Pearce, M. T. & Müllensiefen, D. (2017). Compression-based Modelling of Musical Similarity Perception. Journal of New Music Research, 46, 135-155. doi: 10.1080/09298215.2017.1305419

Agres, K., Abdallah, S., & Pearce, M. T. (2017). Information-theoretic properties of auditory sequences dynamically influence expectation and memory. Cognitive Science. In press. doi: 10.1111/cogs.12477

Van der Weij, B., Pearce, M. T., & Honing H. (2017). A probabilistic model of meter perception: simulating enculturation. Frontiers in Psychology, 8, 824. doi: 10.3389/fpsyg.2017.00824

Sears, D., Pearce, M. T., Caplin, W. E., & McAdams, S. (2017). Simulating melodic and harmonic expectations for tonal cadences using probabilistic models. Journal of New Music Research. In press. doi: 10.1080/09298215.2017.1367010

Cameron, D., Potter, K., Wiggins, G., & Pearce, M. T. (2017). Perception of rhythmic similarity is asymmetrical, and is influenced by musical training, expressive performance, and musical context. Timing and Time Perception. In press. doi: 10.1163/22134468-00002085

Halpern, A., Zioga, I., Shankleman, M., Lindsen, J., Pearce, M. T., & Bhattacharya, J. (2017). That note sounds wrong! Age-related effects in processing of musical expectation. Brain and Cognition, 113, 1-9. doi: 10.1016/j.bandc.2016.12.006

Harrison, P. M. C. (2017). Jordan B. L. Smith, Elaine Chew, & Gérard Assayag (editors), Mathemusical conversations: Mathematics and computation in music performance and composition. Empirical Musicology Review, 12(1-2), 109-114.

Harrison, P. M. C., Collins, T., & Müllensiefen, D. (2017). Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation. Scientific Reports, 7, 3618. doi:10.1038/s41598-017-03586-z

Pearce, M. T., & Eerola, T. (2017). Predictive modelling of music perception in historical audiences. Journal of Interdisciplinary Music Studies, 8, 91-120.

Eerola, T., & Pearce, M. T. (2017). Modelling historical audiences: What can be inferred? Journal of Interdisciplinary Music Studies, 8, 132-140.

Rohrmeier, M. & Pearce, M. T. (In press). Musical syntax I: Theoretical perspectives. In S. Koelsch (ed.) Handbook of Systematic Musicology. Springer.

Pearce, M. T. & Rohrmeier, M. (In press). Musical syntax II: Empirical perspectives. In S. Koelsch (ed.) Handbook of Systematic Musicology. Springer.


Barascud, N., Pearce, M. T., Griffiths, T. D., Friston, K. J., & Chait, M. (2016). Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns. Proceedings of the National Academy of Sciences, 113, E616-E625. doi: 10.1073/pnas.1508523113

Pearce, M. T., Zaidel, D. W., Vartanian, O., Skov, M., Leder, M., Chatterjee, A., & Nadal, M. (2016). Neuroaesthetics: the cognitive neuroscience of aesthetic experience. Perspectives in Psychological Science, 11, 265-279. doi: 10.1177/1745691615621274

Gingras, B., Pearce, M. T., Goodchild, M., Dean, R. T., Wiggins, G., & McAdams, S. (2016). Linking melodic expectation to expressive performance timing and perceived musical tension. Journal of Experimental Psychology: Human Perception and Performance, 42, 594-609. doi: 10.1037/xhp0000141

Hansen, N. C., Vuust, P. & Pearce, M. T. (2016). “If you have to ask, you’ll never know”: Effects of specialised stylistic expertise on predictive processing of music. PLoS One, 11(10), e0163584. doi: 10.1371/journal.pone.0163584

Harrison, P. M. C., Musil, J. J., & Müllensiefen, D. (2016). Modelling melodic discrimination tests: descriptive and explanatory approaches. Journal of New Music Research, 45(3), 265-280. doi:10.1080/09298215.2016.1197953

Song, Y., Dixon, S., Pearce, M. T., & Halpern, A. (2016). Perceived and induced emotion responses to popular music: Categorical and Dimensional Models. Music Perception, 33, 472-492. doi: 10.1525/mp.2016.33.4.472

Dean, R.T. & Pearce, M. T. (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, 11, 27–46. doi: 10.18061/emr.v11i1.4900

Schubert, E. & Pearce, M. T. (2016). A new look at musical expectancy: The veridical versus the general in the mental organization of music. In R. Kronland-Martinet, M. Aramaki, and S. Ystad (eds.), Music, Mind and Embodiment (pp. 358–370). Switzerland: Springer International. doi: 10.1007/978-3-319-46282-0_23

Hansen, N. C., Sadakata, M., & Pearce, M. T. (2016). Nonlinear changes in the rhythm of European art music: Quantitative support for historical musicology. Music Perception, 33, 414-431. doi: 10.1525/mp.2016.33.4.414


Pearce, M. T. (2015). Effects of expertise on the cognitive and neural processes involved in musical appreciation. In J.P. Huston, M. Nadal, L. Agnati, F. Mora, and C.J. Cela-Conde (eds.), The Oxford Handbook of Neuroaesthetics (pp. 319-338). Oxford: Oxford University Press.

