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2020 – today
- 2024
[i3]John M. McBride, Nahie Kim, Yuri Nishikawa, Mekhmed Saadakeev, Marcus T. Pearce, Tsvi Tlusty:
Information and motor constraints shape melodic diversity across cultures. CoRR abs/2408.12635 (2024)- 2022
- [j13]Thomas Kaplan
, Jonathan Cannon, Lorenzo Jamone, Marcus T. Pearce:
Modeling enculturated bias in entrainment to rhythmic patterns. PLoS Comput. Biol. 18(9): 1010579 (2022) - [c13]Kat Agres, Ting Yuan Tay, Marcus T. Pearce:
Comparing Musicians and Non-musicians' Expectations in Music and Vision. Audio Mostly Conference 2022: 74-79 - 2021
- [j12]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) - 2020
- [j11]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): 2241-2259 (2020) - [j10]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) - [j9]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: 116816 (2020) - [j8]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): 1008304 (2020) - [j7]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): 68-81 (2020) - [i2]Adrien Ycart, Lele Liu, Emmanouil Benetos, Marcus T. Pearce:
Musical Features for Automatic Music Transcription Evaluation. CoRR abs/2004.07171 (2020)
2010 – 2019
- 2019
- [j6]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): 855-873 (2019) - 2018
- [j5]Kat Agres, Samer Abdallah, Marcus T. Pearce:
Information-Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory. Cogn. Sci. 42(1): 43-76 (2018) - [c12]Peter M. C. Harrison, Marcus T. Pearce:
An Energy-based Generative Sequence Model for Testing Sensory Theories of Western Harmony. ISMIR 2018: 160-167 - [i1]Peter M. C. Harrison, Marcus T. Pearce:
An energy-based generative sequence model for testing sensory theories of Western harmony. CoRR abs/1807.00790 (2018) - 2015
- [c11]Emery Schubert, Marcus T. Pearce:
A New Look at Musical Expectancy: The Veridical Versus the General in the Mental Organization of Music. CMMR 2015: 358-370 - 2013
- [c10]Kat Agres, Samer Abdallah, Marcus T. Pearce:
An Information-Theoretic Account of Musical Expectation and Memory. CogSci 2013 - [c9]Niels Christian Hansen, Peter Vuust, Marcus T. Pearce:
Predictive processing of musical structure: effects of genre-specific expertise. CogSci 2013 - [c8]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 - [c7]Raymond Whorley, Christophe Rhodes, Geraint A. Wiggins, Marcus T. Pearce:
Harmonising Melodies: Why Do We Add the Bass Line First? ICCC 2013: 79-86 - [c6]Srikanth Cherla, Tillman Weyde, Artur S. d'Avila Garcez, Marcus T. Pearce:
A Distributed Model For Multiple-Viewpoint Melodic Prediction. ISMIR 2013: 15-20 - [c5]Yading Song, Simon Dixon, Marcus T. Pearce, Andrea R. Halpern:
Do Online Social Tags Predict Perceived or Induced Emotional Responses to Music? ISMIR 2013: 89-94 - 2012
- [j4]Marcus T. Pearce, Martin Rohrmeier:
Music Cognition and the Cognitive Sciences. Top. Cogn. Sci. 4(4): 468-484 (2012) - [j3]Marcus T. Pearce, Geraint A. Wiggins:
Auditory Expectation: The Information Dynamics of Music Perception and Cognition. Top. Cogn. Sci. 4(4): 625-652 (2012) - [c4]Yading Song, Simon Dixon, Marcus T. Pearce:
Evaluation of Musical Features for Emotion Classification. ISMIR 2012: 523-528 - 2010
- [j2]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): 302-313 (2010) - [c3]Raymond Whorley, Geraint A. Wiggins, Christophe Rhodes, Marcus T. Pearce:
Development of Techniques for the Computational Modelling of Harmony. ICCC 2010: 11-15 - [p1]Marcus T. Pearce, Daniel Müllensiefen, Geraint A. Wiggins:
Melodic Grouping in Music Information Retrieval: New Methods and Applications. Advances in Music Information Retrieval 2010: 364-388
2000 – 2009
- 2008
- [c2]Marcus T. Pearce, Daniel Müllensiefen, Geraint A. Wiggins:
A Comparison of Statistical and Rule-Based Models of Melodic Segmentation. ISMIR 2008: 89-94 - 2004
- [j1]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): 91-93 (2004) - [c1]Marcus T. Pearce, Darrell Conklin, Geraint A. Wiggins:
Methods for Combining Statistical Models of Music. CMMR 2004: 295-312
Coauthor Index
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