ReviewJournal of vision2026
Actions as perceptual experiments.
Review in Journal of vision, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
How do we know where (and when) things happen? We review evidence that actions operate as experiments that test and recalibrate internal spatial hypotheses. Postsaccadic errors across ∼100,000 daily saccades induce serial dependencies that shift visual localization. During eye-head gaze shifts, the brain compares expected self-generated motion with sensed motion; subtle velocity-gain perturbations bias perception and head kinematics. In locomotion, manipulating optic-flow speed changes walked distance and, in turn, rescales perceived depth. Temporal reproduction shows serial dependence within action but little transfer to visual time perception. Together, these findings support a unifying perspective on visual space perception as a permanent and active probing of our internal predictions about the environment.
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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.