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Computational cognitive modelling

Computational cognitive models seek to simulate human psychology using computer programs. These models can be used to make predictions about human behaviour, and to test hypotheses about how the human mind works. In the context of music psychology, they also have exciting applications in topics such as automatic music recommendation and music generation.

Related Publications

  • Frank, J., & Harrison, P. M. C. Modeling individual differences in chord pleasantness judgments Psychology of Aesthetics, Creativity, and the Arts (2026)
  • Whyatt, D. M., & Harrison, P. M. C. melody-features: A Python Package for Symbolic Melody Analysis Conference: Digital Music Research Network 20 (2025)
  • Marjieh, R., Harrison, P. M. C., Lee, H., Deligiannaki, F., & Jacoby, N. Timbral effects on consonance disentangle psychoacoustic mechanisms and suggest perceptual origins for musical scales Nature Communications (2024)
  • Harrison, P. M. C., Bianco, R., Chait, M., & Pearce, M. T. PPM-Decay: A computational model of auditory prediction with memory decay PLoS Computational Biology (2020)
  • Cheung, V. K. M., Harrison, P. M. C., Meyer, L., Pearce, M. T., Haynes, J.-D., & Koelsch, S. Uncertainty and surprise jointly predict musical pleasure and amygdala, hippocampus, and auditory cortex activity Current Biology (2019)
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