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Patterns (New York, N.Y.)|June 27, 2022
Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networksGuobin Shen, Dongcheng Zhao, Yi Zeng
Patterns (New York, N.Y.)|June 27, 2022
Multi-input convolutional network for ultrafast simulation of field evolvementZhuo Wang, Wenhua Yang, Linyan Xiang, et al.
Patterns (New York, N.Y.)|June 27, 2022
Unraveling the morphological complexity of two-dimensional macromoleculesYingjie Zhao, Jianshu Qin, Shijun Wang, et al.
Patterns (New York, N.Y.)|June 20, 2022
Diet during the COVID-19 pandemic: An analysis of Twitter dataMark A Hernandez, Shagun Modi, Kanisha Mittal, et al.
Patterns (New York, N.Y.)|May 5, 2022
A guide to backward paper writing for the data sciencesJon Zelner, Kelly Broen, Ella August
Patterns (New York, N.Y.)|May 5, 2022
Privacy-preserving local analysis of digital trace data: A proof-of-conceptLaura Boeschoten, Adriënne Mendrik, Emiel van der Veen, et al.
Patterns (New York, N.Y.)|May 5, 2022
Representing the dynamics of high-dimensional data with non-redundant waveletsShanshan Jia, Xingyi Li, Tiejun Huang, et al.
Patterns (New York, N.Y.)|July 12, 2022
Efficient compression of SARS-CoV-2 genome data using Nucleotide Archival FormatKirill Kryukov, Lihua Jin, So Nakagawa
Patterns (New York, N.Y.)|March 4, 2021
An interpretable deep-learning model for early prediction of sepsis in the emergency departmentDongdong Zhang, Changchang Yin, Katherine M Hunold, et al.
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