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Publications:  Dr Marcus Pearce

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
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
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 et al. (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.
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.
Pearce MT, Zaidel DW, Vartanian O et al. (2016) . Neuroaesthetics: The Cognitive Neuroscience of Aesthetic Experience.Perspect Psychol Sci vol. 11, (2) 265-279.
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.
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 et al. (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 et al. (2015) . Generality and specificity in the effects of musical expertise on perception and cognition.Cognition vol. 137, 81-105.
Hansen NC, Pearce MT (2014) . Predictive uncertainty in auditory sequence processing.Front Psychol vol. 5,
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
Omigie D, Pearce MT, Williamson VJ et al. (2013) . Electrophysiological correlates of melodic processing in congenital amusia.NEUROPSYCHOLOGIA vol. 51, (9) 1749-1762.
Omigie D, Pearce MT, Stewart L et al. (2013) . Electrophysiological correlates of melodic processing in congenital amusia.Neuropsychologia
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.
Song C, Simpson AJR, Harte CA et al. (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 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.
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.
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.
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, 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.
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.
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.
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: 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.
Pearce MT (2000) . Generating Rhythmic Patterns: A Combined Neural and Evolutionary Approach. Notes: date-modified: 2012-02-29 16:11:06 +0000 ,
Gingras B, Pearce MT, Goodchild M et al.. Linking melodic expectation to expressive performance timing and perceived musical tension.Journal of Experimental Psychology: Human Perception and Performance
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