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Autor:
Liu, Yueyang, Soto-Breceda, Artemio, Zhao, Yun, Karoly, Phillipa, Cook, Mark J., Grayden, David B., Schmidt, Daniel, Kuhlmann1, Levin
Objective Kalman filtering has previously been applied to track neural model states and parameters, particularly at the scale relevant to EEG. However, this approach lacks a reliable method to determine the initial filter conditions and assumes that
Externí odkaz:
http://arxiv.org/abs/2301.08391