Pearce, M. T. & Halpern, A. R. (2015). Age-related patterns in emotions evoked by music. Psychology of Aesthetics, Creativity and the Arts, 9, 248-253.

Carey, D., Rosen, S., Krishnan, S., Pearce, M.T., Shepherd, A., Aydelott, J., & Dick, F. (2015). Generality and specificity in the effects of musical expertise on perception and cognition. Cognition, 137, 81-105.


Hansen, N. C. & Pearce M. T. (2014). Predictive uncertainty in auditory sequence processing. Frontiers in Psychology, 5, 1052. doi: 10.3389/fpsyg.2014.01052

Duffy, S., & Healey, P. G. T. (2014). The Conversational Organisation of Musical Contributions. Psychology of Music, 42(6), 888–893.


Brattico, E. & Pearce, M. T. (2013). The neuroaesthetics of music. Psychology of Aesthetics, Creativity and the Arts, 7, 48-61.

Omigie, D., Pearce, M. T., Williamson, V., & Stewart, L. (2013). Electrophysiological correlates of melodic processing in congenital amusia. Neuropsychologia, 51, 1749-1762.

Egermann, H., Pearce, M. T., Wiggins, G. A., & McAdams. (2013). Probabilistic models of expectation violation predict psychophysiological emotional responses to live concert music. Cognitive, Affective and Behavioural Neuroscience, 13, 533-553. doi: 10.3758/s13415-013-0161-y

Bailes, F., Dean, R. T., & Pearce M. T. (2013). Music cognition as mental time travel. Scientific Reports, 3, 2690. doi: 10.1038/srep02690

Song C., Simpson A. J. R., Harte C. A., Pearce M. T., & Sandler M. B. (2013). Syncopation and the Score. PLoS ONE 8(9): e74692. doi: 10.1371/journal.pone.0074692

Whorley, R., Wiggins, G., Rhodes, C. & Pearce, M. T. (2013). Multiple Viewpoint Systems: Time Complexity and the Construction of Domains for Complex Musical Viewpoints in the Harmonisation Problem. Journal of New Music Research, 42, 237-266.

Cherla, S., Weyde, T., Garcez, A. d’Avila & Pearce, M. T. (2013). Learning Distributed Representations for Multiple-Viewpoint Melodic Prediction. Paper presented at the 14th International Society for Music Information Retrieval Conference, 4 – 8 Nov 2013, Curtiba, PR, Brazil.

Agres, K., Abdallah, S., & Pearce, M. T. (2013). An Information-Theoretic Account of Musical Expectation and Memory. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 127-132). Austin, Texas: Cognitive Science Society.

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 (ISMIR), 4-8 Nov 2013, Brazil.

Song, Y., Dixon, S. & Pearce, M. (2013). Using Tags to Select Stimuli in the Study of Music and Emotion. Proceedings of the 3rd International Conference on Music and Emotion (ICME), 11-15 Jun 2013, Finland.


Carrus, E., Pearce, M. T., & Bhattacharya, J. (2012). Melodic pitch expectation interacts with neural responses to syntactic but not semantic violations. Cortex. doi: 10.1016/j.cortex.2012.08.024.

Pearce, M. T. & Rohrmeier, M. (2012). Music cognition and the cognitive sciences. TopiCS in Cognitive Science, 4, 468-484.

Cameron, D. J., Stewart, L., Pearce, M. T., Grube, M., & Muggleton, N. G. (2012). Modulation of motor excitability by metricality of tone sequences. Psychomusicology, 22, 122-128.

Omigie, D., Pearce, M. T., & Stewart, L. (2012). Tracking of pitch probabilities in congenital amusia. Neuropsychologia, 50, 1483-1493. doi: j.neuropsychologia.2012.02.034

Pearce, M. T. & Wiggins, G. A. (2012). Auditory expectation: The information dynamics of music perception and cognition. TopiCS in Cognitive Science, 4, 625-652.

Pearce, M. T., Christensen, J.F. (2012). Conference Report: The Neurosciences and Music – IV – Learning and Memory.Psychomusicology, 22, 70-73

Song, Y., Dixon, S., & Pearce, M. T. (2012). Evaluation of Musical Features for Emotion Classification. In proceedings of the 13th International Society for Music Information Retrieval (ISMIR), 8-12 Oct 2012, Portugal.

Song, Y., Dixon, S., & Pearce, M. T. (2012). A Survey of Music Recommendation Systems and Future Perspectives. In proceedings of the 9th International Symposium on Computer Music Modelling and Retrieval (CMMR), 19-22 Jun 2012, London


Pearce, M. T. (2011). Time-series analysis of Music: Perceptual and Information Dynamics. Empirical Musicology Review, 6, 125-130.

Nadal, M., & Pearce, M. T. (2011). The Copenhagen Neuroaesthetics conference: Prospects and pitfalls for an emerging field. Brain and Cognition, 76, 172-183.