期刊
TRENDS IN COGNITIVE SCIENCES
卷 17, 期 8, 页码 401-412出版社
ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tics.2013.06.007
关键词
-
资金
- Medical Research Council of the UK [MC-A060-5PR20]
- European Research Council [ERC-2010-StG 261352]
- Medical Research Council [MC_U105597120] Funding Source: researchfish
- MRC [MC_U105597120] Funding Source: UKRI
The cognitive concept of representation plays a key role in theories of brain information processing. However, linking neuronal activity to representational content and cognitive theory remains challenging. Recent studies have characterized the representational geometry of neural population codes by means of representational distance matrices, enabling researchers to compare representations across stages of processing and to test cognitive and computational theories. Representational geometry provides a useful intermediate level of description, capturing both the information represented in a neuronal population code and the format in which it is represented. We review recent insights gained with this approach in perception, memory, cognition, and action. Analyses of representational geometry can compare representations between models and the brain, and promise to explain brain computation as transformation of representational similarity structure.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据