ArticlePsychonomic bulletin & review2021
Identifying the neural dynamics of category decisions with computational model-based functional magnetic resonance imaging.
Article in Psychonomic bulletin & review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Disrupted visual-to-semantic dynamics promote visual hallucinations in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Dual learning systems in talker identification: the effects of language, accent, and feedback.Attention, perception & psychophysics · 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
- Individual differences in working memory impact the trajectory of non-native speech category learning.PloS one · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Successful categorization requires a careful coordination of attention, representation, and decision making. Comprehensive theories that span levels of analysis are key to understanding the computational and neural dynamics of categorization. Here, we build on recent work linking neural representations of category learning to computational models to investigate how category decision making is driven by neural signals across the brain. We uniquely combine functional magnetic resonance imaging with drift diffusion and exemplar-based categorization models to show that trial-by-trial fluctuations in neural activation from regions of occipital, cingulate, and lateral prefrontal cortices are linked to category decisions. Notably, only lateral prefrontal cortex activation was associated with exemplar-based model predictions of trial-by-trial category evidence. We propose that these brain regions underlie distinct functions that contribute to successful category learning.
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Identifiers
33963487What OpenQuestion holds
Registered trials
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.