Network-level time computations in the suprachiasmatic nucleus

被引：0

作者：

Ness, Natalie ^{[1
,2
]}

Brancaccio, Marco ^{[1
,2
]}

机构：

[1] Imperial Coll London, Dept Brain Sci, London, England

[2] Imperial Coll London, UK Dementia Res Inst, London, England

来源：

CELL RESEARCH | 2024年 / 34卷 / 07期

基金：

英国医学研究理事会;

关键词：

D O I：

10.1038/s41422-024-00969-6

中图分类号：

Q2 [细胞生物学];

学科分类号：

071009 ; 090102 ;

摘要：

Deciphering neuronal circuit dynamics is critical for understanding how the brain encodes information. In a recent study in Cell Research, Wang et al. shed light on how neuronal ensemble activity encodes time in the suprachiasmatic nucleus, and demonstrate the transformative potential of machine learning to decode complex neural processes.

引用

页码：471 / 472

页数：2

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