Citation

BibTex format

@article{Ness:2024:10.1038/s41422-024-00969-6,
author = {Ness, N and Brancaccio, M},
doi = {10.1038/s41422-024-00969-6},
journal = {Cell Research},
pages = {471--472},
title = {Network-level time computations in the suprachiasmatic nucleus},
url = {http://dx.doi.org/10.1038/s41422-024-00969-6},
volume = {34},
year = {2024}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Ness,N
AU  - Brancaccio,M
DO  - 10.1038/s41422-024-00969-6
EP  - 472
PY  - 2024///
SN  - 1001-0602
SP  - 471
TI  - Network-level time computations in the suprachiasmatic nucleus
T2  - Cell Research
UR  - http://dx.doi.org/10.1038/s41422-024-00969-6
UR  - https://www.nature.com/articles/s41422-024-00969-6
VL  - 34
ER  -
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