Methods for Combining Statistical Models of Music. - Marcus T. Pearce; Darrell Conklin; Geraint A. Wiggins (CMMR, 2004)

The Second International Symposium on Computer Music Modeling and Retrieval (CMMR 2004) Aalborg University Esbjerg, Esbjerg, Denmark, 26-29 May 2004. - Marcus T. Pearce; David Meredith 001 (Comput. Music. J., 2004)

A Comparison of Statistical and Rule-Based Models of Melodic Segmentation. - Marcus T. Pearce; Daniel Müllensiefen; Geraint A. Wiggins (ISMIR, 2008)

Development of Techniques for the Computational Modelling of Harmony. - Raymond Whorley; Geraint A. Wiggins; Christophe Rhodes; Marcus T. Pearce (ICCC, 2010)

Unsupervised statistical learning underpins computational, behavioural, and neural manifestations of musical expectation. - Marcus T. Pearce; María Herrojo Ruiz; Selina Kapasi; Geraint A. Wiggins; Joydeep Bhattacharya (NeuroImage, 2010)

Melodic Grouping in Music Information Retrieval: New Methods and Applications. - Marcus T. Pearce; Daniel Müllensiefen; Geraint A. Wiggins (Advances in Music Information Retrieval, 2010)

Evaluation of Musical Features for Emotion Classification. - Yading Song; Simon Dixon; Marcus T. Pearce (ISMIR, 2012)

Music Cognition and the Cognitive Sciences. - Marcus T. Pearce; Martin Rohrmeier (Top. Cogn. Sci., 2012)

Auditory Expectation: The Information Dynamics of Music Perception and Cognition. - Marcus T. Pearce; Geraint A. Wiggins (Top. Cogn. Sci., 2012)

An Information-Theoretic Account of Musical Expectation and Memory. - Kat Agres; Samer Abdallah; Marcus T. Pearce (CogSci, 2013)

Predictive processing of musical structure: effects of genre-specific expertise. - Niels Christian Hansen; Peter Vuust; Marcus T. Pearce (CogSci, 2013)

Music cognition: Bridging computation and insights from cognitive neuroscience. - Marcus T. Pearce; Martin Rohrmeier; Petri Toiviainen; Elvira Brattico; Psyche Loui; Edward W. Large; Ji-Chul Kim (CogSci, 2013)

Harmonising Melodies: Why Do We Add the Bass Line First? - Raymond Whorley; Christophe Rhodes; Geraint A. Wiggins; Marcus T. Pearce (ICCC, 2013)

A Distributed Model For Multiple-Viewpoint Melodic Prediction. - Srikanth Cherla; Tillman Weyde; Artur S. d'Avila Garcez; Marcus T. Pearce (ISMIR, 2013)

Do Online Social Tags Predict Perceived or Induced Emotional Responses to Music? - Yading Song; Simon Dixon; Marcus T. Pearce; Andrea R. Halpern (ISMIR, 2013)

A New Look at Musical Expectancy: The Veridical Versus the General in the Mental Organization of Music. - Emery Schubert; Marcus T. Pearce (CMMR, 2015)

An Energy-based Generative Sequence Model for Testing Sensory Theories of Western Harmony. - Peter M. C. Harrison; Marcus T. Pearce (ISMIR, 2018)

Information-Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory. - Kat Agres; Samer Abdallah; Marcus T. Pearce (Cogn. Sci., 2018)

Intracranial Recordings and Computational Modeling of Music Reveal the Time Course of Prediction Error Signaling in Frontal and Temporal Cortices. - Diana Omigie; Marcus T. Pearce; Katia Lehongre; Dominique Hasboun; Vincent Navarro; Claude Adam; Séverine Samson (J. Cogn. Neurosci., 2019)

Musical Features for Automatic Music Transcription Evaluation. - Adrien Ycart; Lele Liu; Emmanouil Benetos; Marcus T. Pearce (CoRR, 2020)

Auditory but Not Audiovisual Cues Lead to Higher Neural Sensitivity to the Statistical Regularities of an Unfamiliar Musical Style. - Ioanna Zioga; Peter M. C. Harrison; Marcus T. Pearce; Joydeep Bhattacharya; Caroline Di Bernardi Luft (J. Cogn. Neurosci., 2020)

Decomposing neural responses to melodic surprise in musicians and non-musicians: Evidence for a hierarchy of predictions in the auditory system. - David Ricardo Quiroga-Martinez; Niels Christian Hansen; Andreas Højlund Nielsen; Marcus T. Pearce; Elvira Brattico; Peter Vuust (NeuroImage, 2020)

From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity. - Ioanna Zioga; Peter M. C. Harrison; Marcus T. Pearce; Joydeep Bhattacharya; Caroline Di Bernardi Luft (NeuroImage, 2020)

Investigating the Perceptual Validity of Evaluation Metrics for Automatic Piano Music Transcription. - Adrien Ycart; Lele Liu; Emmanouil Benetos; Marcus T. Pearce (Trans. Int. Soc. Music. Inf. Retr., 2020)

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

Correction: PPM-Decay: A computational model of auditory prediction with memory decay. - Peter M. C. Harrison; Roberta Bianco; Maria Chait; Marcus T. Pearce (PLoS Comput. Biol., 2021)

Comparing Musicians and Non-musicians' Expectations in Music and Vision. - Kat Agres; Ting Yuan Tay; Marcus T. Pearce (Audio Mostly Conference, 2022)

Modeling enculturated bias in entrainment to rhythmic patterns. - Thomas Kaplan; Jonathan Cannon; Lorenzo Jamone; Marcus T. Pearce (PLoS Comput. Biol., 2022)

Information and motor constraints shape melodic diversity across cultures. - John M. McBride; Nahie Kim; Yuri Nishikawa; Mekhmed Saadakeev; Marcus T. Pearce; Tsvi Tlusty (CoRR, 2024)