Suppr超能文献

新信息触发前瞻性代码以适应灵活导航。

New information triggers prospective codes to adapt for flexible navigation.

作者信息

Prince Stephanie M, Cushing Sarah Danielle, Yassine Teema A, Katragadda Navya, Roberts Tyler C, Singer Annabelle C

机构信息

Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, USA.

出版信息

Nat Commun. 2025 May 24;16(1):4822. doi: 10.1038/s41467-025-60122-8.

Abstract

Navigating a dynamic world requires rapidly updating choices by integrating past experiences with new information. In hippocampus and prefrontal cortex, neural activity representing future goals is theorized to support navigational planning. However, it remains unknown how prospective goal representations incorporate new, pivotal information. Accordingly, we designed a navigation task that precisely introduces new information using virtual reality, and we recorded neural activity as male mice flexibly adapted their planned destinations. Here we show that new information triggered increased hippocampal prospective representations of both possible goals; while in prefrontal cortex, new information caused prospective representations of choices to rapidly shift to the new choice. When mice did not adapt, prefrontal choice codes failed to switch. Prospective codes were dependent on the amount of behavioral adaptation needed; the new goal arm was represented more strongly when animals needed to change their behavior more. Thus, we show how prospective codes update with new information to flexibly adapt ongoing navigational plans.

摘要

在动态的世界中导航需要通过整合过去的经验与新信息来快速更新选择。在海马体和前额叶皮层中,代表未来目标的神经活动被认为有助于导航规划。然而,尚不清楚前瞻性目标表征是如何纳入新的关键信息的。因此,我们设计了一项导航任务,利用虚拟现实精确地引入新信息,并在雄性小鼠灵活调整其计划目的地时记录神经活动。我们在此表明,新信息触发了海马体中对两种可能目标的前瞻性表征增加;而在前额叶皮层中,新信息导致选择的前瞻性表征迅速转向新的选择。当小鼠没有适应时,前额叶的选择编码未能切换。前瞻性编码取决于所需行为适应的程度;当动物需要更多地改变其行为时,新目标臂的表征更强。因此,我们展示了前瞻性编码如何随着新信息更新,以灵活地调整正在进行的导航计划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa6/12102184/7624232069a5/41467_2025_60122_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验