Towards an implicit metric of Sensory-Motor accuracy: Brain responses to auditory prediction errors in pianists
During listening to music, the brain expects specific acoustic events based on learned
musical rules. During music performance expectancy is additionally created based on motor …
musical rules. During music performance expectancy is additionally created based on motor …
Processing expectancy violations during music performance and perception: an ERP study
C Maidhof, N Vavatzanidis, W Prinz… - Journal of cognitive …, 2010 - direct.mit.edu
Musicians are highly trained motor experts with pronounced associations between musical
actions and the corresponding auditory effects. However, the importance of auditory …
actions and the corresponding auditory effects. However, the importance of auditory …
Decoding auditory attention to instruments in polyphonic music using single-trial EEG classification
Objective. Polyphonic music (music consisting of several instruments playing in parallel) is
an intuitive way of embedding multiple information streams. The different instruments in a …
an intuitive way of embedding multiple information streams. The different instruments in a …
Whole-brain computation of cognitive versus acoustic errors in music
Previous studies have evidenced how the local prediction of physical stimulus features may
affect the neural processing of incoming stimuli. Less known are the effects of cognitive …
affect the neural processing of incoming stimuli. Less known are the effects of cognitive …
Cortical activity during perception of musical pitch: comparing musicians and nonmusicians
A Habibi, V Wirantana, A Starr - Music Perception: An …, 2012 - online.ucpress.edu
This study investigates the effects of music training on brain activity to violations of melodic
expectancies. We recorded behavioral and event-related brain potential (ERP) responses of …
expectancies. We recorded behavioral and event-related brain potential (ERP) responses of …
[PDF][PDF] An exploration of tonal expectation using single-trial EEG classification
B Kaneshiro, J Berger… - Proceedings of the …, 2012 - ccrma.stanford.edu
We use a machine-learning approach to extend existing averaging-based ERP research on
brain representations of tonal expectation, particularly for cadential events. We introduce …
brain representations of tonal expectation, particularly for cadential events. We introduce …
[PDF][PDF] Precision-weighting of musical prediction error: Converging neurophysiological and behavioral evidence
DR Quiroga-Martinez - bioRxiv, 2018 - scholar.archive.org
Theories of predictive processing propose that prediction error responses are modulated by
precision. While there is some evidence for this phenomenon in the visual and, to some …
precision. While there is some evidence for this phenomenon in the visual and, to some …
Musical prediction error responses similarly reduced by predictive uncertainty in musicians and non‐musicians
DR Quiroga‐Martinez, N C. Hansen… - European Journal of …, 2020 - Wiley Online Library
Auditory prediction error responses elicited by surprising sounds can be reliably recorded
with musical stimuli that are more complex and realistic than those typically employed in …
with musical stimuli that are more complex and realistic than those typically employed in …
[HTML][HTML] Fractionating auditory priors: A neural dissociation between active and passive experience of musical sounds
Learning, attention and action play a crucial role in determining how stimulus predictions are
formed, stored, and updated. Years-long experience with the specific repertoires of sounds …
formed, stored, and updated. Years-long experience with the specific repertoires of sounds …
How regularities in sound sequences inform action planning: neural and behavioral evidence from silent piano performance
R Bianco - Acoustical Science and Technology, 2020 - jstage.jst.go.jp
1. Background It is known that knowledge of regularities can intuitively be used to flexibly
generate appropriate actions depending on the demands of the current context [1, 2]. While …
generate appropriate actions depending on the demands of the current context [1, 2]. While …