ArticleiScience2023
Probabilistic integration of preceding responses explains response bias in perceptual decision making.
Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Investigating the effect of response autocorrelation on n-back analyses of serial dependence.Journal of vision · 2026Article
- Cross-Modal Transfer as a Window Into the Investigation of Recent Stimulus and Response History in Perceptual Decision-Making.The European journal of neuroscience · 2026Article
- Neural mechanisms of flexible perceptual inference.PLoS computational biology · 2025Article
- A Bayesian hierarchical model of trial-to-trial fluctuations in decision criterion.PLoS computational biology · 2025Article
- Exploring the role of serial dependence in visual time perception.Journal of vision · 2025Article
- Opposing serial effects of stimulus and choice in speech perception scale with context variability.iScience · 2024Article
- Active reinforcement learning versus action bias and hysteresis: control with a mixture of experts and nonexperts.PLoS computational biology · 2024Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Expectations of sensory information change not only how well but also what we perceive. Even in an unpredictable environment, the brain is by default constantly engaged in computing probabilities between sensory events. These estimates are used to generate predictions about future sensory events. Here, we investigated the predictability of behavioral responses using three different learning models in three different one-interval two-alternative forced choice experiments with either auditory, vestibular, or visual stimuli. Results indicate that recent decisions, instead of the sequence of generative stimuli, cause serial dependence. By bridging the gap between sequence learning and perceptual decision making, we provide a novel perspective on sequential choice effects. We propose that serial biases reflect the tracking of statistical regularities of the decision variable, offering a broader understanding of this phenomenon.
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Registered trials
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.