Network-level time computations in the suprachiasmatic nucleus  

作　　者：Natalie Ness Marco Brancaccio 

机构地区：[1]Department of Brain Science,Imperial College London,London,UK. [2]UK Dementia Research Institute at Imperial College London,London,UK.

出　　处：《Cell Research》2024年第7期471-472,共2页细胞研究（英文版）

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.In recent years,advances in imaging and computational techniques have enabled unprecedented insights into the spatiotemporal dynamics of neuronal circuit activity across the brain,and enabled linking them to behavior and cognitive function.1 The neuronal signatures of memory and temporal processing in the hippocampus and cortex,for example,often involve sequential activation of neuronal assemblies,2 and a modular structure in which specific subgroups of neurons represent different aspects of the task or memory.3 Here,focusing on the suprachiasmatic nucleus(SCN),which orchestrates daily rhythms of physiology and behavior in mammals,Wang et al.4 explore the network-level calcium dynamics that encode circadian time,showing that some general principles of information encoding are maintained across brain regions.

关 键 词：supra maintained LINKING 

分 类 号：Q2[生物学—细胞生物学]