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Research

Publications: Dr Marcus Pearce

Hansen NC, Højlund A, Møller C, Pearce M, Vuust P ( 2022 ) . Musicians show more integrated neural processing of contextually relevant acoustic features . Frontiers in Neuroscience vol. 16 ,
Agres K, Tay TY, Pearce M ( 2022 ) . Comparing Musicians and Non-musicians' Expectations in Music and Vision . ACM International Conference Proceeding Series . 74 - 79 .
Kaplan T, Cannon J, Jamone L, Pearce M ( 2022 ) . Modeling enculturated bias in entrainment to rhythmic patterns . PLoS Computational Biology vol. 18 , ( 9 )
Tenderini MS, de Leeuw E, Eilola TM, Pearce MT ( 2022 ) . Reduced Cross-Modal Affective Priming in the L2 of Late Bilinguals Depends on L2 Exposure . Journal of Experimental Psychology: Learning Memory and Cognition vol. 48 , ( 2 ) 284 - 303 .
Quiroga-Martinez DR, Hansen NC, Højlund A, Pearce M, Brattico E, Holmes E, Friston K, Vuust P ( 2021 ) . Musicianship and melodic predictability enhance neural gain in auditory cortex during pitch deviance detection . Human Brain Mapping vol. 42 , ( 17 ) 5595 - 5608 .
Goldman A, Harrison PMC, Jackson T, Pearce MT ( 2021 ) . Reassessing Syntax-Related ERP Components Using Popular Music Chord Sequences . Music Perception vol. 39 , ( 2 ) 118 - 144 .
Krishnan S, Carey D, Dick F, Pearce MT ( 2021 ) . Effects of statistical learning in passive and active contexts on reproduction and recognition of auditory sequences . Journal of Experimental Psychology: General
Hansen NC, Kragness HE, Vuust P, Trainor L, Pearce MT ( 2021 ) . Predictive Uncertainty Underlies Auditory Boundary Perception . Psychological Science vol. 32 , ( 9 ) 1416 - 1425 .
de Fleurian R, Pearce MT ( 2021 ) . The Relationship Between Valence and Chills in Music: A Corpus Analysis . i-Perception vol. 12 , ( 4 ) 1 - 11 .
Hall ETR, Pearce MT ( 2021 ) . A model of large-scale thematic structure . Journal of New Music Research vol. 50 , ( 3 ) 220 - 241 .
Clemente A, Pearce MT, Skov M, Nadal M ( 2021 ) . Evaluative judgment across domains: Liking balance, contour, symmetry and complexity in melodies and visual designs . Brain and Cognition vol. 151 ,
Clemente A, Pearce MT, Nadal M ( 2021 ) . Musical Aesthetic Sensitivity . Psychology of Aesthetics, Creativity, and the Arts
de Fleurian R, Pearce MT ( 2021 ) . Chills in Music: A Systematic Review . Psychological Bulletin vol. 147 , ( 9 ) 890 - 920 .
Politimou N, Douglass-Kirk P, Pearce M, Stewart L, Franco F ( 2020 ) . Melodic expectations in 5- and 6-year-old children . Journal of Experimental Child Psychology vol. 203 ,
Harrison PMC, Bianco R, Chait M, Pearce MT ( 2020 ) . PPM-Decay: A computational model of auditory prediction with memory decay . PLoS Computational Biology vol. 16 , ( 11 )
Zioga I, Harrison PMC, Pearce MT, Bhattacharya J, Luft CDB ( 2020 ) . Auditory but not audiovisual cues lead to higher neural sensitivity to the statistical regularities of an unfamiliar musical style . Journal of Cognitive Neuroscience vol. 32 , ( 12 ) 2241 - 2259 .
Ycart A, Liu L, Benetos E, Pearce M ( 2020 ) . Investigating the Perceptual Validity of Evaluation Metrics for Automatic Piano Music Transcription . Transactions of the International Society for Music Information Retrieval vol. 3 , ( 1 ) 68 - 81 .
Bianco R, Harrison PMC, Hu M, Bolger C, Picken S, Pearce MT, Chait M ( 2020 ) . Long-term implicit memory for sequential auditory patterns in humans . eLife vol. 9 , 1 - 6 .
