Sensory reliability takes priority over the central tendency effect in temporal and spatial estimation

Perception is influenced by contextual factors that help resolve sensory uncertainty. A well-known phenomenon, the central tendency effect, describes how perceptual estimates gravitate toward the mean of a distribution of stimuli, particularly when sensory input is unreliable. However, in multisensory contexts, it remains unclear whether this effect follows a generalized priority across modalities or might be influenced by task-relevant sensory dominance. We studied spatial and temporal estimation in the auditory and visual modalities, testing whether perceptual estimates are driven by a supra-modal prior or by modality reliability specific to the task, and applied Bayesian modeling to explain the results. Participants first performed baseline sessions using only one modality and then a third session in which the modalities were interleaved. In the interleaved session, we found that the changes in auditory and visual estimates were not towards a supra-modal (generalized) prior, but estimates related to the dominant modality (vision for space, audition for time) were stable, while estimates of the other sensory modality (audition for space, vision for time) were pulled towards the dominant modality's prior. Bayesian modeling also confirmed that the best-fitting models were those in which priors were modality-specific rather than supra-modal. These results highlight that perceptual estimation favors sensory reliability over a general tendency to regress toward the mean, providing insights into how the brain integrates contextual information across modalities.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-11-06
DOI
https://doi.org/10.1038/s41598-025-22651-6
Citations
1
Primary Topic
Multisensory perception and integration
Type
article
Field-Weighted Citation Impact
2.12

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sensory reliability takes priority over the central tendency effect in temporal and spatial estimation

David Alais, Alessia Tonelli, Cameron Kyle Phan
1 citations
Scientific Reports
Multisensory perception and integration
2.12
article

Sensory reliability takes priority over the central tendency effect in temporal and spatial estimation

David Alais, Alessia Tonelli, Cameron Kyle Phan
article en
1 citations

Abstract

Perception is influenced by contextual factors that help resolve sensory uncertainty. A well-known phenomenon, the central tendency effect, describes how perceptual estimates gravitate toward the mean of a distribution of stimuli, particularly when sensory input is unreliable. However, in multisensory contexts, it remains unclear whether this effect follows a generalized priority across modalities or might be influenced by task-relevant sensory dominance. We studied spatial and temporal estimation in the auditory and visual modalities, testing whether perceptual estimates are driven by a supra-modal prior or by modality reliability specific to the task, and applied Bayesian modeling to explain the results. Participants first performed baseline sessions using only one modality and then a third session in which the modalities were interleaved. In the interleaved session, we found that the changes in auditory and visual estimates were not towards a supra-modal (generalized) prior, but estimates related to the dominant modality (vision for space, audition for time) were stable, while estimates of the other sensory modality (audition for space, vision for time) were pulled towards the dominant modality's prior. Bayesian modeling also confirmed that the best-fitting models were those in which priors were modality-specific rather than supra-modal. These results highlight that perceptual estimation favors sensory reliability over a general tendency to regress toward the mean, providing insights into how the brain integrates contextual information across modalities.

Scientific ReportsVol. 15(1)
The University of Sydney (AU), Italian Institute of Technology (IT)
European Commission, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 10%
Multisensory perception and integration
2.12
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.