Learning to use an invisible visual signal for perception

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Learning to use an invisible visual signal for perception. / Di Luca, M.; Ernst, M.O.; Backus, B.T.

In: Current Biology, Vol. 20, No. 20, 26.10.2010, p. 1860-1863.

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Di Luca, M. ; Ernst, M.O. ; Backus, B.T. / Learning to use an invisible visual signal for perception. In: Current Biology. 2010 ; Vol. 20, No. 20. pp. 1860-1863.

Bibtex

@article{65f0caaaee8042d7ac8146bd4d5777f9,
title = "Learning to use an invisible visual signal for perception",
abstract = "How does the brain construct a percept from sensory signals? One approach to this fundamental question is to investigate perceptual learning as induced by exposure to statistical regularities in sensory signals [1-7]. Recent studies showed that exposure to novel correlations between sensory signals can cause a signal to have new perceptual effects [2, 3]. In those studies, however, the signals were clearly visible. The automaticity of the learning was therefore difficult to determine. Here we investigate whether learning of this sort, which causes new effects on appearance, can be low level and automatic by employing a visual signal whose perceptual consequences were made invisible - a vertical disparity gradient masked by other depth cues. This approach excluded high-level influences such as attention or consciousness. Our stimulus for probing perceptual appearance was a rotating cylinder. During exposure, we introduced a new contingency between the invisible signal and the rotation direction of the cylinder. When subsequently presenting an ambiguously rotating version of the cylinder, we found that the invisible signal influenced the perceived rotation direction. This demonstrates that perception can rapidly undergo {"}structure learning{"} by automatically picking up novel contingencies between sensory signals, thus automatically recruiting signals for novel uses during the construction of a percept.",
keywords = "Adult, Cues, Germany, Humans, Learning, Photic Stimulation, Sensory Thresholds, Vision, Ocular, Visual Perception",
author = "{Di Luca}, M. and M.O. Ernst and B.T. Backus",
note = "Copyright {\textcopyright} 2010 Elsevier Ltd. All rights reserved.",
year = "2010",
month = oct,
day = "26",
doi = "10.1016/j.cub.2010.09.047",
language = "English",
volume = "20",
pages = "1860--1863",
journal = "Current Biology",
issn = "0960-9822",
publisher = "Elsevier",
number = "20",

}

RIS

TY - JOUR

T1 - Learning to use an invisible visual signal for perception

AU - Di Luca, M.

AU - Ernst, M.O.

AU - Backus, B.T.

N1 - Copyright © 2010 Elsevier Ltd. All rights reserved.

PY - 2010/10/26

Y1 - 2010/10/26

N2 - How does the brain construct a percept from sensory signals? One approach to this fundamental question is to investigate perceptual learning as induced by exposure to statistical regularities in sensory signals [1-7]. Recent studies showed that exposure to novel correlations between sensory signals can cause a signal to have new perceptual effects [2, 3]. In those studies, however, the signals were clearly visible. The automaticity of the learning was therefore difficult to determine. Here we investigate whether learning of this sort, which causes new effects on appearance, can be low level and automatic by employing a visual signal whose perceptual consequences were made invisible - a vertical disparity gradient masked by other depth cues. This approach excluded high-level influences such as attention or consciousness. Our stimulus for probing perceptual appearance was a rotating cylinder. During exposure, we introduced a new contingency between the invisible signal and the rotation direction of the cylinder. When subsequently presenting an ambiguously rotating version of the cylinder, we found that the invisible signal influenced the perceived rotation direction. This demonstrates that perception can rapidly undergo "structure learning" by automatically picking up novel contingencies between sensory signals, thus automatically recruiting signals for novel uses during the construction of a percept.

AB - How does the brain construct a percept from sensory signals? One approach to this fundamental question is to investigate perceptual learning as induced by exposure to statistical regularities in sensory signals [1-7]. Recent studies showed that exposure to novel correlations between sensory signals can cause a signal to have new perceptual effects [2, 3]. In those studies, however, the signals were clearly visible. The automaticity of the learning was therefore difficult to determine. Here we investigate whether learning of this sort, which causes new effects on appearance, can be low level and automatic by employing a visual signal whose perceptual consequences were made invisible - a vertical disparity gradient masked by other depth cues. This approach excluded high-level influences such as attention or consciousness. Our stimulus for probing perceptual appearance was a rotating cylinder. During exposure, we introduced a new contingency between the invisible signal and the rotation direction of the cylinder. When subsequently presenting an ambiguously rotating version of the cylinder, we found that the invisible signal influenced the perceived rotation direction. This demonstrates that perception can rapidly undergo "structure learning" by automatically picking up novel contingencies between sensory signals, thus automatically recruiting signals for novel uses during the construction of a percept.

KW - Adult

KW - Cues

KW - Germany

KW - Humans

KW - Learning

KW - Photic Stimulation

KW - Sensory Thresholds

KW - Vision, Ocular

KW - Visual Perception

UR - http://www.scopus.com/inward/record.url?partnerID=yv4JPVwI&eid=2-s2.0-78049312195&md5=c2c71a5a1a613102767578ae01af7048

U2 - 10.1016/j.cub.2010.09.047

DO - 10.1016/j.cub.2010.09.047

M3 - Article

C2 - 20933421

AN - SCOPUS:78049312195

VL - 20

SP - 1860

EP - 1863

JO - Current Biology

JF - Current Biology

SN - 0960-9822

IS - 20

ER -