Marcus T. Pearce

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 13

Top Topics

Musical Instrument

Prediction Error

Computational Model

Top Venues

Publications

Kat Agres, Ting Yuan Tay, Marcus T. Pearce
Comparing Musicians and Non-musicians' Expectations in Music and Vision. Audio Mostly Conference (2022)
Peter M. C. Harrison, Roberta Bianco, Maria Chait, Marcus T. Pearce
Correction: PPM-Decay: A computational model of auditory prediction with memory decay. PLoS Comput. Biol. 17 (5) (2021)
Adrien Ycart, Lele Liu, Emmanouil Benetos, Marcus T. Pearce
Musical Features for Automatic Music Transcription Evaluation. CoRR (2020)
David Ricardo Quiroga-Martinez, Niels Christian Hansen, Andreas Højlund Nielsen, Marcus T. Pearce, Elvira Brattico, Peter Vuust
Decomposing neural responses to melodic surprise in musicians and non-musicians: Evidence for a hierarchy of predictions in the auditory system. NeuroImage 215 (2020)
Ioanna Zioga, Peter M. C. Harrison, Marcus T. Pearce, Joydeep Bhattacharya, Caroline Di Bernardi Luft
From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity. NeuroImage 206 (2020)
Ioanna Zioga, Peter M. C. Harrison, Marcus T. Pearce, Joydeep Bhattacharya, Caroline Di Bernardi Luft
Auditory but Not Audiovisual Cues Lead to Higher Neural Sensitivity to the Statistical Regularities of an Unfamiliar Musical Style. J. Cogn. Neurosci. 32 (12) (2020)
Adrien Ycart, Lele Liu, Emmanouil Benetos, Marcus T. Pearce
Investigating the Perceptual Validity of Evaluation Metrics for Automatic Piano Music Transcription. Trans. Int. Soc. Music. Inf. Retr. 3 (1) (2020)
Peter M. C. Harrison, Roberta Bianco, Maria Chait, Marcus T. Pearce
PPM-Decay: A computational model of auditory prediction with memory decay. PLoS Comput. Biol. 16 (11) (2020)
Diana Omigie, Marcus T. Pearce, Katia Lehongre, Dominique Hasboun, Vincent Navarro, Claude Adam, Séverine Samson
Intracranial Recordings and Computational Modeling of Music Reveal the Time Course of Prediction Error Signaling in Frontal and Temporal Cortices. J. Cogn. Neurosci. 31 (6) (2019)
Kat Agres, Samer Abdallah, Marcus T. Pearce
Information-Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory. Cogn. Sci. 42 (1) (2018)
Peter M. C. Harrison, Marcus T. Pearce
An Energy-based Generative Sequence Model for Testing Sensory Theories of Western Harmony. ISMIR (2018)
Peter M. C. Harrison, Marcus T. Pearce
An energy-based generative sequence model for testing sensory theories of Western harmony. CoRR (2018)
Emery Schubert, Marcus T. Pearce
A New Look at Musical Expectancy: The Veridical Versus the General in the Mental Organization of Music. CMMR (2015)
Srikanth Cherla, Tillman Weyde, Artur S. d'Avila Garcez, Marcus T. Pearce
A Distributed Model For Multiple-Viewpoint Melodic Prediction. ISMIR (2013)
Marcus T. Pearce, Martin Rohrmeier, Petri Toiviainen, Elvira Brattico, Psyche Loui, Edward W. Large, Ji-Chul Kim
Music cognition: Bridging computation and insights from cognitive neuroscience. CogSci (2013)
Raymond Whorley, Christophe Rhodes, Geraint A. Wiggins, Marcus T. Pearce
Harmonising Melodies: Why Do We Add the Bass Line First? ICCC (2013)
Kat Agres, Samer Abdallah, Marcus T. Pearce
An Information-Theoretic Account of Musical Expectation and Memory. CogSci (2013)
Niels Christian Hansen, Peter Vuust, Marcus T. Pearce
Predictive processing of musical structure: effects of genre-specific expertise. CogSci (2013)
Yading Song, Simon Dixon, Marcus T. Pearce, Andrea R. Halpern
Do Online Social Tags Predict Perceived or Induced Emotional Responses to Music? ISMIR (2013)
Yading Song, Simon Dixon, Marcus T. Pearce
Evaluation of Musical Features for Emotion Classification. ISMIR (2012)
Marcus T. Pearce, Geraint A. Wiggins
Auditory Expectation: The Information Dynamics of Music Perception and Cognition. Top. Cogn. Sci. 4 (4) (2012)
Marcus T. Pearce, Martin Rohrmeier
Music Cognition and the Cognitive Sciences. Top. Cogn. Sci. 4 (4) (2012)
Raymond Whorley, Geraint A. Wiggins, Christophe Rhodes, Marcus T. Pearce
Development of Techniques for the Computational Modelling of Harmony. ICCC (2010)
Marcus T. Pearce, María Herrojo Ruiz, Selina Kapasi, Geraint A. Wiggins, Joydeep Bhattacharya
Unsupervised statistical learning underpins computational, behavioural, and neural manifestations of musical expectation. NeuroImage 50 (1) (2010)
Marcus T. Pearce, Daniel Müllensiefen, Geraint A. Wiggins
A Comparison of Statistical and Rule-Based Models of Melodic Segmentation. ISMIR (2008)
Marcus T. Pearce, Darrell Conklin, Geraint A. Wiggins
Methods for Combining Statistical Models of Music. CMMR (2004)
Marcus T. Pearce, David Meredith
The Second International Symposium on Computer Music Modeling and Retrieval (CMMR 2004) Aalborg University Esbjerg, Esbjerg, Denmark, 26-29 May 2004. Comput. Music. J. 28 (4) (2004)