Marcus Pearce

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Peter M. C. HarrisonUniversity of CambridgePatvirtintas el. paštas cam.ac.uk
Daniel MüllensiefenProfessor, Department of Psychology, Goldsmiths, University of LondonPatvirtintas el. paštas gold.ac.uk
Joy BhattacharyaProfessor, Department of Psychology, Goldsmiths University of LondonPatvirtintas el. paštas gold.ac.uk
Peter VuustProfessor, Aarhus University & The Royal Academy of Music, AarhusPatvirtintas el. paštas musikkons.dk
Niels Chr. HansenAssociate Professor, Royal Academy of Music AarhusPatvirtintas el. paštas musikkons.dk
Elvira BratticoProfessor, Aarhus University & University of BariPatvirtintas el. paštas clin.au.dk
Marcos NadalUniversity of the Balearic IslandsPatvirtintas el. paštas uib.es
Simon DixonCentre for Digital Music, Queen Mary University of LondonPatvirtintas el. paštas qmul.ac.uk
Yading SongQueen Mary University of LondonPatvirtintas el. paštas qmul.ac.uk
Stephen McAdamsMcGill UniversityPatvirtintas el. paštas mcgill.ca
Stefan KoelschInstitute for Biological and Medical Psychology, University of BergenPatvirtintas el. paštas uib.no
Martin RohrmeierAssociate Professor of Digital Musicology, École Polytechnique Fédérale de LausannePatvirtintas el. paštas epfl.ch
Andreas HøjlundAssistant professor, Aarhus UniversityPatvirtintas el. paštas cc.au.dk
Lauren StewartProfessor in School of Psychology, Roehampton UniversityPatvirtintas el. paštas roehampton.ac.uk
Ana ClementeDepartment of Cognitive Neuropsychology, Max Planck Institute for Empirical AestheticsPatvirtintas el. paštas ae.mpg.de
David Ricardo Quiroga-MartinezUniversity of Copenhagen & UC BerkeleyPatvirtintas el. paštas psy.ku.dk
Vincent K.M. CheungSony Computer Science Laboratories (Sony CSL)Patvirtintas el. paštas csl.sony.co.jp
Martin SkovDanish Research Centre for Magnetic ResonancePatvirtintas el. paštas drcmr.dk
Ioanna ZiogaNational and Kapodistrian University of AthensPatvirtintas el. paštas music.uoa.gr
Andrea HalpernProfessor of Psychology, Bucknell UniversityPatvirtintas el. paštas bucknell.edu

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Marcus Pearce

Queen Mary University of London

Patvirtintas el. paštas qmul.ac.uk - Pagrindinis puslapis

Auditory Perception Cognitive Science Cognitive Neuroscience Computational Psychology Artificial Intelligence


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	414	2016
The construction and evaluation of statistical models of melodic structure in music perception and composition MT Pearce City University of London, 2005	378	2005
Expectation in melody: The influence of context and learning MT Pearce, GA Wiggins Music Perception 23 (5), 377-405, 2006	367	2006
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	320	2012
The neuroaesthetics of music. E Brattico, M Pearce Psychology of Aesthetics, Creativity, and the Arts 7 (1), 48, 2013	304	2013
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	296	2010
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	290	2019
Auditory expectation: the information dynamics of music perception and cognition MT Pearce, GA Wiggins Topics in cognitive science 4 (4), 625-652, 2012	289	2012
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	248	2016
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	236	2013
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	223	2018
Predictability and uncertainty in the pleasure of music: a reward for learning? BP Gold, MT Pearce, E Mas-Herrero, A Dagher, RJ Zatorre Journal of Neuroscience 39 (47), 9397-9409, 2019	192	2019
Predictive uncertainty in auditory sequence processing. NC Hansen, MT Pearce Frontiers in psychology 5, 1052, 2014	175	2014
Improved methods for statistical modelling of monophonic music M Pearce, G Wiggins Journal of New Music Research 33 (4), 367-385, 2004	174	2004
Evaluation of musical features for emotion classification. Y Song, S Dixon, MT Pearce ISMIR, 523-528, 2012	157	2012
The Copenhagen Neuroaesthetics conference: prospects and pitfalls for an emerging field M Nadal, MT Pearce Brain and cognition 76 (1), 172-183, 2011	154	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	148	2010
Music cognition and the cognitive sciences M Pearce, M Rohrmeier Topics in cognitive science 4 (4), 468-484, 2012	141	2012
Motivations and methodologies for automation of the compositional process M Pearce, D Meredith, G Wiggins Musicae Scientiae 6 (2), 119-147, 2002	130	2002
Electrophysiological correlates of melodic processing in congenital amusia D Omigie, MT Pearce, VJ Williamson, L Stewart Neuropsychologia 51 (9), 1749-1762, 2013	126	2013

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