Ycart A, Liu L, Benetos E, Pearce MT ( 2020 ) . Musical Features for Automatic Music Transcription Evaluation .
Quiroga-Martinez DR, Hansen NC, Højlund A, Pearce M, Brattico E, Vuust P ( 2020 ) . Decomposing neural responses to melodic surprise in musicians and non-musicians: Evidence for a hierarchy of predictions in the auditory system . NeuroImage vol. 215 ,
Clemente A, Vila-Vidal M, Pearce MT, Aguiló G, Corradi G, Nadal M ( 2020 ) . A Set of 200 Musical Stimuli Varying in Balance, Contour, Symmetry, and Complexity: Behavioral and Computational Assessments . Behavioral Research Methods
Harrison PMC, Pearce MT ( 2020 ) . A computational cognitive model for the analysis and generation of voice leadings . Music Perception vol. 37 , ( 3 ) 208 - 224 .
Quiroga-Martinez DR, Hansen NC, Højlund A, Pearce M, Brattico E, Vuust P ( 2020 ) . Musical prediction error responses similarly reduced by predictive uncertainty in musicians and non-musicians . European Journal of Neuroscience
Quiroga-Martinez DR, C Hansen N, Højlund A, Pearce M, Brattico E, Vuust P ( 2019 ) . Musical prediction error responses similarly reduced by predictive uncertainty in musicians and non-musicians . European Journal of Neuroscience
Harrison P, Pearce M ( 2019 ) . Simultaneous consonance in music perception and composition . Psychological Review
Pearce M, Sauvé S ( 2019 ) . Information-theoretic Modeling of Perceived Musical Complexity . Music Perception
Cheung V, HARRISON PMC, Meyer L, Pearce M, Haynes J-D, Koelsch S ( 2019 ) . Uncertainty and Surprise Jointly Predict Musical Pleasure and Amygdala, Hippocampus, and Auditory Cortex Activity . Current Biology
Zioga I, Harrison P, Pearce M, Bhattacharya J, Di Bernardi Luft C ( 2019 ) . From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity . NeuroImage
Gold B, Pearce M, Mas-Herrero E, Dagher A, Zatorre RJ ( 2019 ) . Predictability and uncertainty in the pleasure of music: a reward for learning? . The Journal of Neuroscience
de Fleurian R, Harrison PMC, Pearce MT, Quiroga-Martinez DR ( 2019 ) . Reward prediction tells us less than expected about musical pleasure . Proc Natl Acad Sci U S A
Cameron DJ, Zioga I, Lindsen JP, Pearce MT, Wiggins GA, Potter K, Bhattacharya J ( 2019 ) . Neural entrainment is associated with subjective groove and complexity for performed but not mechanical musical rhythms . Experimental Brain Research vol. 237 , ( 8 ) 1981 - 1991 .
Quiroga-Martinez DR, Hansen NC, Højlund A, Pearce MT, Brattico E, Vuust P ( 2019 ) . Reduced prediction error responses in high-as compared to low-uncertainty musical contexts . Cortex vol. 120 , 181 - 200 .
Omigie D, Pearce M, Lehongre K, Hasboun D, Navarro V, Adam C, Samson S ( 2019 ) . Intracranial Recordings and Computational Modeling of Music Reveal the Time Course of Prediction Error Signaling in Frontal and Temporal Cortices . J Cogn Neurosci vol. 31 , ( 6 ) 855 - 873 .
Sears DRW, Pearce MT, Spitzer J, Caplin WE, McAdams S ( 2018 ) . Expectations for tonal cadences: Sensory and cognitive priming effects . Q J Exp Psychol (Hove)1747021818814472 - 1747021818814472 .
Duffy S, Pearce M ( 2018 ) . What makes rhythms hard to perform? An investigation using Steve Reich's Clapping Music . PLoS One vol. 13 , ( 10 ) e0205847 - e0205847 .
