Optimizing the learning rate for adaptive estimation of neural encoding models

标题
Optimizing the learning rate for adaptive estimation of neural encoding models
作者
关键词
Covariance, Algorithms, Convergent evolution, Learning, Signal decoders, Action potentials, Kalman filter, Kinematics
出版物
PLoS Computational Biology
Volume 14, Issue 5, Pages e1006168
出版商
Public Library of Science (PLoS)
发表日期
2018-05-30
DOI
10.1371/journal.pcbi.1006168

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