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Kalman filter

How Does Our Motor System Determine Its Learning Rate?

Robert J. van Beers

A Bayesian Interpretation of the Particle Swarm Optimization and Its Kernel Extension

Peter Andras

Accounting for Location Error in Kalman Filters: Integrating Animal Borne Sensor Data into Assimilation Schemes

Aritra Sengupta, Scott D. Foster, Toby A. Patterson, Mark Bravington

Estimation of Activity Related Energy Expenditure and Resting Metabolic Rate in Freely Moving Mice from Indirect Calorimetry Data

Jan Bert Van Klinken, Sjoerd A. A. van den Berg, Louis M. Havekes, Ko Willems Van Dijk

Adaptive Models for Gene Networks

Yong-Jun Shin, Ali H. Sayed, Xiling Shen

Linear Control Theory for Gene Network Modeling

Yong-Jun Shin, Leonidas Bleris

Real-Time Decision Fusion for Multimodal Neural Prosthetic Devices

James Robert White, Todd Levy, William Bishop, James D. Beaty

Unscented Kalman Filter for Brain-Machine Interfaces

Zheng Li, Joseph E. O'Doherty, [ ... ], Miguel A. L. Nicolelis

Motor Learning Characterized by Changing Lévy Distributions

Tyler Cluff, Ramesh Balasubramaniam

Extended Kalman Filter for Estimation of Parameters in Nonlinear State-Space Models of Biochemical Networks

Xiaodian Sun, Li Jin, Momiao Xiong

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