ArticleNature human behaviour2021
Neurocomputational mechanisms of prior-informed perceptual decision-making in humans.
Article in Nature human behaviour, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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The trial behind it
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Who cites it
53 citing papers in PubMed.
- Transcutaneous vagus nerve stimulation boosts evidence accumulation during perceptual decision making.iScience · 2026Article
- Prior Expectations Bias Confidence Judgments Through Parietal Alpha-Band Modulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
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- Readout and delayed transmission of initial afferent V1 activity in decisions about stimulus contrast.eLife · 2026Article
- A Movement-Independent Signature of Urgency during Human Perceptual Decision-Making.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Phasic and tonic arousal distinctly shape human decision bias.Communications biology · 2026Article
- Misspecified models create the appearance of adaptive control during value-based choice.Communications psychology · 2026Article
- Distinct audio and visual accumulators co-activate motor preparation for multisensory detection.Nature human behaviour · 2026Article
- Qualia as control-theoretic constructs for autonomous agents: event phase space as an action-oriented semantic safety layer.Frontiers in robotics and AI · 2026Article
- The late positive component in recognition memory is linked to mnemonic evidence accumulation.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Human brain imaging with high-density electroencephalography: Techniques and applications.The Journal of physiology · 2026Review
- Response Preparation and the Simon Effect: Experimental and Model-Based Analyses.Journal of cognition · 2026Article
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- Blaming luck, claiming skill: Self-attribution bias in error assignment.PLoS computational biology · 2025Article
- Reduced weighting of short-term perceptual priors during auditory perceptual decision-making in psychosis-prone individuals.BMC biology · 2025Article
- Empirically Integrating the Evidence for Different Predictive Coding Components Using Auditory False Perception.Human brain mapping · 2025Article
- Limited Evidence for Probabilistic Cueing Effects on Grating-Evoked Event-Related Potentials and Orientation Decoding Performance.Psychophysiology · 2025Article
- Disentangling sources of variability in decision-making.Nature reviews. Neuroscience · 2025Review
- Dissociable encoding of evolving beliefs and momentary belief updates in distinct neural decision signals.Nature communications · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To interact successfully with diverse sensory environments, we must adapt our decision processes to account for time constraints and prior probabilities. The full set of decision-process parameters that undergo such flexible adaptation has proven to be difficult to establish using simplified models that are based on behaviour alone. Here, we utilize well-characterized human neurophysiological signatures of decision formation to construct and constrain a build-to-threshold decision model with multiple build-up (evidence accumulation and urgency) and delay components (pre- and post-decisional). The model indicates that all of these components were adapted in distinct ways and, in several instances, fundamentally differ from the conclusions of conventional diffusion modelling. The neurally informed model outcomes were corroborated by independent neural decision signal observations that were not used in the model's construction. These findings highlight the breadth of decision-process parameters that are amenable to strategic adjustment and the value in leveraging neurophysiological measurements to quantify these adjustments.
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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.