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Publications:  Dr Marcus Pearce

PEARCE MT(2018). Statistical Learning and Probabilistic Prediction in Music Cognition: Mechanisms of Stylistic Enculturation. Annals of the New York Academy of Sciences
10.1111/nyas.13654
http://qmro.qmul.ac.uk/xmlui/handle/123456789/38384
Sears DRW, PEARCE MT, Caplin WE et al.(2017). Simulating melodic and harmonic expectations for tonal cadences using probabilistic models. Journal of New Music Research
10.1080/09298215.2017.1367010
http://qmro.qmul.ac.uk/xmlui/handle/123456789/26012
Cameron D, Potter K, Wiggins G et al.(2017). Perception of Rhythmic Similarity is Asymmetrical, and Is Influenced by Musical Training, Expressive Performance, and Musical Context. Timing and Time Perception
10.1163/22134468-00002085
http://qmro.qmul.ac.uk/xmlui/handle/123456789/22707
van der Weij B, Pearce MT, Honing H(2017). A Probabilistic Model of Meter Perception: Simulating Enculturation. Front Psychol vol. 8, 824-824.
10.3389/fpsyg.2017.00824
http://qmro.qmul.ac.uk/xmlui/handle/123456789/24485
Pearce M, Müllensiefen D(2017). Compression-based Modelling of Musical Similarity Perception. Journal of New Music Research vol. 46, (2) 135-155.
10.1080/09298215.2017.1305419
http://qmro.qmul.ac.uk/xmlui/handle/123456789/22501
Agres K, Abdallah S, Pearce M(2017). Information-Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory. Cognitive Science
10.1111/cogs.12477
http://qmro.qmul.ac.uk/xmlui/handle/123456789/19783
Halpern AR, Zioga I, Shankleman M et al.(2017). That note sounds wrong! Age-related effects in processing of musical expectation. Brain Cogn vol. 113, 1-9.
10.1016/j.bandc.2016.12.006
http://qmro.qmul.ac.uk/xmlui/handle/123456789/25765
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.
10.1371/journal.pone.0163584
http://qmro.qmul.ac.uk/xmlui/handle/123456789/17664
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.
10.18061/emr.v11i1.4900
http://qmro.qmul.ac.uk/xmlui/handle/123456789/17671
Gingras B, Pearce MT, Goodchild M et al.(2016). Linking melodic expectation to expressive performance timing and perceived musical tension. J Exp Psychol Hum Percept Perform vol. 42, (4) 594-609.
10.1037/xhp0000141
http://qmro.qmul.ac.uk/xmlui/handle/123456789/10881
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.
10.1525/mp.2016.33.4.414
http://qmro.qmul.ac.uk/xmlui/handle/123456789/17691
Pearce MT, Zaidel DW, Vartanian O et al.(2016). Neuroaesthetics: The Cognitive Neuroscience of Aesthetic Experience. Perspect Psychol Sci vol. 11, (2) 265-279.
10.1177/1745691615621274
http://qmro.qmul.ac.uk/xmlui/handle/123456789/12033
Barascud N, Pearce MT, Griffiths TD et al.(2016). Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns. Proc Natl Acad Sci U S A vol. 113, (5) E616-E625.
10.1073/pnas.1508523113
http://qmro.qmul.ac.uk/xmlui/handle/123456789/12031
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
http://qmro.qmul.ac.uk/xmlui/handle/123456789/18233
Song Y, Dixon S, Pearce MT et al.(2016). Perceived and Induced Emotion Responses to Popular Music: Categorical and Dimensional Models. Music Perception vol. 33, (4) 472-492.
10.1525/MP.2016.33.4.472
http://qmro.qmul.ac.uk/xmlui/handle/123456789/11214
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.
10.1037/a0039279
Carey D, Rosen S, Krishnan S et al.(2015). Generality and specificity in the effects of musical expertise on perception and cognition. Cognition vol. 137, 81-105.
10.1016/j.cognition.2014.12.005
http://qmro.qmul.ac.uk/xmlui/handle/123456789/6790
Hansen NC, Pearce MT(2014). Predictive uncertainty in auditory sequence processing. Front Psychol vol. 5,
10.3389/fpsyg.2014.01052
http://qmro.qmul.ac.uk/xmlui/handle/123456789/6446
Whorley R, Wiggins GA, Rhodes CS et al.(2013). Multiple Viewpoint Systems: Time Complexity and the Construction of Domains for Complex Musical Viewpoints. Journal of New Musical Research
10.1080/09298215.2013.831457
http://qmro.qmul.ac.uk/xmlui/handle/123456789/10883
Omigie D, Pearce MT, Williamson VJ et al.(2013). Electrophysiological correlates of melodic processing in congenital amusia. NEUROPSYCHOLOGIA vol. 51, (9) 1749-1762.
10.1016/j.neuropsychologia.2013.05.010
Omigie D, Pearce MT, Stewart L et al.(2013). Electrophysiological correlates of melodic processing in congenital amusia. Neuropsychologia
10.1016/j.neuropsychologia.2013.05.010.
Egermann H, Pearce MT, Wiggins GA et al.(2013). Probabilistic models of expectation violation predict psychophysiological emotional responses to live concert music. Cognitive, Affective and Behavioral Neuroscience vol. 13, (3) 533-553.
10.3758/s13415-013-0161-y
http://qmro.qmul.ac.uk/xmlui/handle/123456789/12125
Song C, Simpson AJR, Harte CA et al.(2013). Syncopation and the score. PLoS One vol. 8, (9)
10.1371/journal.pone.0074692
http://qmro.qmul.ac.uk/xmlui/handle/123456789/10967
Brattico E, Pearce MT(2013). The Neuroaesthetics of Music. Psychology of Aesthetics, Creativity and the Arts vol. 7, (1) 48-61.
Pearce MT, Wiggins GA(2012). Auditory Expectation: The Information Dynamics of Music Perception and Cognition. Topics in Cognitive Science vol. 4, (4) 625-652.
10.1111/j.1756-8765.2012.01214
Pearce MT, Christensen JF(2012). Conference Report: The Neurosciences and Music - IV - Learning and Memory. Psychomusicology vol. 22, (1) 70-73.
10.1037/a0027235
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.
10.1016/j.cortex.2012.08.024
Omigie D, Pearce MT, Stewart L(2012). Tracking of pitch probabilities in congenital amusia. Neuropsychologia vol. 50, (7) 1483-1493.
10.1016/j.neuropsychologia.2012.02.034
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.
10.1007/978-3-642-11674-2-16
Whorley R, Wiggins GA, Rhodes C et al. (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),
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.
10.1177/10298649100140S110
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.
10.1068/p6507
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.
10.1068/p6507
Pearce MT, Herrojo Ruiz M, Kapasi S et al.(2010). Unsupervised Statistical Learning Underpins Computational, Behavioural and Neural Manifestations of Musical Expectation. NeuroImage vol. 50, Article 1, 303-313.
10.1016/j.neuroimage.2009.12.019
Pearce MT, Ruiz MH, Kapasi S et al.(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 et al. (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 et al.(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.
10.1177/102986490701100207
Pearce MT, Wiggins GA(2006). Expectation in Melody: The Influence of Context and Learning. Music Perception vol. 23, Article 5, 377-405.
10.1525/mp.2006.23.5.377
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.
10.1177/102986490200600203
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.
Pearce MT (2000). Generating Rhythmic Patterns: A Combined Neural and Evolutionary Approach. Notes: date-modified: 2012-02-29 16:11:06 +0000 ,
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