Publications

Selected peer-reviewed journal articles

Moss, F. C., Neuwirth, M., Harasim, D., and Rohrmeier, M. (2019). “Statistical Characteristics of Tonal Harmony: A Corpus Study of Beethoven’s String Quartets.” PLoS ONE 14(6), e0217242 (https://doi.org/10.1371/journal.pone.0217242).

Popescu, T., Neuser, M. P., Neuwirth, M., Bravo, F., Mende, W., Boneh, O., Moss, F. C., and Rohrmeier, M. (accepted). “The Pleasantness of Sensory Dissonance is Mediated by Musical Style and Expertise.” Nature Scientific Reports.

Neuwirth, M., Harasim, D., Moss, F.C., & Rohrmeier, M. (2018). “The Annotated Beethoven Corpus (ABC): A Dataset of Harmonic Analyses of All Beethoven String Quartets.” Frontiers in Digital Humanities 5:16.

Rohrmeier, M. & Widdess, R. (2017). “Incidental Learning of Melodic Structure of North Indian Music.” Cognitive Science, 41 (5), 1299-1327. doi:10.1111/cogs.12404

Bravo, F., Cross, I., Stamatakis, E. A., & Rohrmeier, M. (2017). “Sensory Cortical Response to Uncertainty and Low Salience during Recognition of Affective Cues in Musical Intervals.” PloS ONE, 12(4), e0175991.

Neuwirth, M. and Rohrmeier, M. (2016). “Wie wissenschaftlich muss Musiktheorie sein? Chancen und Herausforderungen musikalischer Korpusforschung.” Zeitschrift der Gesellschaft für Musiktheorie 13 (2), 171–93.

Harasim, D., Schmidt, S., & Rohrmeier, M. (2016). “Bridging Scale Theory and Geometrical Approaches to Harmony: The Voice-Leading Duality Between Complementary Chords.” Journal of Mathematics and Music, 10 (3), 193–209.

Koelsch, S., Busch, T., Jentschke, S., & Rohrmeier, M. (2016). “Under the Hood of Statistical Learning: A statistical MMN reflects the magnitude of transitional probabilities in auditory sequences.” Nature Scientific Reports, 6: 19741. doi:10.1038/srep19741.

Lehne, M., Engel, P., Rohrmeier, M., Menninghaus, W., Jacobs, A. M., & Koelsch, S. (2015). “Reading a Suspenseful Literary Text Activates Brain Areas Related to Social Cognition and Predictive Inference.” PLoS ONE 10(5): e0124550. doi:10.1371/journal.pone.0124550

Merchant H., Grahn J., Trainor L., Rohrmeier M., & Fitch W. T. (2015). “Finding the Beat: A Neural Perspective across Humans and Non-human Primates.” Philosophical Transactions of the Royal Society of London B: Biological Sciences, 370(1664): 20140093.

Wiggins, G. A., Tyack, P., Scharff, C., & Rohrmeier, M. (2015). “The Evolutionary Roots of Creativity: Mechanisms and Motivations.” Philosophical Transactions of the Royal Society of London B: Biological Sciences, 370(1664): 20140099.

Rohrmeier, M., Zuidema, W., Wiggins, G. A., Scharff, C. (2015). “Principles of Structure Building in Music, Language and Animal Song.” Philosophical Transactions of the Royal Society B: Biological Sciences, 370(1664), 20140097.

Neuwirth, M. (2015). “Is There a ‘Musical Task’ in the First Movement of Haydn’s ‘Oxford’ Symphony? Voice-leading Schemata and Intrinsic Formal Functions.” Music Theory and Analysis, 2 (2), 194–203.

Neuwirth, M. (2013). “Surprise Without a Cause? ‘False Recapitulations’ in the Classical Repertoire and the Modern Paradigm of Sonata Form.” Zeitschrift der Gesellschaft für Musiktheorie, 10 (2), 259–91.

Rohrmeier, M. & Cross, I. (2014). “Modelling Unsupervised Online-learning of Artificial Grammars: Linking Implicit and Statistical Learning.” Consciousness and Cognition, 27, 155–167.

Rohrmeier, M. (2013). “Musical Expectancy –  Bridging Music Theory, Cognitive and Computational Approaches.” Zeitschrift der Gesellschaft für Musiktheorie, 10 (2), 343-371.

Koelsch, S., Rohrmeier, M., Torrecuso, R., Jentschke, S. (2013). “Processing of Hierarchical Syntactic Structure in Music.” Proceedings of the National Academy of Sciences, 110 (38), 15443–15448. doi:10.1073/pnas.1300272110

Lehne, M., Rohrmeier, M., Koelsch, S. (2013). “Tension-related activity in the orbitofrontal cortex and amygdala: an fMRI study with music.” Social Cognitive and Affective Neuroscience, nst141, doi: 10.1093/scan/nst141

Rohrmeier, M. and Cross, I. (2013). “Artificial Grammar Learning of Melody Is Constrained by Melodic Inconsistency: Narmour’s Principles Affect Melodic Learning.” PLoS ONE 8(7): e66174.

Lehne, M., Rohrmeier, M. & Koelsch, S. (2013). “The Influence of Different Structural Features on Felt Musical Tension.” Music Perception, 31 (2), 171–185.

Rohrmeier, M. & Rebuschat, P. (2012). “Implicit Learning and Acquisition of Music.” Topics in Cognitive Science (TopiCS), 4 (4), 525–553.

Rohrmeier, M., Fu, Q. & Dienes, Z. (2012). “Implicit Learning of Recursive Context-free Grammars.” PLoS ONE, 7 (10): e45885. doi:10.1371/journal.pone.0045885.

Pearce, M. & Rohrmeier, M. (2012). “Music Cognition and the Cognitive Sciences.” Topics in Cognitive Science (TopiCS), 4 (4), 468–484.

Rohrmeier, M. & Koelsch, S. (2012). “Predictive Information Processing in Music Cognition: A Critical Review.” International Journal of Psychophysiology, 83 (2), 164–175.

Rohrmeier, M. (2011). “Towards a Generative Syntax of Tonal Harmony.” Journal of Mathematics and Music, 5 (1), 35–53.

Rohrmeier, M., Rebuschat, P. & Cross, I. (2011). “Incidental and Online Learning of Melodic Structure.” Consciousness and Cognition, 20 (2), 214–222.

Cross, I. & Rohrmeier, M. (2007). “Comments on ‘Facilitation and Coherence Between the Dynamic and Retrospective Perception of Segmentation in Computer-Generated Music,’ by Freya Bailes and Roger T. Dean.” Empirical Musicology Review, 2 (4), 146–149.