Implicit learning.
Abstract
Implicit learning is nonepisodic learning of complex information in an incidental manner, without awareness of what has been learned. Implicit learning experiments use 3 different stimulus structures (visual, sequence, and function) and 3 different dependent measures or response modalities (conceptual fluency, efficiency, and prediction and control). Implicit learning may require a certain minimal amount of attention and may depend on attentional and working memory mechanisms. The result of implicit learning is implicit knowledge in the form of abstract (but possibly instantiated) representations rather than verbatim or aggregate representations. Implicit learning shows biases and dissociations in learning different stimulus structures. The dependence of implicit learning on particular brain areas is discussed, some conclusions are drawn for modeling implicit learning, and the interaction of implicit and explicit learning is considered.
Cited by (29)
- Contextual Cueing: Implicit Learning and Memory of Visual Context Guides Spatial AttentionChun, Marvin M., Jiang, Yuhong · 1998 · Cognitive Psychology
- Event perception: a mind-brain perspectiveZacks, Jeffrey M., Speer, Nicole K., Swallow, Khena M., Braver, Todd S., Reynolds, Jeremy R. · 2007 · Psychological Bulletin
- Characteristics of dissociable human learning systemsShanks, David R., St. John, Mark F. · 1994 · Behavioral and Brain Sciences
- Becoming syntacticChang, Franklin, Dell, Gary S., Bock, Kathryn · 2006 · Psychological Review
- Leadership skills for a changing worldMumford, Michael D, Zaccaro, Stephen J, Harding, Francis D, Jacobs, T.Owen, Fleishman, Edwin A · 2000 · The Leadership Quarterly
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Implicit learning. https://app.cochat.ai/papers/10.1037//0033-2909.115.2.163
- The paper
- Seger, C. A. (1994). Implicit learning. Psychological Bulletin. https://doi.org/10.1037//0033-2909.115.2.163
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.