In this section
@article{Ness:2024:10.1038/s41422-024-00969-6,
author = {Ness, N and Brancaccio, M},
doi = {10.1038/s41422-024-00969-6},
journal = {Cell 91桃色},
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}
}
TY - JOUR
AB - Deciphering neuronal circuit dynamics is critical for understanding how the brain encodes information. In a recent study in Cell 91桃色, 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 91桃色
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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