Predictable Timing Enhances the Use of Predictable Content

As events unfold, they carry structure in both their timing and content, with these dimensions often interrelated. Most research has treated these dimensions separately, although processing them jointly may provide important computational benefits. It is an open question whether the brain processes a sequence's timing and predictable content structure independently, or integrates these two sources of information to guide prediction. We hypothesised that predictable timing would allow listeners to better exploit structure in the content, with this effect increasing as content structure becomes stronger. To test this, we presented tone sequences with pitch trajectories following a 1/f^β structure, where β determines how strongly the content of each tone persists, while independently varying the temporal periodicity of the sequence. Performance was quantified using response errors relative to outcome predictions of a Gaussian Process Regression model and a model-free measure of how strongly preceding tones influenced responses. Response error decreased and reliance on preceding tones increased with higher β and periodic timing. Moreover, the influence of preceding tones showed an interaction between timing and content, such that the effect of periodicity grew with increasing β. The response error showed no such interaction, although the effect of periodic timing was reliable only for the most structured sequences. Our findings suggest an interdependency between content and timing, where predictable timing helps listeners make greater use of predictable content.

Authors

Institutions

Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-10-27
DOI
https://doi.org/10.64898/2026.10.23.760967
Primary Topic
Neuroscience and Music Perception
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Predictable Timing Enhances the Use of Predictable Content

Alexander Thomas Sack, Sanne ten Oever, Inge Leunissen, Oscar Magnusson et al.
1 links
bioRxiv (Cold Spring Harbor Laboratory)
Neuroscience and Music Perception
preprint

Predictable Timing Enhances the Use of Predictable Content

Alexander Thomas Sack, Sanne ten Oever, Inge Leunissen, Oscar Magnusson, Wouter Berkhof, Hanne Hobbelen
preprint en

Abstract

As events unfold, they carry structure in both their timing and content, with these dimensions often interrelated. Most research has treated these dimensions separately, although processing them jointly may provide important computational benefits. It is an open question whether the brain processes a sequence's timing and predictable content structure independently, or integrates these two sources of information to guide prediction. We hypothesised that predictable timing would allow listeners to better exploit structure in the content, with this effect increasing as content structure becomes stronger. To test this, we presented tone sequences with pitch trajectories following a 1/f^β structure, where β determines how strongly the content of each tone persists, while independently varying the temporal periodicity of the sequence. Performance was quantified using response errors relative to outcome predictions of a Gaussian Process Regression model and a model-free measure of how strongly preceding tones influenced responses. Response error decreased and reliance on preceding tones increased with higher β and periodic timing. Moreover, the influence of preceding tones showed an interaction between timing and content, such that the effect of periodicity grew with increasing β. The response error showed no such interaction, although the effect of periodic timing was reliable only for the most structured sequences. Our findings suggest an interdependency between content and timing, where predictable timing helps listeners make greater use of predictable content.

bioRxiv (Cold Spring Harbor Laboratory)
Maastricht University (NL)
Neuroscience and Music Perception
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Predictable Timing Enhances the Use of Predictable Content — Alexander Thomas Sack, Sanne ten Oever, et al. · bioRxiv (Cold Spring Harbor Laboratory) (2026) | TGRS Research Map | TGRS