Learning what to see in a changing world
Gespeichert in:
Verfasser / Beitragende:
[Katharina Schmack, Veith Weilnhammer, Jakob Heinzle, Klaas E Stephan, Philipp Sterzer]
Ort, Verlag, Jahr:
2016
Enthalten in:
Frontiers in Human Neuroscience:10:263.
Format:
Artikel (online)
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|---|---|---|---|
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| 008 | 180924e20160531xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.5167/uzh-126408 |2 doi |
| 024 | 7 | 0 | |a 10.3389/fnhum.2016.00263 |2 doi |
| 035 | |a (ZORA)oai:www.zora.uzh.ch:126408 | ||
| 035 | |a (ETHRESEARCH)oai:www.research-collecti.ethz.ch:20.500.11850/117239 | ||
| 084 | |a 330 |2 ddc | ||
| 245 | 0 | 0 | |a Learning what to see in a changing world |h [Elektronische Daten] |c [Katharina Schmack, Veith Weilnhammer, Jakob Heinzle, Klaas E Stephan, Philipp Sterzer] |
| 506 | |a openAccess |2 eu-repo | ||
| 520 | 3 | |a Visual perception is strongly shaped by expectations, but it is poorly understood how such perceptual expectations are learned in our dynamic sensory environment. Here, we applied a Bayesian framework to investigate whether perceptual expectations are continuously updated from different aspects of ongoing experience. In two experiments, human observers performed an associative learning task in which rapidly changing expectations about the appearance of ambiguous stimuli were induced. We found that perception of ambiguous stimuli was biased by both learned associations and previous perceptual outcomes. Computational modeling revealed that perception was best explained by a model that continuously updated priors from associative learning and perceptual history and combined these priors with the current sensory information in a probabilistic manner. Our findings suggest that the construction of visual perception is a highly dynamic process that incorporates rapidly changing expectations from different sources in a manner consistent with Bayesian learning and inference. | |
| 540 | |a Creative Commons Attribution 4.0 International |u http://creativecommons.org/licenses/by/4.0 |2 ethresearch | ||
| 690 | 7 | |a Department of Economics |2 zora | |
| 690 | 7 | |a Visual perception |2 ethresearch | |
| 690 | 7 | |a Bayesian brain |2 ethresearch | |
| 690 | 7 | |a Bistable perception |2 ethresearch | |
| 690 | 7 | |a Associative learning |2 ethresearch | |
| 690 | 7 | |a Sensory memory |2 ethresearch | |
| 690 | 7 | |a Hierarchical Gaussian filter |2 ethresearch | |
| 700 | 1 | |a Schmack |D Katharina |e joint author | |
| 700 | 1 | |a Weilnhammer |D Veith |e joint author | |
| 700 | 1 | |a Heinzle |D Jakob |e joint author | |
| 700 | 1 | |a Stephan |D Klaas E. |e joint author | |
| 700 | 1 | |a Sterzer |D Philipp |e joint author | |
| 773 | 0 | |t Frontiers in Human Neuroscience:10:263. | |
| 856 | 4 | 0 | |u https://www.zora.uzh.ch/id/eprint/126408/1/fnhum-10-00263.pdf |q text/html |z WWW-Backlink auf das Repository |
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| 950 | |B ZORA |P 856 |E 40 |u https://www.zora.uzh.ch/id/eprint/126408/1/fnhum-10-00263.pdf |q text/html |z WWW-Backlink auf das Repository | ||
| 950 | |B ZORA |P 700 |E 1- |a Schmack |D Katharina |e joint author | ||
| 950 | |B ZORA |P 700 |E 1- |a Weilnhammer |D Veith |e joint author | ||
| 950 | |B ZORA |P 700 |E 1- |a Heinzle |D Jakob |e joint author | ||
| 950 | |B ZORA |P 700 |E 1- |a Stephan |D Klaas E. |e joint author | ||
| 950 | |B ZORA |P 700 |E 1- |a Sterzer |D Philipp |e joint author | ||
| 950 | |B ZORA |P 773 |E 0- |t Frontiers in Human Neuroscience:10:263 | ||
| 950 | |B ETHRESEARCH |P 856 |E 40 |u http://hdl.handle.net/20.500.11850/117239 |q text/html |z WWW-Backlink auf das Repository (Open access) | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Schmack |D Katharina |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Weilnhammer |D Veith |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Heinzle |D Jakob; id_orcid 0000-0001-5228-041X |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Stephan |D Klaas E. |e joint author | ||
| 950 | |B ETHRESEARCH |P 700 |E 1- |a Sterzer |D Philipp |e joint author | ||
| 950 | |B ETHRESEARCH |P 773 |E 0- |t Frontiers in Human Neuroscience |d Lausanne : Frontiers Research Foundation |g 10, p. 263 | ||
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| 949 | |B ZORA |F ZORA |b ZORA |j Journal Article |c openAccess | ||
| 949 | |B ETHRESEARCH |F ETHRESEARCH |b ETHRESEARCH |j Journal Article |c Open access | ||