Computational modeling of rhythmic expectations: Perspectives, pitfalls, and prospects
Atser Damsma, Jonathan Cannon, Lauren K. Fink, Keith B. Doelling, Jessica A. Grahn, Henkjan Honing, Thomas Kaplan, Edward W. Large, Fleur L. Bouwer · 2025
Read Computational modeling of rhythmic expectations: Perspectives, pitfalls, and prospects by Atser Damsma, Jonathan Cannon, Lauren K. Fink, Keith B. Doelling, Jessica A. Grahn, Henkjan Honing, Thomas Kaplan, Edward W. Large, Fleur L. Bouwer (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12694793.txt.
Description
Atser Damsma and colleagues reviewed computer models of rhythm expectation in two thousand twenty-five. Rhythm lets people predict beats in speech and music with fine timing. Three model families try to explain that skill: systems that lock onto pulses, systems that bet on probabilities, and internal clock systems.
Each family captures different behaviors and explains learning and cultural tuning to different degrees. Comparing them is hard because their inputs, outputs, and goals differ. The authors recommend standardizing signals when comparing models and combining strengths across families. Music and speech scientists gain a shared agenda for deciding which model truly explains human timing.
Catalog record
| CREATOR | Atser Damsma, Jonathan Cannon, Lauren K. Fink, Keith B. Doelling, Jessica A. Grahn, Henkjan Honing, Thomas Kaplan, Edward W. Large, Fleur L. Bouwer |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 56 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |