Item about my dissertation on BNR Nieuwsradio
BNR Nieuwsradio reported (in Dutch) about my research in both an article and a radio item on June 1st. Listen to the radio item below, or on the BNR website.
BNR Nieuwsradio reported (in Dutch) about my research in both an article and a radio item on June 1st. Listen to the radio item below, or on the BNR website.
Surrounding my PhD defense on June 8, 2016, my research was highlighted on the homepage of the University of Amsterdam.
My dissertation is finished and available for download here. I will publicly defend my dissertation on Wednesday, June 8th, at 11.00 h in the Aula of the University of Amsterdam. The defense ceremony is a public event, which anyone interested is very welcome to attend! Have a look what my dissertation is about under dissertation.
On the afternoon of Tuesday, June 7th, from 14.00 till 17.00 h, we will host a mini-workshop on beat perception and temporal predictions. You are cordially invited to join us for an afternoon of inspiring talks about these topics. Confirmed speakers include Dr. Jessica Grahn, Prof. Dr. Henkjan Honing, Prof. Dr. Sonja Kotz, Prof. Dr. István Winkler, and Dr. Rebecca Schaefer. More details can be found under Workshop 7th of June.
Surrounding the festive event of my defense, we will organise a workshop on beat perception and temporal predictions. You are cordially invited to join us for an afternoon of inspiring talks about these topics. Confirmed speakers include Dr. Jessica Grahn, Prof. Dr. Henkjan Honing, Prof. Dr. Sonja Kotz, Prof. Dr. István Winkler, and Dr. Rebecca Schaefer. The workshop will take place on the afternoon of Tuesday, June 7th 2016, from 14.00 till 17.00 h.
Perception of a regular beat in music is inferred from different types of accents. For example, increases in loudness cause intensity accents, and the grouping of time intervals in a rhythm creates temporal accents. Accents are expected to occur on the beat: when accents are “missing” on the beat, the beat is more difficult to perceive. However, it is unclear whether the accents occurring off the beat alter beat perception similarly to missing accents on the beat. Moreover, no one has examined whether intensity accents influence beat perception in the same way as temporal accents, nor how musical expertise affects sensitivity to each type of accent. (more…)
Beat perception is the ability to perceive temporal regularity in musical rhythm. When a beat is perceived, predictions about upcoming events can be generated. These predictions can influence processing of subsequent rhythmic events. However, statistical learning of the order of sounds in a sequence can also affect processing of rhythmic events and must be differentiated from beat perception. In the current study, using EEG, we examined the effects of attention and musical abilities on beat perception. (more…)
Following the release of the Clapping Music App, which was designed by researchers from Queen Mary University in London, I was asked to appear in RTL Editie NL to talk about beat perception. See the full item here.
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The processing of rhythmic events in music is influenced by the induced metrical structure. Two mechanisms underlying this may be temporal attending and temporal prediction. Temporal fluctuations in attentional resources may influence the processing of rhythmic events by heightening sensitivity at metrically strong positions. Temporal predictions may attenuate responses to events that are highly expected within a metrical structure. In the current study we aimed to disentangle these two mechanisms by examining responses to unexpected sounds, using intensity increments and decrements as deviants. (more…)
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The aim of this chapter is to give an overview of how the perception of a regular beat in music can be studied in humans adults, human newborns, and nonhuman primates using event-related brain potentials (ERPs). (more…)
The perception of a regular beat is fundamental to music processing. Here we examine whether the detection of a regular beat is pre-attentive for metrically simple, acoustically varying stimuli using the mismatch negativity (MMN), an ERP response elicited by violations of acoustic regularity irrespective of whether subjects are attending to the stimuli. (more…)