Publications

Peter M. C. Harrison (2020). psychTestR: An R package for designing and conducting behavioural psychological experiments. PsyArXiv.

Peter M. C. Harrison, Marcus Pearce (2020). Representing harmony in computational music cognition. PsyArXiv.

Peter M. C. Harrison, Roberta Bianco, Maria Chait, Marcus T. Pearce (2020). PPM-Decay: A computational model of auditory prediction with memory decay. bioRxiv.

Vincent Cheung, Peter M. C. Harrison, Lars Meyer, Marcus Pearce, John-Dylan Haynes, Stefan Koelsch (2019). Uncertainty and surprise jointly predict musical pleasure and amygdala, hippocampus, and auditory cortex activity. Current Biology.

Ioanna Zioga, Peter M. C. Harrison, Marcus T. Pearce, Joydeep Bhattacharya, Caroline D. B. Luft (2019). From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity. NeuroImage.

Peter M. C. Harrison, Marcus Pearce (2019). A computational cognitive model for the analysis and generation of voice leadings. Music Perception.

Rémi de Fleurian, Peter M. C. Harrison, Marcus T. Pearce, David R. Quiroga-Martinez (2019). Reward prediction tells us less than expected about musical pleasure. Proceedings of the National Academy of Sciences.

Peter M. C. Harrison, Marcus T. Pearce (2019). Simultaneous consonance in music perception and composition. Psychological Review.

Rebecca Gelding, Peter M. C. Harrison, Seb Silas, Blake W. Johnson, William Forde Thompson, Daniel Müllensiefen (2019). Developing an efficient test of musical imagery ability: Applying modern psychometric techniques to the Pitch Imagery Arrow Task. PsyArXiv.

Pauline Larrouy-Maestri, Peter M. C. Harrison, Daniel Müllensiefen (2019). The Mistuning Perception Test: A new measurement instrument. Behavior Research Methods.

Peter M. C. Harrison (2018). Statistics and Experimental Design for Psychologists: A model comparison approach by Rory Allen (book review). PsyPAG Quarterly.

Peter M. C. Harrison, Daniel Müllensiefen (2018). Development and validation of the Computerised Adaptive Beat Alignment Test (CA-BAT). Scientific Reports.

Peter M. C. Harrison, Marcus T. Pearce (2018). Dissociating sensory and cognitive theories of harmony perception through computational modeling. Proceedings of ICMPC15/ESCOM10.

Peter M. C. Harrison, Marcus T. Pearce (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.

Peter M. C. Harrison, Tom Collins, Daniel Müllensiefen (2017). Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation. Scientific Reports.

Peter M. C. Harrison (2017). Mathemusical conversations: Mathematics and computation in music performance and composition. Empirical Musicology Review.

Peter M. C. Harrison, J. J. Musil, D. Müllensiefen (2016). Modelling melodic discrimination tests: Descriptive and explanatory approaches. Journal of New Music Research.

Daniel Müllensiefen, Peter M. C. Harrison, Francesco Caprini, Amy Fancourt (2015). Investigating the importance of self-theories of intelligence and musicality for students' academic and musical achievement. Frontiers in Psychology.

Peter M. C. Harrison, Max Hunter (2010). Pre-U Chemistry Revision Guide. Lulu Press.