Marcus T. Pearce

30 papers B 3C 2Journal 16Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Information and motor constraints shape melodic diversity across cultures. CoRR John M. McBride, Nahie Kim, Yuri Nishikawa, Mekhmed Saadakeev, Marcus T. Pearce, Tsvi Tlusty
2022	—	`conf`	Comparing Musicians and Non-musicians' Expectations in Music and Vision. Audio Mostly Conference Kat Agres, Ting Yuan Tay, Marcus T. Pearce
2022	J	`jnl`	Modeling enculturated bias in entrainment to rhythmic patterns. PLoS Comput. Biol. Thomas Kaplan, Jonathan Cannon, Lorenzo Jamone, Marcus T. Pearce
2021	J	`jnl`	Correction: PPM-Decay: A computational model of auditory prediction with memory decay. PLoS Comput. Biol. Peter M. C. Harrison, Roberta Bianco, Maria Chait, Marcus T. Pearce
2020	J	`jnl`	Auditory but Not Audiovisual Cues Lead to Higher Neural Sensitivity to the Statistical Regularities of an Unfamiliar Musical Style. J. Cogn. Neurosci. Ioanna Zioga, Peter M. C. Harrison, Marcus T. Pearce, Joydeep Bhattacharya, Caroline Di Bernardi Luft
2020	J	`jnl`	Decomposing neural responses to melodic surprise in musicians and non-musicians: Evidence for a hierarchy of predictions in the auditory system. NeuroImage David Ricardo Quiroga-Martinez, Niels Christian Hansen, Andreas Højlund Nielsen, Marcus T. Pearce, Elvira Brattico, Peter Vuust
2020	J	`jnl`	From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity. NeuroImage Ioanna Zioga, Peter M. C. Harrison, Marcus T. Pearce, Joydeep Bhattacharya, Caroline Di Bernardi Luft
2020	J	`jnl`	Investigating the Perceptual Validity of Evaluation Metrics for Automatic Piano Music Transcription. Trans. Int. Soc. Music. Inf. Retr. Adrien Ycart, Lele Liu, Emmanouil Benetos, Marcus T. Pearce
2020	J	`jnl`	Musical Features for Automatic Music Transcription Evaluation. CoRR Adrien Ycart, Lele Liu, Emmanouil Benetos, Marcus T. Pearce
2020	J	`jnl`	PPM-Decay: A computational model of auditory prediction with memory decay. PLoS Comput. Biol. Peter M. C. Harrison, Roberta Bianco, Maria Chait, Marcus T. Pearce
2019	J	`jnl`	Intracranial Recordings and Computational Modeling of Music Reveal the Time Course of Prediction Error Signaling in Frontal and Temporal Cortices. J. Cogn. Neurosci. Diana Omigie, Marcus T. Pearce, Katia Lehongre, Dominique Hasboun, Vincent Navarro, Claude Adam, Séverine Samson
2018	—	`conf`	An Energy-based Generative Sequence Model for Testing Sensory Theories of Western Harmony. ISMIR Peter M. C. Harrison, Marcus T. Pearce
2018	J	`jnl`	An energy-based generative sequence model for testing sensory theories of Western harmony. CoRR Peter M. C. Harrison, Marcus T. Pearce
2018	J	`jnl`	Information-Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory. Cogn. Sci. Kat Agres, Samer Abdallah, Marcus T. Pearce
2015	—	`conf`	A New Look at Musical Expectancy: The Veridical Versus the General in the Mental Organization of Music. CMMR Emery Schubert, Marcus T. Pearce
2013	—	`conf`	A Distributed Model For Multiple-Viewpoint Melodic Prediction. ISMIR Srikanth Cherla, Tillman Weyde, Artur S. d'Avila Garcez, Marcus T. Pearce
2013	B	`conf`	An Information-Theoretic Account of Musical Expectation and Memory. CogSci Kat Agres, Samer Abdallah, Marcus T. Pearce
2013	—	`conf`	Do Online Social Tags Predict Perceived or Induced Emotional Responses to Music? ISMIR Yading Song, Simon Dixon, Marcus T. Pearce, Andrea R. Halpern
2013	C	`conf`	Harmonising Melodies: Why Do We Add the Bass Line First? ICCC Raymond Whorley, Christophe Rhodes, Geraint A. Wiggins, Marcus T. Pearce
2013	B	`conf`	Music cognition: Bridging computation and insights from cognitive neuroscience. CogSci Marcus T. Pearce, Martin Rohrmeier, Petri Toiviainen, Elvira Brattico, Psyche Loui, Edward W. Large, Ji-Chul Kim
2013	B	`conf`	Predictive processing of musical structure: effects of genre-specific expertise. CogSci Niels Christian Hansen, Peter Vuust, Marcus T. Pearce
2012	J	`jnl`	Auditory Expectation: The Information Dynamics of Music Perception and Cognition. Top. Cogn. Sci. Marcus T. Pearce, Geraint A. Wiggins
2012	—	`conf`	Evaluation of Musical Features for Emotion Classification. ISMIR Yading Song, Simon Dixon, Marcus T. Pearce
2012	J	`jnl`	Music Cognition and the Cognitive Sciences. Top. Cogn. Sci. Marcus T. Pearce, Martin Rohrmeier
2010	C	`conf`	Development of Techniques for the Computational Modelling of Harmony. ICCC Raymond Whorley, Geraint A. Wiggins, Christophe Rhodes, Marcus T. Pearce
2010	—	`ch.`	Melodic Grouping in Music Information Retrieval: New Methods and Applications. Advances in Music Information Retrieval Marcus T. Pearce, Daniel Müllensiefen, Geraint A. Wiggins
2010	J	`jnl`	Unsupervised statistical learning underpins computational, behavioural, and neural manifestations of musical expectation. NeuroImage Marcus T. Pearce, María Herrojo Ruiz, Selina Kapasi, Geraint A. Wiggins, Joydeep Bhattacharya
2008	—	`conf`	A Comparison of Statistical and Rule-Based Models of Melodic Segmentation. ISMIR Marcus T. Pearce, Daniel Müllensiefen, Geraint A. Wiggins
2004	—	`conf`	Methods for Combining Statistical Models of Music. CMMR Marcus T. Pearce, Darrell Conklin, Geraint A. Wiggins
2004	J	`jnl`	The Second International Symposium on Computer Music Modeling and Retrieval (CMMR 2004) Aalborg University Esbjerg, Esbjerg, Denmark, 26-29 May 2004. Comput. Music. J. Marcus T. Pearce, David Meredith