Causal inference for spatial constancy across saccades
Number of pages
SourcePlos Computational Biology, 12, 3, (2016), article e1004766
Article / Letter to editor
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SW OZ DCC CO
SW OZ DCC SMN
Plos Computational Biology
SubjectAction, intention, and motor control; DI-BCB_DCC_Theme 2: Perception, Action and Control
During saccadic eye movements, the image on our retinas is, contrary to subjective experience, highly unstable. This study examines how the brain distinguishes the image perturbations caused by saccades and those due to changes in the visual scene. We first show that participants made severe errors in judging the presaccadic location of an object that shifts during a saccade. We then show that these observations can be modeled based on causal inference principles, evaluating whether presaccadic and postsaccadic object percepts derive from a single stable object or not. On a single trial level, this evaluation is not ?either/or? but a probability that also determines the weight by which pre- and postsaccadic signals are separated and integrated in judging object locations across saccades.
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