Peter M. C. Harrison
Peter M. C. Harrison
Max Planck Institute for Empirical Aesthetics
Verified email at ae.mpg.de - Homepage
Title
Cited by
Cited by
Year
Applying modern psychometric techniques to melodic discrimination testing: Item response theory, computerised adaptive testing, and automatic item generation
PMC Harrison, T Collins, D Müllensiefen
Scientific Reports 7, 2017
232017
Investigating the importance of self-theories of intelligence and musicality for students' academic and musical achievement
D Müllensiefen, P Harrison, F Caprini, A Fancourt
Frontiers in psychology 6, 1702, 2015
232015
Modelling melodic discrimination tests: Descriptive and explanatory approaches
PMC Harrison, JJ Musil, D Müllensiefen
Journal of New Music Research 45 (3), 265-280, 2016
182016
Development and validation of the computerised adaptive beat alignment test (CA-BAT)
PMC Harrison, D Müllensiefen
Scientific reports 8 (1), 1-19, 2018
82018
Dissociating sensory and cognitive theories of harmony perception through computational modeling
PMC Harrison, MT Pearce
Proceedings of ICMPC15/ESCOM10, 194-199, 2018
82018
Uncertainty and surprise jointly predict musical pleasure and amygdala, hippocampus, and auditory cortex activity
VKM Cheung, PMC Harrison, L Meyer, MT Pearce, JD Haynes, S Koelsch
Current Biology 29 (23), 4084-4092. e4, 2019
72019
An energy-based generative sequence model for testing sensory theories of Western harmony
PMC Harrison, MT Pearce
19th International Society for Music Information Retrieval Conference, 160-167, 2018
62018
The mistuning perception test: A new measurement instrument
P Larrouy-Maestri, PMC Harrison, D Müllensiefen
Behavior research methods 51 (2), 663-675, 2019
42019
Simultaneous consonance in music perception and composition.
P Harrison, MT Pearce
Psychological Review 127 (2), 216, 2020
3*2020
From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity
I Zioga, PMC Harrison, MT Pearce, J Bhattacharya, CDB Luft
NeuroImage 206, 116311, 2020
22020
A statistical-learning model of harmony perception
PMC Harrison, MT Pearce
DMRN+ 12: Digital Music Research Network One-day Workshop 2017, 2017
22017
A Computational Cognitive Model for the Analysis and Generation of Voice Leadings
PMC Harrison, MT Pearce
Music Perception 37 (3), 208-224, 2020
12020
PPM-Decay: A Computational Model of Auditory Prediction with Memory Decay
PMC Harrison, R Bianco, M Chait, MT Pearce
bioRxiv, 2020
12020
Representing harmony in computational music cognition
P Harrison, M Pearce
PsyArXiv, 2020
12020
Reward prediction tells us less than expected about musical pleasure
R de Fleurian, PMC Harrison, MT Pearce, DR Quiroga-Martinez
Proceedings of the National Academy of Sciences 116 (42), 20813-20814, 2019
12019
Developing an efficient test of musical imagery ability: Applying modern psychometric techniques to the Pitch Imagery Arrow Task
R Gelding, P Harrison, S Silas, BW Johnson, WF Thompson, ...
PsyArXiv, 2019
12019
Constructing computerised adaptive tests of musical listening abilities
PMC Harrison
Master’s dissertation, Goldsmiths College, University of London, 2015
12015
Long-term implicit memory for sequential auditory patterns in humans
R Bianco, PMC Harrison, M Hu, C Bolger, S Picken, MT Pearce, M Chait
Elife 9, e56073, 2020
2020
Distinct roles of cognitive and sensory information in musical expectancy
VKM Cheung, P Harrison, S Koelsch, M Pearce, AD Friederici, L Meyer
PsyArXiv, 2020
2020
An efficient and adaptive test of auditory mental imagery
RW Gelding, PMC Harrison, S Silas, BW Johnson, WF Thompson, ...
PSYCHOLOGICAL RESEARCH-PSYCHOLOGISCHE FORSCHUNG, 2020
2020
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