.png){kind=icon}
返回
Abstract task representations for inference and control
.png){kind=icon}
OA
AI
DOI：10.1016/j.tics.2022.03.009.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Behavioral flexibility depends on our capacity to build and leverage abstract knowledge about tasks. Recently, two separate lines of research have implicated distinct brain networks in representing abstract task information: a frontoparietal cortical network, and a network involving the medial temporal lobe (MTL), medial prefrontal, and orbitofrontal cortex (OMPFC). These observations have mostly been made in parallel, with little attempt to understand their relationship. Here, we hypothesize that abstract task representations in these networks differ primarily in format, not content. Namely, that the MTL-OMPFC network maintains task knowledge in a flexible cognitive map, while the frontoparietal network formats this knowledge as productions that facilitate action selection. We discuss novel implications and predictions for behavioral flexibility arising from this hypothesis.
Keyword:
MEDIAL PREFRONTAL CORTEX
POSTERIOR PARIETAL CORTEX
FRONTAL-LOBE
TEMPORAL-LOBE
ORBITOFRONTAL CORTEX
COGNITIVE MAP
NEURAL REPRESENTATIONS
ACQUIRED EQUIVALENCE
RETROSPLENIAL CORTEX
CONCEPTUAL KNOWLEDGE
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
IF:
17.2
论文数:
3.6K
被引数:
3.5W
机构
引用论文
Transferring structural knowledge across cognitive maps in humans and models.png)
NATURE COMMUNICATIONSOAAI
NATURE COMMUNICATIONSIF15.7
OAAI分享收藏分享收藏
查看更多内容