Quiroga-Martinez DR, Hansen NC, Højlund A, Pearce M, Brattico E, Vuust P ( 2018 ) . Reduced prediction error responses in high- as compared to low-uncertainty musical contexts . bioRxiv
PEARCE MT ( 2018 ) . Statistical Learning and Probabilistic Prediction in Music Cognition: Mechanisms of Stylistic Enculturation . Annals of the New York Academy of Sciences
Sauvé SA, Sayed A, Dean RT, Pearce MT ( 2018 ) . Effects of Pitch and Timing Expectancy on Musical Emotion . Psychomusicology Music Mind and Brain vol. 28 , ( 1 ) 17 - 39 .
Harrison PMC, Pearce MT ( 2018 ) . An energy-based generative sequence model for testing sensory theories of Western harmony . Proceedings of the 19th International Society for Music Information Retrieval Conference, ISMIR 2018 . 160 - 167 .
Rohrmeier M, Pearce M ( 2018 ) . Musical Syntax I: Theoretical Perspectives . Springer Handbooks ,
Pearce M, Rohrmeier M ( 2018 ) . Musical Syntax II: Empirical Perspectives . Springer Handbooks ,
Sears DRW, PEARCE MT, Caplin WE, McAdams S ( 2017 ) . Simulating melodic and harmonic expectations for tonal cadences using probabilistic models . Journal of New Music Research
Cameron D, Potter K, Wiggins G, PEARCE MT ( 2017 ) . Perception of Rhythmic Similarity is Asymmetrical, and Is Influenced by Musical Training, Expressive Performance, and Musical Context . Timing and Time Perception
van der Weij B, Pearce MT, Honing H ( 2017 ) . A Probabilistic Model of Meter Perception: Simulating Enculturation . Front Psychol vol. 8 , 824 - 824 .
Pearce M, Müllensiefen D ( 2017 ) . Compression-based Modelling of Musical Similarity Perception . Journal of New Music Research vol. 46 , ( 2 ) 135 - 155 .
Agres K, Abdallah S, Pearce M ( 2017 ) . Information-Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory . Cognitive Science
Halpern AR, Zioga I, Shankleman M, Lindsen J, Pearce MT, Bhattacharya J ( 2017 ) . That note sounds wrong! Age-related effects in processing of musical expectation . Brain Cogn vol. 113 , 1 - 9 .
Hansen NC, Vuust P, Pearce M ( 2016 ) . "If You Have to Ask, You'll Never Know": Effects of Specialised Stylistic Expertise on Predictive Processing of Music . PLOS ONE vol. 11 , ( 10 ) e0163584 - e0163584 .
Bhattacharya J, Halpern A, Zioga L, Shankelman M, Lindsen J, Pearce M ( 2016 ) . Brains of older adults process melodic expectancy differently from those of younger adults . International Journal of Psychophysiology . Conference: Proceedings of the 18th World Congress of Psychophysiology vol. 108 , 72 - 73 .
Dean RT, Pearce MT ( 2016 ) . Algorithmically-generated Corpora that use Serial Compositional Principles Can Contribute to the Modeling of Sequential Pitch Structure in Non-tonal Music . Empirical Musicology Review vol. 11 , ( 1 ) 27 - 27 .
Hansen NC, Sadakata M, Pearce M ( 2016 ) . Nonlinear Changes in the Rhythm of European Art Music: Quantitative Support for Historical Musicology . Music Perception: An Interdisciplinary Journal vol. 33 , ( 4 ) 414 - 431 .
Gingras B, Pearce MT, Goodchild M, Dean RT, Wiggins G, McAdams S ( 2016 ) . Linking melodic expectation to expressive performance timing and perceived musical tension . Journal of Experimental Psychology: Human Perception and Performance vol. 42 , ( 4 ) 594 - 609 .
Pearce MT, Zaidel DW, Vartanian O, Skov M, Leder H, Chatterjee A, Nadal M ( 2016 ) . Neuroaesthetics: The Cognitive Neuroscience of Aesthetic Experience . Perspectives on Psychological Science vol. 11 , ( 2 ) 265 - 279 .
Barascud N, Pearce MT, Griffiths TD, Friston KJ, Chait M ( 2016 ) . Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns . Proceedings of the National Academy of Sciences of the United States of America vol. 113 , ( 5 ) E616 - E625 .
