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A neurocomputational theory of how explicit learning bootstraps early procedural learning

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Ego depletion interferes with rule-defined category learning but not non-rule-defined category learning

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Roeder, J. L., & Ashby, F. G. (2016) · Cognition · doi:10.1016/j.cognition.2016.04.005 · Cited by 14 · see citing works

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Interpretive monitoring in the caudate nucleus

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The C957T polymorphism in the dopamine receptor D2 gene modulates domain-general category learning

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An adaptive linear filter model of procedural category learning

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Koziol, L. F., & Budding, D. E. (2008) · Springer eBooks · doi:10.1007/978-0-387-84868-6_4 · Cited by 4 · see citing works

A computational model of prefrontal and striatal interactions in perceptual category learning

Hélie, S., Lim, L. X., Fansher, M., & Redick, T. S. (2023) · Brain and Cognition · doi:10.1016/j.bandc.2023.105970 · Cited by 3 · see citing works

Procedural and declarative knowledge simultaneously contribute to category response selection

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Computational models inform clinical science and assessment: An application to category learning in striatal-damaged patients

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Auditory and visual category learning in children and adultsPreprint

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Waldmann, M. R. (2024) · Springer eBooks · doi:10.1007/978-3-662-68476-4_12 · Cited by 2 · see citing works

Double training promotes retinotopic transfer of category learning

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The art of scaling up : a computational account on action selection in basal ganglia

Nallapu, B. T., Rougier, N. P., & Bapi, R. S. (2016) · HAL · Cited by 1 · see citing works

Computational Modeling of Basic Cognitive Functionalities

(2023) · Cambridge University Press eBooks · doi:10.1017/9781108755610.014 · Cited by 1 · see citing works

Category Learning as a Cognitive Foundation of Language Evolution

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Focal putamen lesions impair learning in rule-based, but not information-integration categorization tasks

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The Neurobiology of Category Learning

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Basal ganglia and dopamine contributions to probabilistic category learning

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Ashby, F. G., & Spiering, B. J. (2013)