.png){kind=icon}
返回
Human category learning 2.0
.png){kind=icon}
OA
AI
DOI：10.1111/j.1749-6632.2010.05874.x.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
During the 1990s and early 2000s, cognitive neuroscience investigations of human category learning focused on the primary goal of showing that humans have multiple category-learning systems and on the secondary goals of identifying key qualitative properties of each system and of roughly mapping out the neural networks that mediate each system. Many researchers now accept the strength of the evidence supporting multiple systems, and as a result, during the past few years, work has begun on the second generation of research questions that is, on questions that begin with the assumption that humans have multiple category-learning systems. This article reviews much of this second generation of research. Topics covered include (1) How do the various systems interact? (2) Are there different neural systems for categorization and category representation? (3) How does automaticity develop in each system? and (4) Exactly how does each system learn?
Keyword:
categorization
memory system interactions
automaticity
striatum
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
暂无期刊信息
机构
引用论文
分享收藏分享收藏Hierarchical Alteration of Brain Structural and Functional Networks in Female Migraine Sufferers.png)
PLoS ONEOAAI
PLoS ONEIF0
OAAI分享收藏
查看更多内容