» Articles » PMID: 9697427

A Neuropsychological Theory of Multiple Systems in Category Learning

Overview
Journal Psychol Rev
Specialty Psychology
Date 1998 Aug 11
PMID 9697427
Citations 369
Authors
Affiliations
Soon will be listed here.
Abstract

A neuropsychological theory is proposed that assumes category learning is a competition between separate verbal and implicit (i.e., procedural-learning-based) categorization systems. The theory assumes that the caudate nucleus is an important component of the implicit system and that the anterior cingulate and prefrontal cortices are critical to the verbal system. In addition to making predictions for normal human adults, the theory makes specific predictions for children, elderly people, and patients suffering from Parkinson's disease, Huntington's disease, major depression, amnesia, or lesions of the prefrontal cortex. Two separate formal descriptions of the theory are also provided. One describes trial-by-trial learning, and the other describes global dynamics. The theory is tested on published neuropsychological data and on category learning data with normal adults.

Citing Articles

Simplified Visual Stimuli Impair Retrieval and Transfer in Audiovisual Equivalence Learning Tasks.

Tot K, Eordegh G, Harcsa-Pinter N, Bodosi B, Keri S, Kiss A Brain Behav. 2025; 15(2):e70339.

PMID: 39972938 PMC: 11839764. DOI: 10.1002/brb3.70339.


Type of feedback affects formation of prototype or exemplar representations.

Li P, Chen F, Feng J, Seger C, Liu Z Atten Percept Psychophys. 2025; .

PMID: 39920418 DOI: 10.3758/s13414-025-03010-z.


Effects of sample size information and within- and between-category similarity on study choices in self-regulated learning.

Han L, Xie W, Li P, Seger C, Liu Z Mem Cognit. 2025; .

PMID: 39833461 DOI: 10.3758/s13421-025-01682-4.


Emergence of Categorical Representations in Parietal and Ventromedial Prefrontal Cortex across Extended Training.

Liu Z, Zhang Y, Wen C, Yuan J, Zhang J, Seger C J Neurosci. 2025; 45(9).

PMID: 39746819 PMC: 11867003. DOI: 10.1523/JNEUROSCI.1315-24.2024.


Iron deficiency negatively affects behavioral measures of learning, indirect neural measures of dopamine, and neural efficiency.

Rhoten S, Wenger M, De Stefano L Cogn Affect Behav Neurosci. 2024; 25(1):89-113.

PMID: 39638921 DOI: 10.3758/s13415-024-01241-5.