Marcus Pearce
Zitiert von
Zitiert von
Expectation in melody: The influence of context and learning
MT Pearce, GA Wiggins
Music Perception 23 (5), 377-405, 2006
The construction and evaluation of statistical models of melodic structure in music perception and composition
MT Pearce
City University of London, 2005
Neuroaesthetics: the cognitive neuroscience of aesthetic experience
MT Pearce, DW Zaidel, O Vartanian, M Skov, H Leder, A Chatterjee, ...
Perspectives in Psychological Science 11, 265-269, 2016
Unsupervised statistical learning underpins computational, behavioural, and neural manifestations of musical expectation
MT Pearce, MH Ruiz, S Kapasi, GA Wiggins, J Bhattacharya
NeuroImage 50 (1), 302-313, 2010
A survey of music recommendation systems and future perspectives
Y Song, S Dixon, M Pearce
9th international symposium on computer music modeling and retrieval 4, 395-410, 2012
Auditory expectation: the information dynamics of music perception and cognition
MT Pearce, GA Wiggins
Topics in cognitive science 4 (4), 625-652, 2012
The neuroaesthetics of music.
E Brattico, M Pearce
Psychology of Aesthetics, Creativity, and the Arts 7 (1), 48, 2013
Probabilistic models of expectation violation predict psychophysiological emotional responses to live concert music
H Egermann, MT Pearce, GA Wiggins, S McAdams
Cognitive, Affective, & Behavioral Neuroscience 13, 533-553, 2013
Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns
N Barascud, MT Pearce, TD Griffiths, KJ Friston, M Chait
Proceedings of the National Academy of Sciences 113, E616-E625, 2016
Improved methods for statistical modelling of monophonic music
M Pearce, G Wiggins
Journal of New Music Research 33 (4), 367-385, 2004
Predictive uncertainty in auditory sequence processing.
NC Hansen, MT Pearce
Frontiers in psychology 5, 1052, 2014
Uncertainty and surprise jointly predict musical pleasure and amygdala, hippocampus, and auditory cortex activity
VKM Cheung, PMC Harrison, L Meyer, MT Pearce, JD Haynes, S Koelsch
Current Biology 29 (23), 4084-4092. e4, 2019
The Copenhagen Neuroaesthetics conference: prospects and pitfalls for an emerging field
M Nadal, MT Pearce
Brain and cognition 76 (1), 172-183, 2011
Evaluation of musical features for emotion classification.
Y Song, S Dixon, MT Pearce
ISMIR, 523-528, 2012
The role of expectation and probabilistic learning in auditory boundary perception: A model comparison
MT Pearce, D Müllensiefen, GA Wiggins
Perception 39 (10), 1367-1391, 2010
Statistical learning and probabilistic prediction in music cognition: mechanisms of stylistic enculturation
MT Pearce
Annals of the New York Academy of Sciences 1423, 378-395, 2018
Music cognition and the cognitive sciences
M Pearce, M Rohrmeier
Topics in cognitive science 4 (4), 468-484, 2012
Towards a framework for the evaluation of machine compositions
M Pearce, G Wiggins
Proceedings of the AISB’01 Symposium on Artificial Intelligence and …, 2001
Motivations and methodologies for automation of the compositional process
M Pearce, D Meredith, G Wiggins
Musicae Scientiae 6 (2), 119-147, 2002
Electrophysiological correlates of melodic processing in congenital amusia
D Omigie, MT Pearce, VJ Williamson, L Stewart
Neuropsychologia 51 (9), 1749-1762, 2013
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