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  1.  23
    Stimulus-dependent flexibility in non-human auditory pitch processing.Micah R. Bregman, Aniruddh D. Patel & Timothy Q. Gentner - 2012 - Cognition 122 (1):51-60.
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  2.  20
    Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning.Willem Zuidema, Robert M. French, Raquel G. Alhama, Kevin Ellis, Timothy J. O'Donnell, Tim Sainburg & Timothy Q. Gentner - 2020 - Topics in Cognitive Science 12 (3):925-941.
    Zuidema et al. illustrate how empirical AGL studies can benefit from computational models and techniques. Computational models can help clarifying theories, and thus in delineating research questions, but also in facilitating experimental design, stimulus generation, and data analysis. The authors show, with a series of examples, how computational modeling can be integrated with empirical AGL approaches, and how model selection techniques can indicate the most likely model to explain experimental outcomes.
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  3.  33
    Perceptual categories enable pattern generalization in songbirds.Jordan A. Comins & Timothy Q. Gentner - 2013 - Cognition 128 (2):113-118.
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  4.  13
    Working memory for patterned sequences of auditory objects in a songbird.Jordan A. Comins & Timothy Q. Gentner - 2010 - Cognition 117 (1):38-53.
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