Measuring self-similarity in empirical signals to understand musical beat perception.

Lenc T, Lenoir C, Keller PE, Polak R, Mulders D, Nozaradan S

DOI: 10.1111/ejn.16637
Published: 2025 Jan
Container: The European journal of neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1111/ejn.16637,
  title = {Measuring self-similarity in empirical signals to understand musical beat perception.},
  author = {Lenc T and Lenoir C and Keller PE and Polak R and Mulders D and Nozaradan S},
  year = {2025},
  journal = {The European journal of neuroscience},
  doi = {10.1111/ejn.16637},
  url = {https://doi.org/10.1111/ejn.16637}
}

RIS

TY  - JOUR
TI  - Measuring self-similarity in empirical signals to understand musical beat perception.
AU  - Lenc T
AU  - Lenoir C
AU  - Keller PE
AU  - Polak R
AU  - Mulders D
AU  - Nozaradan S
PY  - 2025
JO  - The European journal of neuroscience
DO  - 10.1111/ejn.16637
UR  - https://doi.org/10.1111/ejn.16637
ER  -

APA

T, L., C, L., PE, K., R, P., D, M., & S, N. (2025). Measuring self-similarity in empirical signals to understand musical beat perception.. The European journal of neuroscience. https://doi.org/10.1111/ejn.16637

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pubmed · retrieved 2026-09-27T11:40:47.563Z