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Implicit learning: news from the front.

Axel Cleeremans, Arnaud Destrebecqz, M Boyer

Trends in Cognitive Sciences October 1, 1998 DOI: 10.1016/s1364-6613(98)01232-7 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Review Peer reviewed
Key findings Argues that implicit learning is best construed as a complex form of priming in continuously learning neural systems, and that the distributional knowledge so acquired can be causally efficacious without awareness of its acquisition or current influence (without metaknowledge). The authors note that while unconscious processing in cognition seems undeniable, it remains unclear how to separate conscious and unconscious influences on learning.

Abstract

Can we learn without awareness? While the current consensus is most likely to be `no', there is, however, considerable ongoing debate about the role that consciousness plays in cognition and about the nature of consciousness itself. In this article, we review recent advances in the field of implicit learning, based on three perspectives: empirical findings (including neuropsychological evidence), methodological issues, and theoretical positions (including computational models). The overall picture that emerges is complex and reflects a field that is very much in flux: while it seems undeniable that cognition involves some form of unconscious processing, it is as yet unclear how to best separate conscious and unconscious influences on learning, and how to best think about the status of the `cognitive unconscious'. We suggest that implicit learning is best construed as a complex form of priming taking place in continuously learning neural systems, and that the distributional knowledge so acquired can be causally efficacious in the absence of awareness that this knowledge was acquired or that it is currently influencing processing, that is, in the absence of metaknowledge.

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