Marcus Pearce

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Peter M. C. HarrisonUniversity of CambridgeVerified email at cam.ac.uk
Joy BhattacharyaProfessor, Department of Psychology, Goldsmiths University of LondonVerified email at gold.ac.uk
Daniel MüllensiefenProfessor, Department of Psychology, Goldsmiths, University of LondonVerified email at gold.ac.uk
Niels Chr. HansenAarhus Institute of Advanced Studies, Aarhus UniversityVerified email at aias.au.dk
Elvira BratticoAarhus University, Denmark & University of Bari Aldo Moro, ItalyVerified email at clin.au.dk
Marcos NadalUniversity of the Balearic IslandsVerified email at uib.es
Peter VuustProfessor, Aarhus University & The Royal Academy of Music, AarhusVerified email at musikkons.dk
Simon DixonCentre for Digital Music, Queen Mary University of LondonVerified email at qmul.ac.uk
Yading SongQueen Mary University of LondonVerified email at qmul.ac.uk
Stephen McAdamsMcGill UniversityVerified email at mcgill.ca
Martin RohrmeierAssociate Professor of Digital Musicology, École Polytechnique Fédérale de LausanneVerified email at epfl.ch
Lauren StewartProfessor in Psychology, Goldsmiths University of LondonVerified email at gold.ac.uk
Diana OmigieVerified email at gold.ac.uk
Roger T. DeanProfessor of Sonic Communication, Western Sydney University; Artistic Director, austraLYSISVerified email at westernsydney.edu.au
David Ricardo Quiroga-MartinezUC BerkeleyVerified email at berkeley.edu
Karl FristonUniversity College LondonVerified email at ucl.ac.uk
Andrea HalpernProfessor of Psychology, Bucknell UniversityVerified email at bucknell.edu
Andreas HøjlundAssistant professor, Aarhus UniversityVerified email at cc.au.dk
Christophe RhodesGoogle UK LtdVerified email at google.com
Stefan KoelschInstitute for Biological and Medical Psychology, University of BergenVerified email at cbs.mpg.de

Marcus Pearce

Queen Mary University of London

Verified email at qmul.ac.uk - Homepage

Auditory Perception Cognitive Science Cognitive Neuroscience Computational Psychology Artificial Intelligence


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Expectation in melody: The influence of context and learning MT Pearce, GA Wiggins Music Perception 23 (5), 377-405, 2006	341	2006
The construction and evaluation of statistical models of melodic structure in music perception and composition MT Pearce City University of London, 2005	319	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	302	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	265	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	245	2012
Auditory expectation: the information dynamics of music perception and cognition MT Pearce, GA Wiggins Topics in cognitive science 4 (4), 625-652, 2012	243	2012
The neuroaesthetics of music. E Brattico, M Pearce Psychology of Aesthetics, Creativity, and the Arts 7 (1), 48, 2013	238	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	199	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	194	2016
Improved methods for statistical modelling of monophonic music M Pearce, G Wiggins Journal of New Music Research 33 (4), 367-385, 2004	164	2004
Predictive uncertainty in auditory sequence processing. NC Hansen, MT Pearce Frontiers in psychology 5, 1052, 2014	148	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	140	2019
Evaluation of musical features for emotion classification. Y Song, S Dixon, MT Pearce ISMIR, 523-528, 2012	139	2012
The Copenhagen Neuroaesthetics conference: prospects and pitfalls for an emerging field M Nadal, MT Pearce Brain and cognition 76 (1), 172-183, 2011	139	2011
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	133	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	131	2018
Music cognition and the cognitive sciences M Pearce, M Rohrmeier Topics in cognitive science 4 (4), 468-484, 2012	116	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	115	2001
Motivations and methodologies for automation of the compositional process M Pearce, D Meredith, G Wiggins Musicae Scientiae 6 (2), 119-147, 2002	114	2002
Electrophysiological correlates of melodic processing in congenital amusia D Omigie, MT Pearce, VJ Williamson, L Stewart Neuropsychologia 51 (9), 1749-1762, 2013	112	2013

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