Myself

Martin Rohrmeier

MIT Intelligence Initiative
Postdoctoral Fellow
Massachusetts Institute of Technology
mr1 [at] mit.edu

In my research, I am interested in the cognition of music, implicit learning, acquisition and mental representation of grammars and rules, computational modelling and cognitive links between music and language. I explore the ways in which people acquire and apply knowledge of music as well as language. In this context I am applying and combining methods from experimental psychology, cognitive modelling and machine learning, cognitive neuroscience and theoretical tools drawn from music theory, linguistics and formal languages.

I received my MPhil and PhD with experimental and computational work in the area of music cognition from the University of Cambridge, UK, under the supervision of Prof. Ian Cross.

Besides my academic involvements, I like to perform notated, not-yet-notated, unnotatable music on the piano at various concerts around Berlin, Cambridge, and other sunny places, such as the FIMU festival at Belfort. I love silent movies and accompanying them on the piano. Since 2011 I am the president of the Berlin-based society for silent movies "Laufende Bilder e.V.". I am also a passionate Argentinian Tango dancer and chess player.

Appointments

  • Nov 2010 – Dec 2012 Postdoctoral Researcher working with Prof. Stefan Kölsch, Excellence Cluster Languages of Emotion, Freie Universität Berlin
  • April – Dec 2011 Postdoctoral Researcher (shared appointment working with Prof. Koelsch / Prof. Uli Reich, Linguistics), Freie Universität Berlin
  • March – July 2010 Research Internship, Microsoft Research Cambridge, UK, under Dr. Thore Graepel.

Research topics

  • Music cognition and empirical music research
  • Implicit learning and implicit knowledge
  • Acquisition and representation of grammars
  • Cognitive perspectives on music and language
  • Computational modelling and corpus analysis
  • Music theory and analysis
  • Philosophy of language and music

Current teaching

  • Class: Computational Linguistics for Linguists. Fall 2013, MIT
  • Class: Music Cognition. Spring 2014, MIT

Organisational activities

  • Since 2009 Associate Editor of Topics in Cognitive Science (TopiCS)
  • Organisation of a symposium "Music cognition: Bridging computation and insights from cognitive neuroscience" together with Marcus Pearce at the annual conference of the Cognitive Science Society (CogSci 2013, Berlin)
  • Organisation of a symposium "Implicit Learning Out of the Lab: Language and Music" together with Patrick Rebuschat at CogSci 2013
  • Organisation of a symposium on music cognition together with Patrick Rebuschat at the annual conference of the Cognitive Science Society (CogSci 2009, Amsterdam). [Abstract]
  • Organisation of the international interdisciplinary conference “Music & Language as Cognitive Systems” with 280 participants, May 11-13, 2007 in Cambridge, together with Patrick Rebuschat (RCEAL, Cambridge), Ian Cross, John Hawkins (RCEAL, Cambridge). [Booklet]
  • Since 2011 co-organisation of the society for silent movies "Laufende Bilder e.V., Berlin" together with the author Ludwig Lugmeier, president of the society since 2012

>> New <<

Co-organization of two symposia at the CogSci conference 2013:
  • "Music cognition: Bridging computation and insights from cognitive neuroscience" together with Marcus Pearce
  • Abstracts
  • "Implicit Learning Out of the Lab: Language and Music" together with Patrick Rebuschat
  • Abstracts
New articles:
  • Koelsch, S., Rohrmeier, M., Torrecuso, R., Jentschke, S. (2013). Processing of hierarchical syntactic structure in music. Proceedings of the National Academy of Sciences. published ahead of print September 3, 2013, doi:10.1073/pnas.1300272110 [link]
  • Lehne, M., Rohrmeier, M., Koelsch, S. (2013). Functional neuroimaging of tension: A study with music. Social Cognitive and Affective Neuroscience. First published online: August 22, 2013, doi: 10.1093/scan/nst141 [link]
  • Rohrmeier, M., Cross, I. (2013) Artificial Grammar Learning of Melody Is Constrained by Melodic Inconsistency: Narmour's Principles Affect Melodic Learning. PLoS ONE 8(7): e66174. [article]
  • Lehne, M., Rohrmeier, M. & Koelsch, S. (in press). The influence of different structural features on felt musical tension. Music Perception.[preprint]
  • Rohrmeier, M., Dienes, Z., Guo, X., & Fu, Q. (in press). Implicit learning and recursion. To appear in Language and Recursion, ed. Francis Lowenthal and Laurent Lefebvre, Springer Verlag.

