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Noise and the Emergence of Rules in Category Learning: A Connectionist Model.

, and . IEEE Trans. Auton. Ment. Dev., 3 (3): 194-206 (2011)

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From Chicken Squawking to Cognition: Levels of description and the Computational Approach in Psychology, and . Psychologica Belgica, (1996)The Turing Test: the first 50 years. Trends in Cognitive Sciences, 4 (3): 115--122 (2000)High-level perception, representation, and analogy: a critique of artificial intelligence methodology., , and . J. Exp. Theor. Artif. Intell., 4 (3): 185-211 (1992)Noise and the Emergence of Rules in Category Learning: A Connectionist Model., and . IEEE Trans. Auton. Ment. Dev., 3 (3): 194-206 (2011)A Neurobiologically Inspired Model of Working Memory Based on Neuronal Synchrony and Rythmicity., and . NCPW, page 155-167. Springer, (1997)Computational Modeling in Cognitive Science: A Manifesto for Change., and . Top. Cogn. Sci., 4 (3): 332-341 (2012)The Dynamical Hypothesis in Cognitive Science: A Review Essay of Mind As Motion., and . Minds Mach., 11 (1): 101-111 (2001)Understanding the What and When of Analogical Reasoning Across Analogy Formats: An Eye-Tracking and Machine Learning Approach., , and . Cogn. Sci., (November 2022)In the Eyes of the Beholder: What Eye-Tracking Reveals About Analogy-Making Strategies in Children and Adults., , , , and . CogSci, cognitivesciencesociety.org, (2011)Online Task-free Continual Learning with Dynamic Sparse Distributed Memory., , and . ECCV (25), volume 13685 of Lecture Notes in Computer Science, page 739-756. Springer, (2022)