PEARCE MT, Schubert E ( 2016 ) . A New Look at Musical Expectancy: The Veridical Versus the General in the Mental Organization of Music . Music, Mind, and Embodiment , Editors: Kronland-Martinet, R, Aramaki, M, Ystad, S , Springer
Song Y, Dixon S, Pearce MT, Halpern AR ( 2016 ) . Perceived and Induced Emotion Responses to Popular Music: Categorical and Dimensional Models . Music Perception vol. 33 , ( 4 ) 472 - 492 .
Pearce MT, Halpern AR ( 2015 ) . Age-related patterns in emotions evoked by music . Psychology of Aesthetics, Creativity, and the Arts vol. 9 , ( 3 ) 248 - 253 .
Carey D, Rosen S, Krishnan S, Pearce MT, Shepherd A, Aydelott J, Dick F ( 2015 ) . Generality and specificity in the effects of musical expertise on perception and cognition . Cognition vol. 137 , 81 - 105 .
Song C, Pearce M, Harte C ( 2015 ) . Synpy: A python toolkit for syncopation modelling . Proceedings of the 12th International Conference in Sound and Music Computing, SMC 2015 . 295 - 300 .
Hansen NC, Pearce MT ( 2014 ) . Predictive uncertainty in auditory sequence processing . Front Psychol vol. 5 ,
Whorley R, Wiggins GA, Rhodes CS, Pearce MT ( 2013 ) . Multiple Viewpoint Systems: Time Complexity and the Construction of Domains for Complex Musical Viewpoints . Journal of New Musical Research
Bailes F, Dean RT, Pearce MT ( 2013 ) . Music cognition as mental time travel . Scientific Reports vol. 3 ,
Omigie D, Pearce MT, Williamson VJ, Stewart L ( 2013 ) . Electrophysiological correlates of melodic processing in congenital amusia . NEUROPSYCHOLOGIA vol. 51 , ( 9 ) 1749 - 1762 .
Cherla S, Weyde T, d’Avila Garcez A, Pearce M ( 2013 ) . A distributed model for multiple-viewpoint melodic prediction . Proceedings of the 14th International Society for Music Information Retrieval Conference, ISMIR 2013 . 15 - 20 .
Agres K, Abdallah S, Pearce M ( 2013 ) . An Information-Theoretic Account of Musical Expectation and Memory . Cooperative Minds: Social Interaction and Group Dynamics - Proceedings of the 35th Annual Meeting of the Cognitive Science Society, CogSci 2013 . 127 - 132 .
Song Y, Dixon S, Pearce M, Halpern A ( 2013 ) . Do online social tags predict perceived or induced emotional responses to music? . Proceedings of the 14th International Society for Music Information Retrieval Conference, ISMIR 2013 . 89 - 94 .
Omigie D, Pearce MT, Stewart L, Williamson VJ ( 2013 ) . Electrophysiological correlates of melodic processing in congenital amusia . Neuropsychologia
Whorley R, Rhodes C, Wiggins G, Pearce M ( 2013 ) . Harmonising melodies: Why do we add the bass line first? . Proceedings of the 4th International Conference on Computational Creativity, ICCC 2013 . 79 - 86 .
Pearce M, Rohrmeier M, Loui P, Large E, Kim JC, Toiviainen P, Brattico E ( 2013 ) . Music cognition: Bridging computation and insights from cognitive neuroscience . Cooperative Minds: Social Interaction and Group Dynamics - Proceedings of the 35th Annual Meeting of the Cognitive Science Society, CogSci 2013 . 99 - 100 .
Egermann H, Pearce MT, Wiggins GA, McAdams S ( 2013 ) . Probabilistic models of expectation violation predict psychophysiological emotional responses to live concert music . Cognitive, Affective and Behavioral Neuroscience vol. 13 , ( 3 ) 533 - 553 .
Song C, Simpson AJR, Harte CA, Pearce MT, Sandler MB ( 2013 ) . Syncopation and the score . PLoS One vol. 8 , ( 9 )
Brattico E, Pearce MT ( 2013 ) . The Neuroaesthetics of Music . Psychology of Aesthetics, Creativity and the Arts vol. 7 , ( 1 ) 48 - 61 .
Pearce M, Rohrmeier M ( 2012 ) . Music Cognition and the Cognitive Sciences . Topics in Cognitive Science vol. 4 , ( 4 ) 468 - 484 .
