Evidence map›Paper›PMID 32479264›Full record

ArticleeLife2020

A Bayesian and efficient observer model explains concurrent attractive and repulsive history biases in visual perception.

Matthias Fritsche, Eelke Spaak, Floris P de Lange

Abstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

107 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Identifiability of Bayesian models of perception.Proceedings of the National Academy of Sciences of the United States of America · 2026
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47 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Matthias FritscheDonders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg, Netherlands.ORCID 0000-0001-5835-9057
Eelke SpaakDonders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg, Netherlands.ORCID 0000-0002-2018-3364
Floris P de LangeDonders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg, Netherlands.ORCID 0000-0002-6730-1452

Funding

H2020 European Research Council ERC Starting Grant 678286 'Contextvision'H2020 European Research Council ERC Starting Grant 678286,'Contextvision'Nederlandse Organisatie voor Wetenschappelijk Onderzoek NWO Veni grant 016.Veni.198.065
6 · The paper itself

Abstract

Human perceptual decisions can be repelled away from (repulsive adaptation) or attracted towards recent visual experience (attractive serial dependence). It is currently unclear whether and how these repulsive and attractive biases interact during visual processing and what computational principles underlie these history dependencies. Here we disentangle repulsive and attractive biases by exploring their respective timescales. We find that perceptual decisions are concurrently attracted towards the short-term perceptual history and repelled from stimuli experienced up to minutes into the past. The temporal pattern of short-term attraction and long-term repulsion cannot be captured by an ideal Bayesian observer model alone. Instead, it is well captured by an ideal observer model with efficient encoding and Bayesian decoding of visual information in a slowly changing environment. Concurrent attractive and repulsive history biases in perceptual decisions may thus be the consequence of the need for visual processing to simultaneously satisfy constraints of efficiency and stability.

Indexed as

Models, NeurologicalAdultBayes TheoremDecision MakingDiscrimination, PsychologicalFemaleHumansMaleVisual PerceptionYoung AdultBayesian inferenceefficient codinghistory biaseshumanneurosciencesensory adaptationserial dependencevisual perception

Identifiers

PMID32479264
PMCPMC7286693

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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.