ArticleeLife2022
Putting perception into action with inverse optimal control for continuous psychophysics.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Color discrimination in action: High-throughput measurement in immersive VR.Journal of vision · 2026Article
- Computational elements of natural vision.Journal of vision · 2025Review
- Inferring learning rules during de novo task learning.bioRxiv : the preprint server for biology · 2025Article
- DynTex: A real-time generative model of dynamic naturalistic luminance textures.Journal of vision · 2025Article
- Visuoinertial and visual feedback in online steering control.PLoS computational biology · 2025Article
- Continuous tracking of audiovisual motion.Journal of vision · 2025Article
- Revealing temporal dynamics of the visuomotor system via continuous tracking of position and attribute.Journal of vision · 2025Article
- Measuring spatial and temporal properties of visual crowding using continuous psychophysics.Journal of vision · 2025Article
- Continuous psychophysics: past, present, future.Trends in cognitive sciences · 2025Review
- Temporal dynamics of human color processing measured using a continuous tracking task.Journal of vision · 2025Article
- A comparative analysis of perceptual noise in lateral and depth motion: Evidence from eye tracking.Journal of vision · 2025Article
- Study protocol TransTAM: Transdiagnostic research into emotional disorders and cognitive-behavioral therapy of the adaptive mind.BMC psychiatry · 2024Article
- Context-dependence of deterministic and nondeterministic contributions to closed-loop steering control.bioRxiv : the preprint server for biology · 2024Article
- Human navigation strategies and their errors result from dynamic interactions of spatial uncertainties.Nature communications · 2024Article
- Movement trajectories as a window into the dynamics of emerging neural representations.Scientific reports · 2024Article
- Continuous psychophysics shows millisecond-scale visual processing delays are faithfully preserved in movement dynamics.Journal of vision · 2024Article
- Modelling dataset bias in machine-learned theories of economic decision-making.Nature human behaviour · 2024Article
- Investigating cross-orientation inhibition with continuous tracking.Journal of vision · 2024Article
- Out of control: computational dynamic control dysfunction in stress- and anxiety-related disorders.Discover mental health · 2024Review
- Precision and temporal dynamics in heading perception assessed by continuous psychophysics.PloS one · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Psychophysical methods are a cornerstone of psychology, cognitive science, and neuroscience where they have been used to quantify behavior and its neural correlates for a vast range of mental phenomena. Their power derives from the combination of controlled experiments and rigorous analysis through signal detection theory. Unfortunately, they require many tedious trials and preferably highly trained participants. A recently developed approach, continuous psychophysics, promises to transform the field by abandoning the rigid trial structure involving binary responses and replacing it with continuous behavioral adjustments to dynamic stimuli. However, what has precluded wide adoption of this approach is that current analysis methods do not account for the additional variability introduced by the motor component of the task and therefore recover perceptual thresholds that are larger compared to equivalent traditional psychophysical experiments. Here, we introduce a computational analysis framework for continuous psychophysics based on Bayesian inverse optimal control. We show via simulations and previously published data that this not only recovers the perceptual thresholds but additionally estimates subjects' action variability, internal behavioral costs, and subjective beliefs about the experimental stimulus dynamics. Taken together, we provide further evidence for the importance of including acting uncertainties, subjective beliefs, and, crucially, the intrinsic costs of behavior, even in experiments seemingly only investigating perception.
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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.