Pearce MT, Wiggins GA ( 2012 ) . Auditory Expectation: The Information Dynamics of Music Perception and Cognition . Topics in Cognitive Science vol. 4 , ( 4 ) 625 - 652 .
Pearce MT, Christensen JF ( 2012 ) . Conference Report: The Neurosciences and Music - IV - Learning and Memory . Psychomusicology vol. 22 , ( 1 ) 70 - 73 .
Song Y, Dixon S, Pearce M ( 2012 ) . Evaluation of musical features for emotion classification . Proceedings of the 13th International Society for Music Information Retrieval Conference, ISMIR 2012 . 523 - 528 .
Carrus E, Pearce MT, Bhattacharya J ( 2012 ) . Melodic pitch expectation interacts with neural responses to syntactic but not semantic violations . Cortex vol. 49 , ( 8 ) 2186 - 2200 .
Omigie D, Pearce MT, Stewart L ( 2012 ) . Tracking of pitch probabilities in congenital amusia . Neuropsychologia vol. 50 , ( 7 ) 1483 - 1493 .
Pearce MT, Müllensiefen D, Wiggins GA ( 2010 ) . The role of expectation and probabilistic learning in auditory boundary perception: a model comparison . Perception vol. 39 , ( 10 ) 1365 - 1389 .
Whorley R, Wiggins GA, Rhodes C, Pearce MT ( 2010 ) . Development of Techniques for the Computational Modelling of Harmony . Proceedings of the First International Conference on Computational Creativity . Editors: Ventura, others ,
Pearce MT, Müllensiefen D, Wiggins GA ( 2010 ) . Melodic Grouping in Music Information Retrieval: New Methods and Applications . Advances in Music Information Retrieval , Editors: Ras, Z, Wieczorkowska, A , vol. 274 , Springer ( Berlin/Heidelberg ),
Pearce MT, Müllensiefen D, Wiggins GA ( 2010 ) . Melodic grouping in music information retrieval: New methods and applications . Studies in Computational Intelligence vol. 274 , 365 - 389 .
Wiggins GA, Müllensiefen D, Pearce MT ( 2010 ) . On the non-existence of Music: Why music theory is a figment of the imagination . Musicae Scientiae vol. Discussion Forum 5 , 231 - 255 .
Nadal M, Pearce MT ( 2010 ) . The Copenhagen Neuroaesthetics conference: Prospects and pitfalls for an emerging field . Brain and Cognition vol. 76 , 172 - 183 .
Pearce MT, Müllensiefen D, Wiggins GA ( 2010 ) . The role of expectation and probabilistic learning in auditory boundary perception: A model comparison . Perception vol. 39 , ( 10 ) 1367 - 1391 .
Pearce MT, Herrojo Ruiz M, Kapasi S, Wiggins GA, Bhattacharya J ( 2010 ) . Unsupervised Statistical Learning Underpins Computational, Behavioural and Neural Manifestations of Musical Expectation . NeuroImage vol. 50 , Article 1 , 303 - 313 .
Pearce MT, Ruiz MH, Kapasi S, Wiggins GA, Bhattacharya J ( 2010 ) . Unsupervised statistical learning underpins computational, behavioural and neural manifestations of musical expectation . NeuroImage vol. 50 , 302 - 313 .
Wiggins GA, Pearce MT, Müllensiefen D ( 2009 ) . Computational Modelling of Music Cognition and Musical Creativity . Oxford Handbook of Computer Music , Editors: Dean, R , Oxford University Press
Rohrmeier M, Honing H, Rebuschat P, Loui P, Wiggins G, Pearce MT, Müllensiefen D ( 2009 ) . Music Cognition: Learning and Processing . Proceedings of the 31st Annual Conference of the Cognitive Science Society . Editors: Taatgen, NA, Rijn, HV , 41 - 42 .
Pearce MT ( 2009 ) . To beep or not to beep . Contemporary Music Review vol. 28 , Article 1 , 125-126 - 125-126 .
Pearce MT, Müllensiefen D, Wiggins GA ( 2008 ) . A comparison of statistical and rule-based models of melodic segmentation . Proceedings of the Ninth International Conference on Music Information Retrieval . Editors: Bello, JP, Chew, E , 89 - 94 .
