| 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 | 483 | 2016 |
| The construction and evaluation of statistical models of melodic structure in music perception and composition MT Pearce City University of London, 2005 | 409 | 2005 |
| Expectation in melody: The influence of context and learning MT Pearce, GA Wiggins Music Perception 23 (5), 377-405, 2006 | 389 | 2006 |
| 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 | 375 | 2019 |
| 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 | 352 | 2012 |
| The neuroaesthetics of music. E Brattico, M Pearce Psychology of Aesthetics, Creativity, and the Arts 7 (1), 48, 2013 | 336 | 2013 |
| Auditory expectation: the information dynamics of music perception and cognition MT Pearce, GA Wiggins Topics in cognitive science 4 (4), 625-652, 2012 | 318 | 2012 |
| 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 | 310 | 2010 |
| 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 | 301 | 2016 |
| 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 | 280 | 2018 |
| 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 (3), 533-553, 2013 | 251 | 2013 |
| 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 | 245 | 2019 |
| Predictive uncertainty in auditory sequence processing. NC Hansen, MT Pearce Frontiers in psychology 5, 1052, 2014 | 198 | 2014 |
| Improved methods for statistical modelling of monophonic music M Pearce, G Wiggins Journal of New Music Research 33 (4), 367-385, 2004 | 183 | 2004 |
| The Copenhagen Neuroaesthetics conference: prospects and pitfalls for an emerging field M Nadal, MT Pearce Brain and cognition 76 (1), 172-183, 2011 | 170 | 2011 |
| Evaluation of musical features for emotion classification. Y Song, S Dixon, MT Pearce ISMIR, 523-528, 2012 | 161 | 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 | 153 | 2010 |
| Music cognition and the cognitive sciences M Pearce, M Rohrmeier Topics in cognitive science 4 (4), 468-484, 2012 | 152 | 2012 |
| Simultaneous consonance in music perception and composition. P Harrison, MT Pearce Psychological Review 127 (2), 216-244, 2020 | 146 | 2020 |
| Motivations and methodologies for automation of the compositional process M Pearce, D Meredith, G Wiggins Musicae Scientiae 6 (2), 119-147, 2002 | 134 | 2002 |
Peter M. C. HarrisonUniversity of CambridgeVerified email at cam.ac.uk
