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 ...
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 ...
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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