ReviewPsychonomic bulletin & review2015
Multiple stages of learning in perceptual categorization: evidence and neurocomputational theory.
Review in Psychonomic bulletin & review, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 39 citations in OpenAlex.
- Emergence of Categorical Representations in Parietal and Ventromedial Prefrontal Cortex across Extended Training.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- The role of posterior parietal cortex in detecting changes in feedback contingency.Brain structure & function · 2024Article
- Linear separability, irrelevant variability, and categorization difficulty.Journal of experimental psychology. Learning, memory, and cognition · 2022Article
- Category learning in a recurrent neural network with reinforcement learning.Frontiers in psychiatry · 2022Article
- Differing effects of gain and loss feedback on rule-based and information-integration category learning.Psychonomic bulletin & review · 2021Article
- The role of differential outcomes-based feedback on procedural memory.Psychological research · 2021Article
- A difficulty predictor for perceptual category learning.Journal of vision · 2019Article
- Novel representations that support rule-based categorization are acquired on-the-fly during category learning.Psychological research · 2019Article
- Quantitative modeling of category learning deficits in various patient populations.Neuropsychology · 2017Review
- A neural interpretation of exemplar theory.Psychological review · 2017Article
- Perceptual category learning and visual processing: An exercise in computational cognitive neuroscience.Neural networks : the official journal of the International Neural Network Society · 2017Article
- What is automatized during perceptual categorization?Cognition · 2016Article
- Article
- Generalization in category learning: the roles of representational and decisional uncertainty.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015Article
- Answering questions about consciousness by modeling perception as covert behavior.Frontiers in psychology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Virtually all current theories of category learning assume that humans learn new categories by gradually forming associations directly between stimuli and responses. In information-integration category-learning tasks, this purported process is thought to depend on procedural learning implemented via dopamine-dependent cortical-striatal synaptic plasticity. This article proposes a new, neurobiologically detailed model of procedural category learning that, unlike previous models, does not assume associations are made directly from stimulus to response. Rather, the traditional stimulus-response (S-R) models are replaced with a two-stage learning process. Multiple streams of evidence (behavioral, as well as anatomical and fMRI) are used as inspiration for the new model, which synthesizes evidence of multiple distinct cortical-striatal loops into a neurocomputational theory. An experiment is reported to test a priori predictions of the new model that: (1) recovery from a full reversal should be easier than learning new categories equated for difficulty, and (2) reversal learning in procedural tasks is mediated within the striatum via dopamine-dependent synaptic plasticity. The results confirm the predictions of the new two-stage model and are incompatible with existing S-R models.
Indexed as
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What 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.