M
Martin Rohrmeier
Researcher at École Polytechnique Fédérale de Lausanne
Publications - 78
Citations - 2125
Martin Rohrmeier is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Music psychology & Implicit learning. The author has an hindex of 19, co-authored 70 publications receiving 1761 citations. Previous affiliations of Martin Rohrmeier include University of Cambridge & Dresden University of Technology.
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Finding the beat: a neural perspective across humans and non-human primates
TL;DR: It is suggested that a cross-species comparison of behaviours and the neural circuits supporting them sets the stage for a new generation of neurally grounded computational models for beat perception and synchronization.
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Towards a generative syntax of tonal harmony
TL;DR: In this article, a hierarchical, generative account of diatonic harmonic progressions and a set of phrase-structure grammar rules are proposed to describe the structure of the progressions.
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Predictive information processing in music cognition. A critical review.
Martin Rohrmeier,Stefan Koelsch +1 more
TL;DR: The scope and limits of theoretical accounts of musical prediction with respect to feature-based and temporal prediction are reviewed, and neural results regarding the early right-anterior negativity (ERAN) and mismatch negativity (MMN) reflect expectancy violations on different levels of processing complexity.
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Processing of hierarchical syntactic structure in music
Stefan Koelsch,Martin Rohrmeier,Martin Rohrmeier,Renzo Torrecuso,Renzo Torrecuso,Sebastian Jentschke +5 more
TL;DR: The results reveal that a brain mechanism fundamental for syntactic processing is engaged during the perception of music, indicating that processing of hierarchical structure with nested nonlocal dependencies is not just a key component of human language, but a multidomain capacity of human cognition.
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Implicit learning and acquisition of music
TL;DR: More research is required to support the cross-cultural validity of implicit learning and to show that core and more complex music theoretical features are acquired implicitly.