Pearce MT, Müllensiefen D ( 2008 ) . David Huron, Sweet Anticipation: Music and the Psychology of Expectation. Cambridge, Massachusetts: MIT Press, 2007, 512 pp., ISBN 0262083450, (Hardcover) . Musicæ Scientiæ vol. 12 , Article 1 ,
Pearce MT, Müllensiefen D, Lewis D, Rhodes CS ( 2007 ) . David Temperley, Music and Probability. Cambridge, Massachusetts: MIT Press, 2007, ISBN-13: 978-0-262-20166-7 (hardcover) $40.00 . Empirical Musicology Review vol. 2 , Article 4 , 155 - 163 .
Pearce MT, Wiggins GA ( 2007 ) . Evaluating cognitive models of musical composition . Proceedings of the 4th International Joint Workshop on Computational Creativity . Editors: Cardoso, A, Wiggins, GA , 73 - 80 .
Whorley RP, Wiggins GA, Pearce MT ( 2007 ) . Systematic Evaluation and Improvement of Statistical Models of Harmony . Proceedings of the 4th International Joint Workshop on Computational Creativity . Editors: Cardoso, A, Wiggins, GA , 81 - 88 .
Potter K, Wiggins GA, Pearce MT ( 2007 ) . Towards greater objectivity in music theory: Information-dynamic analysis of minimalist music . Musicæ Scientiæ vol. 11 , Article 2 , 295 - 322 .
Pearce MT, Wiggins GA ( 2006 ) . Expectation in Melody: The Influence of Context and Learning . Music Perception vol. 23 , Article 5 , 377 - 405 .
Pearce MT, Wiggins GA ( 2006 ) . The information dynamics of melodic boundary detection . Proceedings of the Ninth International Conference of Music Perception and Cognition . Editors: Baroni, M, Addessi, AR, Caterina, R, Costa, M et al. , 860 - 867 .
Pearce MT, Conklin D, Wiggins GA ( 2005 ) . Methods for Combining Statistical Models of Music . Computer Music Modelling and Retrieval , Editors: Wiil, UK , Springer Verlag ( Heidelberg, Germany ),
Pearce MT ( 2005 ) . The Construction and Evaluation of Statistical Models of Melodic Structure in Music Perception and Composition . Notes: date-modified: 2012-02-29 16:11:06 +0000 bdsk-url-1: http://www.doc.gold.ac.uk/ mas01mtp/papers/Pearce2005.pdf ,
Pearce MT, Wiggins GA ( 2004 ) . Improved Methods for Statistical Modelling of Monophonic Music . Journal of New Music Research vol. 33 , Article 4 , 367 - 385 .
Pearce MT, Wiggins GA ( 2004 ) . Rethinking Gestalt Influences on Melodic Expectancy . Proceedings of the Eighth International Conference of Music Perception and Cognition . Editors: Lipscomb, SD, Ashley, R, Gjerdingen, RO, Webster, P et al. , 367 - 371 .
Pearce MT, Meredith D ( 2004 ) . Review of the Third International Symposium on Computer Music Modelling and Retrieval . Computer Music Journal vol. 28 , Article 4 , 91 - 93 .
Pearce MT, Wiggins GA ( 2003 ) . An empirical comparison of the performance of PPM variants on a prediction task with monphonic music . Proceedings of the AISB’03 Symposium on Artificial Intelligence and Creativity in Arts and Science . 74 - 83 .
Pearce MT, Wiggins GA ( 2002 ) . Aspects of a cognitive theory of creativity in musical composition . Proceedings of the ECAI’02 Workshop on Creative Systems . 17 - 24 .
Pearce M, Wiggins GA, Meredith D ( 2001 ) . Motivations and Methodologies for Automation of the Compositional Process . Musicae Scientiae vol. 6 , Article 2 , 119 - 147 .
Pearce MT ( 2001 ) . Report on the ICCBR’01 Workshop on Creative Systems . AISB Quarterly vol. 102 , 6 - 7 .
Pearce MT, Wiggins GA ( 2001 ) . Towards a framework for the evaluation of machine compositions . Proceedings of the AISB’01 Symposium on Artificial Intelligence and Creativity in the Arts and Sciences . 22 - 32 .