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Perceptual Learning: Policy Insights From Basic Research to Real-World Applications

  • Aaron R. Seitz*
  • , Allison Sekuler
  • , Barbara Dosher
  • , Beverly A. Wright
  • , Chang Bing Huang
  • , C. Shawn Green
  • , Christopher C. Pack
  • , Dov Sagi
  • , Dennis Levi
  • , Duje Tadin
  • , Elizabeth Quinlan
  • , Fang Jiang
  • , Gabriel J. Diaz
  • , Geoffrey Ghose
  • , Jozsef Fiser
  • , Karen Banai
  • , Kristina Visscher
  • , Krystel Huxlin
  • , Ladan Shams
  • , Lorella Battelli
  • Marisa Carrasco, Michael Herzog, Michael Webster, Miguel Eckstein, Nicholas B. Turk-Browne, Nitzan Censor, Peter De Weerd, Rufin Vogels, Shaul Hochstein, Takeo Watanabe, Yuka Sasaki, Uri Polat, Zhong Lin Lu, Zoe Kourtzi
*Corresponding author for this work
  • Northeastern University
  • McMaster University
  • University of California at Irvine
  • Northwestern University
  • CAS - Institute of Psychology
  • University of Wisconsin-Madison
  • McGill University
  • Weizmann Institute of Science
  • University of California at Berkeley
  • University of Rochester
  • University of Maryland, College Park
  • University of Nevada, Reno
  • Rochester Institute of Technology
  • University of Minnesota Twin Cities
  • University of Haifa
  • University of Alabama at Birmingham
  • University of California at Los Angeles
  • Harvard University
  • New York University
  • Swiss Federal Institute of Technology Lausanne
  • University of California at Santa Barbara
  • Yale University
  • Tel Aviv University
  • Maastricht University
  • KU Leuven
  • Brown University
  • Bar-Ilan University
  • New York University Shanghai
  • University of Cambridge

Research output: Contribution to journalArticlepeer-review

Abstract (may include machine translation)

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.

Original languageEnglish
Pages (from-to)324-332
Number of pages9
JournalPolicy Insights from the Behavioral and Brain Sciences
Volume10
Issue number2
DOIs
StatePublished - Oct 2023

Keywords

  • brain plasticity
  • clinical applications
  • clinical trials
  • consumer applications
  • perceptual learning

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