ArticleHuman brain mapping2016
A Comparison of the neural correlates that underlie rule-based and information-integration category learning.
Article in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning.Neuron · 2017Pooled it
- Category learning difficulties in ADHD across modalities and multiple learning systems.Psychonomic bulletin & review · 2025Article
- The dynamic interplay between in-context and in-weight learning in humans and neural networks.ArXiv · 2025Article
- Parallel trade-offs in human cognition and neural networks: The dynamic interplay between in-context and in-weight learning.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- The Effect of Concurrent Auditory Working Memory Task in Auditory Category Learning.Behavioral sciences (Basel, Switzerland) · 2025Article
- Iron deficiency negatively affects behavioral measures of learning, indirect neural measures of dopamine, and neural efficiency.Cognitive, affective & behavioral neuroscience · 2025Article
- The effect of deferring feedback on rule-based and information-integration category learning.PloS one · 2025Article
- Dissociable Roles of the Dorsolateral and Ventromedial Prefrontal Cortex in Human Categorization.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Stable, flexible, common, and distinct behaviors support rule-based and information-integration category learning.NPJ science of learning · 2023Article
- Neural correlates of the inverse base rate effect.Human brain mapping · 2022Article
- Neural dynamics underlying the acquisition of distinct auditory category structures.NeuroImage · 2021Article
- The impact of training methodology and representation on rule-based categorization: An fMRI study.Cognitive, affective & behavioral neuroscience · 2021Article
- A dimensional summation account of polymorphous category learning.Learning & behavior · 2020Article
- The Role of Edge-Based and Surface-Based Information in Incidental Category Learning: Evidence From Behavior and Event-Related Potentials.Frontiers in integrative neuroscience · 2020Article
- Procedural Learning Improves Cognition in Multiple Sclerosis.Journal of Alzheimer's disease : JAD · 2020Article
- Dissociable learning processes, associative theory, and testimonial reviews: A comment on Smith and Church (2018).Psychonomic bulletin & review · 2019Article
- Which Matters More in Incidental Category Learning: Edge-Based Versus Surface-Based Features.Frontiers in psychology · 2019Article
- A Similarity-Based Process for Human Judgment in the Parietal Cortex.Frontiers in human neuroscience · 2018Article
- Procedural-Memory, Working-Memory, and Declarative-Memory Skills Are Each Associated With Dimensional Integration in Sound-Category Learning.Frontiers in psychology · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The influential competition between verbal and implicit systems (COVIS) model proposes that category learning is driven by two competing neural systems-an 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. © 2016 Wiley Periodicals, Inc.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.