythmical sounds are creating temporal expectancies and how multiple explicit metrical structures are represented in the brain. Electroencephalogram recordings were obtained while participants listened to beat-sounds varying in metrical complexity and inter-beat- intervals. Their task was to synchronise finger movements to the first-level beat. When tapping along to the faster beat performance was almost equally good in all conditions. Importantly, additional metrical levels embedded in the beat sounds increased synchronisation accuracy for longer interbeat-intervals. Looking at the frequency spectres of the obtained EEG data, entrained oscillations emerged at the beat and meter frequencies, though results are clouded by harmonic distortions. Taken together, results highlight the dynamic, proactive and predictive character of brain functions spanning across multiple distant brain areas.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti, Psihologija



POVEZANOST RADA


Projekti:
HRZZ-UIP-2013-11-2421 - Jezična obrada u odraslih govornika (ALP) (Kuvač Kraljević, Jelena, HRZZ - 2013-11) ( CroRIS)

Ustanove:
Sveučilište u Zagrebu

Profili:

Avatar Url Marijan Palmović (mentor)


Citiraj ovu publikaciju:

Schlichting, Nadine
Neural Correlates of Beat-Patterns with Multiple Metrical Levels: Beat Perception and Sensorimotor Synchronisation Investigated with EEG, 2015., diplomski rad, diplomski, Joint Degree Programme Mei:CogSci, Beč
Schlichting, N. (2015) 'Neural Correlates of Beat-Patterns with Multiple Metrical Levels: Beat Perception and Sensorimotor Synchronisation Investigated with EEG', diplomski rad, diplomski, Joint Degree Programme Mei:CogSci, Beč.
@phdthesis{phdthesis, author = {Schlichting, Nadine}, year = {2015}, pages = {65}, keywords = {beats, multiple metrical levels, beat perception, eeg, frequency analysis}, title = {Neural Correlates of Beat-Patterns with Multiple Metrical Levels: Beat Perception and Sensorimotor Synchronisation Investigated with EEG}, keyword = {beats, multiple metrical levels, beat perception, eeg, frequency analysis}, publisherplace = {Be\v{c}} }
@phdthesis{phdthesis, author = {Schlichting, Nadine}, year = {2015}, pages = {65}, keywords = {beats, multiple metrical levels, beat perception, eeg, frequency analysis}, title = {Neural Correlates of Beat-Patterns with Multiple Metrical Levels: Beat Perception and Sensorimotor Synchronisation Investigated with EEG}, keyword = {beats, multiple metrical levels, beat perception, eeg, frequency analysis}, publisherplace = {Be\v{c}} }




Contrast
Increase Font
Decrease Font
Dyslexic Font