Perceptual Learning

Policy Insights From Basic Research to Real-World Applications

Bibliographic Data

ID22124654
AuthorsAaron R Seitz (0000-0003-4936-9303, Northeastern University, corresponding author), Allison Sekuler (McMaster University, Hamilton), Allison B Sekuler (0000-0002-7400-7585, McMaster University), Barbara Anne Dosher (University of California, Irvine), Barbara Dosher (University of California, Irvine), Beverly A Wright (Northwestern University), Chang‐Bing Huang (0000-0003-4694-0834, Institute of Psychology, Chinese Academy of Sciences), Chang-Bing Huang (Institute of Psychology, Beijing), Charles S Green (0000-0002-9290-0262, University of Wisconsin–Madison), Christopher C Pack (0000-0002-5538-7914, McGill University), Dov Sagi (0000-0002-8446-9230, Weizmann Institute of Science), Dennis Levi (University of California, Berkeley), Dennis M Levi (0000-0002-5350-8639, University of California, Berkeley), Duje Tadin (0000-0003-1571-5589, University of Rochester), Elizabeth Quinlan (0000-0003-0267-0414, University of Maryland, College Park), Elizabeth M Quinlan (0000-0003-3496-6607, University of Maryland, College Park), Fang Jiang (0009-0002-6386-2022, University of Nevada, Reno), Gabriel J Diaz (0000-0002-1812-017X, Rochester Institute of Technology), Geoffrey Ghose (University of Minnesota, Minneapolis), Geoffrey M Ghose (0000-0002-2227-3179, University of Minnesota System), József Fiser (0000-0002-7064-0690, Central European University), Karen Banai (0000-0002-2990-0470, University of Haifa), Kristina Visscher (0000-0003-0737-4024, University of Alabama at Birmingham), Krystel Huxlin (University of Rochester, Rochester), Krystel R Huxlin (0000-0001-7138-6156, University of Rochester), Ladan Shams (0000-0001-9303-9921, University of California, Los Angeles), Lorella Battelli (0000-0001-9981-4028, Harvard University), Marisa Carrasco (0000-0002-1002-9056, New York University), Michael Herzog (0000-0003-1363-8372, Ecole polytechnique fédérale de Lausanne), Michael H Herzog (0000-0001-5433-1030, Ecole polytechnique fédérale de Lausanne), Michael Webster (0000-0001-6468-952X, University of Nevada, Reno), Miguel P Eckstein (0000-0002-5528-355X, University of California, Santa Barbara), Miguel Eckstein (University of California, Santa Barbara), Nicholas B Turk-Browne (0000-0001-7519-3001, Yale University), Nitzan Censor (0000-0001-7608-6064, Tel Aviv University), Peter de Weerd (0000-0003-2252-5548, Maastricht University), Rufin Vogels (0000-0002-8778-835X, KU Leuven), Shaul Hochstein (0000-0002-1172-2952, Hebrew University of Jerusalem), Takeo Watanabe (0000-0002-4562-5376, Brown University), Yuka Sasaki (0000-0002-0570-3659, Brown University), Uri Polat (0000-0002-4564-2731, Bar-Ilan University), Zhong‐Lin Lu (0000-0002-7295-727X, New York University), Zhong-Lin LU (New York University Shanghai, Shanghai and New York University, New York), Zoe Kourtzi (0000-0001-9441-7832, University of Cambridge)
Year2023
Volume10
Issue2
Pages324-332
Publication date2023-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolicy Insights from the Behavioral and Brain Sciences (JOURNAL)
Journal identifiersISSN: 2372-7322 • E-ISSN: 2372-7330
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/23727322231195268
OpenAlexW4387956572
LanguageEN
Citations received1
References cited51

Perceptual learning is the process by which experience alters how incoming sensory information is processed by the brain to give rise to behavior—it is critical for how humans educate children, train experts, treat diseases, and promote health and well-being throughout the lifespan. Knowledge of perceptual learning requires basic and applied research in humans and nonhuman animal models, which informs strategic targets for advancing applications. Commercial products to induce perceptual learning are proliferating rapidly with limited regulation (e.g., for rehabilitation), while at the same time basic science is increasingly restricted by changing regulations (such as new granting-agency definitions of clinical trials). Realizing the full potential of perceptual learning requires balancing basic and translational science to advance new knowledge, while serving and protecting consumers. Reforms can promote open, accessible, and representative research, and the translation of this research to applications across different sectors of society

Cognitive psychology · Cognitive science · Perception · Perceptual Learning · Sociology · Translational research · Computer Science · Medicine · Neural and Behavioral Psychology Studies · Neural dynamics and brain function · Neuroscience · Psychology

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