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Cleeremans, A., & Dienes, Z. (2008). Computational Models of Implicit Learning. In R. Sun (Ed.), Cambridge Handbook of Computational Psychology (pp. 396-421). Cambridge: Cambridge University Press.
http://dx.doi.org/10.1017/CBO9780511816772.018

has been cited by the following article:

• TITLE: A Review of Models in Experimental Studies of Implicit Language Learning

  AUTHORS: Si Liu, Huangmei Liu

  KEYWORDS: Implicit Learning; Attention; Awareness Measurement; Stimulus Design; Artificial Grammar; Sequence Learning

  JOURNAL NAME: Open Journal of Modern Linguistics, Vol.4 No.1, February 14, 2014

  ABSTRACT: The present review analyzes experimental research on implicit learning using linguistic stimuli, and proposes five key procedures of a framework for empirical studies of implicit learning. Our review begins with a brief overview of the current state of research on implicit learning, and then presents the procedures in detail: 1) choosing theoretical assumptions from psychology; 2) designing stimuli; 3) exposing subjects to information; 4) testing implicit learning; and 5) measuring subjects’ state of awareness. This framework is intended to assist researchers in designing experiments on implicit learning both more comprehensively and with fewer flaws.