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Journal of Vision· 2026Q2

Dynamics of individual visual biases in space and time

Mark Wexler

Short summary

Individual visual perception biases, previously shown to be stable over time and across space, are actually positively autocorrelated in both dimensions, meaning nearby biases are more similar.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Individual visual biases are positively autocorrelated in space and time.
  • Biases are more similar when measured at closer spatial locations or temporal points.
  • Spatial and temporal variations in biases are correlated within and between participants.
  • Bias variations follow non-random dynamics, potentially revealing underlying mechanisms.

AI-generated from the title and abstract; the full text is not read.

Abstract

Recent work has brought to light a number of stimulus families whose perception is shaped by strong idiosyncratic biases. These biases differ significantly from one observer to the next, yet remain quite stable within observers when measured over multiple points in time, sometimes over months or even years. Nevertheless, we have previously shown that at least some of these biases undergo small but systematic changes over time. Although these temporal changes are also idiosyncratic, they generally act as a kind of memory that accumulates small random steps. Other research has shown that when stimuli are shown at different points in the visual field, biases can vary idiosyncratically across the spatial field as well. Here we ask whether variations in biases across space follow any regular pattern and whether spatial and temporal variations are independent of one another. Measuring biases for surface orientation in structure-from-motion stimuli, sampled at numerous points in space and time, we find that variations both in time and space are positively autocorrelated: the closer two points are to each other in space or in time, the more similar the biases at those two points. We also found that spatial and temporal variations of bias are correlated, both between and within participants. Bias variations over space, time, and space-time are therefore not random but follow dynamics that may provide clues about the underlying mechanisms.

The authors' abstract, as published at the source. Journal of Vision, 2026 · DOI ↗

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Field: Cognitive Neuroscience

Cognitive NeuroscienceNeuroscience