Publications

Edited books and volumes

  • Rohrmeier, M. & Rebuschat, P. (2012) Eds. Music cognition: learning and processing. Topics in Cognitive Science (TopiCS) , 4 (4).
  • Rebuschat, P., Rohrmeier, M., Cross, I., & Hawkins, J. (2011) Eds. Language and Music as Cognitive Systems. Oxford University Press.
  • Music and Language Book

Some forthcoming articles

  • Rohrmeier, M. (invited). Chapter on Musical Syntax. Springer Handbook for Systematic Musicology.
  • Rohrmeier, M. Musical expectancy and computational modelling. To appear in Zeitschrift der Gesellschaft für Musiktheorie.
  • Rohrmeier, M. & Cross, I. (revision submitted). Modeling  unsupervised  online-learning  of  artificial  grammars: linking  implicit  and  statistical  learning.Consciousness and Cognition
  • Rohrmeier, M. & Widdess, R. (submitted). Incidental learning of modal features of North Indian Music.Cognitive Science.
  • Reich, U. & Rohrmeier, M. Batidas Latinas – Rhythm and Meter in Romance Languages and music.
  • Rohrmeier, M. & Neuwirth, M., Tymoczko, D. (forthcoming). Statistical signatures of cadences in Mozart's sonatas. To appear in What is a Cadence? Theoretical and Analytical Perspectives on Cadences in the Classical Repertoire, ed. Markus Neuwirth and Pieter Bergé, Leuven: Leuven University Press.

Peer-reviewed journal articles

  • Lehne, M., Rohrmeier, M. & Koelsch, S. (in press). The influence of different structural features on felt musical tension. Music Perception.[preprint]
  • Koelsch, S., Rohrmeier, M., Torrecuso, R., Jentschke, S. (2013). Processing of hierarchical syntactic structure in music. Proceedings of the National Academy of Sciences. published ahead of print September 3, 2013, doi:10.1073/pnas.1300272110 [link]
  • Lehne, M., Rohrmeier, M., Koelsch, S. (2013). Functional neuroimaging of tension: A study with music. Social Cognitive and Affective Neuroscience. First published online: August 22, 2013, doi: 10.1093/scan/nst141 [link]
  • Rohrmeier, M., Cross, I. (2013) Artificial Grammar Learning of Melody Is Constrained by Melodic Inconsistency: Narmour's Principles Affect Melodic Learning. PLoS ONE 8(7): e66174.[article]
  • Rohrmeier, M. & Rebuschat, P. (2012). Implicit learning and acquisition of music. Topics in Cognitive Science (TopiCS), 4 (4), 525-553. [link]
  • 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. [link]
  • Pearce, M. & Rohrmeier, M. (2012). Music Cognition and the Cognitive Sciences. Topics in Cognitive Science (TopiCS), 4 (4), 468-484. [link]
  • Rohrmeier, M. & Koelsch, S. (2012). Predictive information processing in music cognition. A critical review. International Journal of Psychophysiology, 83 (2), 164-175. [article]
  • Rohrmeier, M. (2011). Towards a generative syntax of tonal harmony. Journal of Mathematics and Music, 5 (1), 35-53. [link]
  • Rohrmeier, M., Rebuschat, P. & Cross, I. (2011). Incidental and online learning of melodic structure. Consciousness and Cognition, 20 (2), 214-222. [link]
  • 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. [article]

Peer-reviewed computer science publications

  • Rohrmeier, M. & Graepel, T. (2012). Comparing feature-based models of harmony. In Barthet et al. (eds.) Proceedings of the 9th International Symposium on Computer Music Modeling and Retrieval (CMMR 2012). pp. 357-370.
  • Hedges, T. & Rohrmeier, M. (2011). Exploring Rameau and Beyond: A Corpus Study of Root Progression Theories. In: Agon, C.; Amiot, E.; Andreatta, M.; Assayag, G.; Bresson, J. and Mandereau, J. eds., Mathematics and Computation in Music. Lecture Notes in Artificial Intelligence (6726). Berlin Heidelberg: Springer, pp. 334-337.
  • De Haas, B., Rohrmeier, M., Veltkamp, R. & Wiering, F. (2009). Modeling Harmonic Similarity Using a Generative Grammar of Tonal Harmony. In Goto et al. (eds.), Proceedings of the 10th International Society for Music Information Retrieval Conference (ISMIR 2009), pp. 549-554.
  • Salamon, J. & Rohrmeier, M. (2009). A Quantitative Evaluation of a Two Stage Retrieval Approach for a Musical Query by Example System. In Goto et al. (eds.), Proceedings of the 10th International Society for Music Information Retrieval Conference (ISMIR 2009). pp. 255-260.
  • Rohrmeier, M. (2009). Learning on the fly. Computational analyses of an unsupervised online learning effect. In Howes et al. (eds.), Proceedings of the 9th International Conference on Cognitive Modeling (ICCM 2009)
  • Rohrmeier, M. (2007) A generative grammar approach to diatonic harmonic structure. In Spyridis, Georgaki, Kouroupetroglou, Anagnostopoulou (eds.), Proceedings of the 4th Sound and Music Computing Conference, pp. 97-100.
  • Rohrmeier, M. (2007) Modelling dynamics of key induction in harmony progressions. In Spyridis, Georgaki, Kouroupetroglou, Anagnostopoulou (eds.), Proceedings of the 4th Sound and Music Computing Conference, pp. 82-89.

