ArticleNature communications2022
Persistent activity in human parietal cortex mediates perceptual choice repetition bias.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 53 citations in OpenAlex.
- Article
- Decoupling Choice from Motor Response Reduces Choice-History Effects.bioRxiv : the preprint server for biology · 2026Article
- Readout and delayed transmission of initial afferent V1 activity in decisions about stimulus contrast.eLife · 2026Article
- Phasic and tonic arousal distinctly shape human decision bias.Communications biology · 2026Article
- Cortex-wide Dynamics of Internal Decisions About Behavioral Context.bioRxiv : the preprint server for biology · 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
- Conjunctive population coding integrates sensory evidence to guide adaptive behavior.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Catecholamines reduce choice history biases in perceptual decision making.PLoS biology · 2025Article
- A Bayesian hierarchical model of trial-to-trial fluctuations in decision criterion.PLoS computational biology · 2025Article
- Confirmation bias through selective readout of information encoded in human parietal cortex.Nature communications · 2025Article
- Pre-stimulus beta power mediates explicit and implicit perceptual biases in distinct cortical areas.Communications psychology · 2025Article
- Confirmation Bias through Selective Readout of Information Encoded in Human Parietal Cortex.bioRxiv : the preprint server for biology · 2025Article
- Reactivation of previous decisions repulsively biases sensory encoding but attractively biases decision-making.PLoS biology · 2025Article
- Opposing serial effects of stimulus and choice in speech perception scale with context variability.iScience · 2024Article
- Multiple and subject-specific roles of uncertainty in reward-guided decision-making.bioRxiv : the preprint server for biology · 2024Article
- Proactive response preparation contributes to contingency learning: novel evidence from force-sensitive keyboards.Psychological research · 2024Article
- Continuity fields enhance visual perception through positive serial dependence.Nature reviews. Psychology · 2024Article
- The representation of priors and decisions in the human parietal cortex.PLoS biology · 2024Article
- Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Humans and other animals tend to repeat or alternate their previous choices, even when judging sensory stimuli presented in a random sequence. It is unclear if and how sensory, associative, and motor cortical circuits produce these idiosyncratic behavioral biases. Here, we combined behavioral modeling of a visual perceptual decision with magnetoencephalographic (MEG) analyses of neural dynamics, across multiple regions of the human cerebral cortex. We identified distinct history-dependent neural signals in motor and posterior parietal cortex. Gamma-band activity in parietal cortex tracked previous choices in a sustained fashion, and biased evidence accumulation toward choice repetition; sustained beta-band activity in motor cortex inversely reflected the previous motor action, and biased the accumulation starting point toward alternation. The parietal, not motor, signal mediated the impact of previous on current choice and reflected individual differences in choice repetition. In sum, parietal cortical signals seem to play a key role in shaping choice sequences.
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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.