Abstract: This article addresses the issue of online state estimation when the covariances of the process and measurement noise (PMN) are unknown. In practical scenarios, inaccurate PMN covariances ...
Abstract: In this paper, a variational Bayesian framework for simultaneous input and state estimation (VBSISE) is proposed. In VBSISE, probability density functions (PDFs) are assigned to inputs, with ...
The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...
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