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Network-level time computations in the suprachiasmatic nucleus
Cell Research ( IF 28.1 ) Pub Date : 2024-05-08 , DOI: 10.1038/s41422-024-00969-6 Natalie Ness 1, 2 , Marco Brancaccio 1, 2
中文翻译:
视交叉上核的网络级时间计算
更新日期:2024-05-08
Cell Research ( IF 28.1 ) Pub Date : 2024-05-08 , DOI: 10.1038/s41422-024-00969-6 Natalie Ness 1, 2 , Marco Brancaccio 1, 2
Affiliation
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.
中文翻译:
视交叉上核的网络级时间计算
破译神经元回路动力学对于理解大脑如何编码信息至关重要。在《细胞研究》最近的一项研究中,王等人。揭示了神经元集合活动如何编码视交叉上核中的时间,并展示了机器学习解码复杂神经过程的变革潜力。