Book chapters

  • Rohrmeier, M., Dienes, Z., Guo, X., & Fu, Q. (in press). Implicit learning and recursion. To appear in Language and Recursion, ed. Francis Lowenthal and Laurent Lefebvre, Springer Verlag.
  • Rebuschat, P., Rohrmeier, M., Hawkins, J. H., & Cross, I. (2011). Introduction: Language and music as cognitive systems. In P. Rebuschat, M. Rohrmeier, J. H. Hawkins, & I. Cross (Eds.) Language and music as cognitive systems. Oxford: Oxford University Press, pp. xiii-xvii
  • Rohrmeier, M. (2011). Section introduction - Learning and Processing. In Rebuschat, P., Rohrmeier, M., Cross, I. & Hawkins, J. (eds.), Language and Music as Cognitive Systems. Oxford University Press. pp. 137-138.
  • Rohrmeier, M. (in press), Implizites Lernen in musikalischen Kontexten. Konzepte und gegenwärtige Forschungstendenzen. (Implicit learning in musical contexts. Concepts and current research) In K. Heiwolt & E. Lange (eds.), Musiktheorie und Vermittlung. Schriftenreihe des Instituts für Musikpädagogik und Musiktheorie, Hochschule für Musik Franz Liszt, Weimar, Vol. 4
  • Rohrmeier, M. (2004). Über Musik in einer sich beschleunigenden Welt. In Hartmut Rosa (Ed.), fast forward – Essays zu Zeit und Beschleunigung. Standpunkte junger Forschung. Hamburg, pp. 168-179.
  • Rohrmeier, M. & Bass, T. (1999). Combinatorial circuit complexity with cryptographic applications. International summer science institute. Scientific reports. Weizmann institute of science. Rehovot, Israel, pp. 168-173.

Articles in conference proceedings

  • Rohrmeier, M. & Widdess, R. (2012). Incidental Learning of Modal Features of North Indian Music. In Cambouropoulos, E., Tsougras, C., Mavromatis, P., Pastiadis, K. (Eds.), Proceedings of the 12th International Conference on Music Perception and Cognition (ICMPC 2012) and 8th Conference of the European Society for the Cognitive Sciences of Music (ESCOM 2012), pp. 857-866.
  • Rohrmeier, M. & Cross, I. (2010). Narmour’s principles affect implicit learning of melody. In Demorest et al. (eds.), Proceedings of the 11th International Conference on Music Perception and Cognition (ICMPC 2010).
  • Rohrmeier, M. & Cross, I. (2009). Tacit tonality: Implicit learning of context-free harmonic structure. In J. Louhivuori et al. (eds.), Proceedings of the 7th Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM 2009). pp. 443-452.
  • Rohrmeier, M. & Cross, I. (2008). Statistical properties of harmony in Bach’s chorales. In Miyazaki, Hiraga, Adachi, Nakajima, Tsuzaki (eds.), Proceedings of the 10th International Conference on Music Perception and Cognition (ICMPC 2008), pp. 619-627.
  • Rohrmeier, M. & Woolhouse, M. (2008). Is there a relationship between pitch attraction and generative grammar in Western tonal music? In Miyazaki, Hiraga, Adachi, Nakajima, Tsuzaki (Eds.), Proceedings of the 10th International Conference on Music Perception and Cognition (ICMPC 2008), pp. 628-637.

Dissertations

  • Rohrmeier, M. (2010). Implicit learning of musical structure: Experimental and computational approaches. PhD Dissertation. University of Cambridge, 2010.
  • Rohrmeier, M. (2005). Towards modelling movement in music: Analysing properties and dynamic aspects of pc set sequences in Bach’s chorales. MPhil dissertation. University of Cambridge, 2005. ISSN 1749-9194. Published as Darwin College Research Report 04.