Evidence map›Paper›PMID 40032814›Full record

ArticleAttention, perception & psychophysics2025

Effects of perceptual and decisional uncertainty on serial dependence in orientation perception.

Zoë Little, Colin W G Clifford

Abstract read
In one paragraph

Article in Attention, perception & psychophysics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Zoë LittleSchool of Psychology, University of New South Wales, Sydney, NSW, Australia. z.little@unsw.edu.au.
Colin W G CliffordSchool of Psychology, University of New South Wales, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Where assimilative serial dependence occurs in perception, responses to visual attributes such as orientation are typically biased towards the attributes of visual stimuli seen in the recent past. Serial dependence is thought to increase the signal-to-noise ratio of visual representations and is reliably increased by uncertainty in the target stimulus. However, the amount of uncertainty in the preceding inducer stimulus does not seem to modulate serial dependence. Here, we consider whether uncertainty in the decision made about the inducer stimulus modulates serial dependence instead by using stimuli with high positive evidence (high-contrast signal plus high-contrast noise) and low positive evidence (low-contrast signal and low-contrast noise). Such stimuli are matched in their signal-to-noise ratio but differ in overall contrast, and have been found to modulate response confidence but not response accuracy. Thirty-three participants viewed oriented Gabor patches presented under different levels of signal-to-noise ratio and positive evidence and reported their orientation, as well as their response confidence. We found that serial dependence was greatest for target stimuli that had low signal-to-noise ratio, low positive evidence, or were responded to with low subjective confidence. We find no modulation of serial dependence by uncertainty of any kind in the inducer trial. This finding suggests that serial dependence may not reflect a bias towards previous decisions, and has implications for wider theoretical accounts of serial dependence. The data and materials for this experiment are available via the Open Science Framework at https://osf.io/kvy4c/.

Indexed as

Decision MakingOrientationOrientation, SpatialPattern Recognition, VisualAdultContrast SensitivityFemaleHumansMaleSignal-To-Noise RatioUncertaintyYoung AdultOrientation perceptionSensory uncertaintySerial dependence

Identifiers

PMID40032814
PMCPMC11965219

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Registered trials

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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.