Evidence map›Paper›PMID 40267131›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

The tilt illusion arises from an efficient reallocation of neural coding resources at the contextual boundary.

Ling-Qi Zhang, Jiang Mao, Geoffrey K Aguirre, Alan A Stocker

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Ling-Qi ZhangJanelia Research Campus, HHMI, Ashburn, VA 20147.ORCID 0000-0001-8468-7927
Jiang MaoDepartment of Psychology, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-6467-3250
Geoffrey K AguirreDepartment of Neurology, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-4028-3100
Alan A StockerDepartment of Psychology, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-2041-1515

Funding

Scientific TransparencyP30EY001583 · NEI · UNIVERSITY OF PENNSYLVANIA · PI CLAIRE H MITCHELL · 1985 to 2026
$19.5M
Flicker photophobia as an experience of inefficient codingR01EY036255 · NEI · UNIVERSITY OF PENNSYLVANIA · PI Geoffrey Karl Aguirre · 2024 to 2026
$1.7M
HHS | NIH | National Eye Institute (NEI) P30EY001583HHS | NIH | National Eye Institute (NEI) R01EY036255Howard Hughes Medical Institute (HHMI) N/AMindCore, University of Pennsylvania N/ANational Science Foundation (NSF) IIS-1912232NEI NIH HHS P30 EY001583NEI NIH HHS R01 EY036255
6 · The paper itself

Abstract

The tilt illusion-a bias in the perceived orientation of a center stimulus induced by an oriented surround-illustrates how context shapes visual perception. Although extensively studied for decades, we still lack a comprehensive account of the illusion that connects its behavioral and neural characteristics. Here, we demonstrate that the tilt illusion originates from dynamic changes in neural coding precision induced by the surround context. We simultaneously obtained psychophysical and functional MRI responses from human subjects while they viewed gratings in the absence and presence of an oriented surround and independently extracted sensory encoding precision from their behavioral and neural data. Both measures show that in the absence of an oriented surround, encoding reflects the natural scene statistics of orientation. However, with an oriented surround, encoding precision is significantly increased for stimuli similar to the surround orientation. This local change in encoding is sufficient to predict the behavioral characteristics of the tilt illusion using a Bayesian observer model. The effect of surround modulation increases along the ventral stream and is localized to the portion of the visual cortex with receptive fields at the center-surround boundary. The pattern of change in coding accuracy reflects the surround-conditioned orientation statistics in natural scenes, but cannot be explained by local stimulus configuration. Our results suggest that the tilt illusion naturally emerges from an adaptive coding strategy that efficiently reallocates neural coding resources based on the current stimulus context.

Indexed as

IllusionsVisual CortexVisual PerceptionAdultBayes TheoremFemaleHumansMagnetic Resonance ImagingMalePhotic StimulationYoung Adultcontextual modulationefficient codingFisher informationfMRIorientation estimation

Identifiers

PMID40267131
PMCPMC12054787

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.