Adaptive unscented Kalman filter for neuronal state and parameter estimation

Loïc J. Azzalini; David Crompton; G.M.T. D’Eleuterio; Frances K. Skinner; Milad Lankarany

doi:10.1007/s10827-023-00845-z

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Adaptive unscented Kalman filter for neuronal state and parameter estimation

Loïc J. Azzalini David Crompton G.M.T. D’Eleuterio Frances K. Skinner Milad Lankarany

Year: 2023 Journal: Journal of Computational Neuroscience Vol: 51 (2)Pages: 223-237 Publisher: Springer Science+Business Media

DOI: 10.1007/s10827-023-00845-z

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Keywords:

Kalman filter Ensemble Kalman filter Computer science Extended Kalman filter Control theory (sociology) Invariant extended Kalman filter Robustness (evolution) Unscented transform Alpha beta filter Adaptive filter Fast Kalman filter Kernel adaptive filter Residual Benchmark (surveying) Covariance Filter (signal processing) Algorithm Mathematics Filter design Artificial intelligence Moving horizon estimation Statistics Computer vision

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Neural dynamics and brain function

Life Sciences → Neuroscience → Cognitive Neuroscience

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Adaptive unscented Kalman filter for neuronal state and parameter estimation

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