A Comparison of the neural correlates that underlie rule-based and information-integration category learning

作者：Carpenter Kathryn L; Wills Andy J; Benattayallah Abdelmalek; Milton Fraser

来源：Human Brain Mapping, 2016, 37(10): 3557-3574.

DOI：10.1002/hbm.23259

• magnetic resonance imaging
• learning
• verbal
• hippocampus
• parahippocampal gyrus
• caudate nucleus

The influential competition between verbal and implicit systems (COVIS) model proposes that category learning is driven by two competing neural systemsan explicit, verbal, system, and a procedural-based, implicit, system. In the current fMRI study, participants learned either a conjunctive, rule-based (RB), category structure that is believed to engage the explicit system, or an information-integration category structure that is thought to preferentially recruit the implicit system. The RB and information-integration category structures were matched for participant error rate, the number of relevant stimulus dimensions, and category separation. Under these conditions, considerable overlap in brain activation, including the prefrontal cortex, basal ganglia, and the hippocampus, was found between the RB and information-integration category structures. Contrary to the predictions of COVIS, the medial temporal lobes and in particular the hippocampus, key regions for explicit memory, were found to be more active in the information-integration condition than in the RB condition. No regions were more activated in RB than information-integration category learning. The implications of these results for theories of category learning are discussed. Hum Brain Mapp 37:3557-3574, 2016.

• 出版日期2016-10