Associative sequence learning in humans

Journal of Experimental Psychology. Animal Behavior Processes
Rainer Spiegel, I P L McLaren

Abstract

In a series of experiments using the serial reaction time paradigm, the authors compared the predictions of a powerful associative model of sequence learning (the simple recurrent network; J. L. Elman, 1990) with human performance on the problem devised by A. Maskara and W. Noetzel (1993). Even though the predictions made by the simple recurrent network for variants of this problem are often counterintuitive, they matched human performance closely, suggesting that performance was associatively based rather than rule based. Simple associative chaining models of sequence learning, however, have difficulty in accommodating these results. The authors' conclusion is that, under the conditions of the experiments, human sequence learning is associatively driven, as long as this is understood to mean that a sufficiently powerful means of extracting the statistical regularities in the sequences is in play.

References

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Citations

Oct 8, 2013·Neurobiology of Learning and Memory·I P L McLarenN J Mackintosh
Jan 18, 2012·Cortex; a Journal Devoted to the Study of the Nervous System and Behavior·Alexia AnagnostopoulosPeter Brugger
Nov 19, 2011·Consciousness and Cognition·Tom BeesleyDavid R Shanks
Jan 28, 2014·The Behavioral and Brain Sciences·I P L McLarenF Yeates
Nov 25, 2014·Perspectives on Psychological Science : a Journal of the Association for Psychological Science·Frederick VerbruggenChristopher D Chambers

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