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Vision Research
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Vision Research
Article . 2006
License: Elsevier Non-Commercial
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Vision Research
Article . 2006 . Peer-reviewed
License: Elsevier Non-Commercial
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Article . 2006
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Article . 2006
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Perceptual learning with spatial uncertainties

Authors: Otto, T.; Herzog, M.; Fahle, M.; Zhaoping, L.;

Perceptual learning with spatial uncertainties

Abstract

In perceptual learning, stimuli are usually assumed to be presented to a constant retinal location during training. However, due to tremor, drift, and microsaccades of the eyes, the same stimulus covers different retinal positions on sequential trials. Because of these variations the mathematical decision problem changes from linear to non-linear (). This non-linearity implies three predictions. First, varying the spatial position of a stimulus within a moderate range does not deteriorate perceptual learning. Second, improvement for one stimulus variant can yield negative transfer to other variants. Third, interleaved training with two stimulus variants yields no or strongly diminished learning. Using a bisection task, we found psychophysical evidence for the first and last prediction. However, no negative transfer was found as opposed to the second prediction.

Keywords

Positional coding, Eye Movements, Uncertainty, Recurrent networks, Ideal observer model, Models, Psychological, Stimulus uncertainty, Sensory Systems, Ophthalmology, Psychophysics, Visual Perception, Humans, Learning, Attention, Bisection task

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 10%
hybrid