Movement Duration, Fitts's Law, and an Infinite-Horizon Optimal Feedback Control Model for Biological Motor Systems
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Publication:5327186
DOI10.1162/NECO_A_00410zbMath1269.92003DBLPjournals/neco/QianJJM13OpenAlexW2004819320WikidataQ42721578 ScholiaQ42721578MaRDI QIDQ5327186
Ning Qian, Pietro Mazzoni, Yu Jiang, Zhong-Ping Jiang
Publication date: 7 August 2013
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1162/neco_a_00410
Feedback control (93B52) Applications of optimal control and differential games (49N90) General biology and biomathematics (92B05)
Related Items (6)
Human motor learning is robust to control-dependent noise ⋮ A feedback information-theoretic transmission scheme (FITTS) for modeling trajectory variability in aimed movements ⋮ Model-Free Robust Optimal Feedback Mechanisms of Biological Motor Control ⋮ A Single, Continuously Applied Control Policy for Modeling Reaching Movements with and without Perturbation ⋮ Adaptive dynamic programming as a theory of sensorimotor control ⋮ A robust adaptive dynamic programming principle for sensorimotor control with signal-dependent noise
Cites Work
- Avoiding spurious submovement decompositions: a globally optimal algorithm
- Approximation by exponential sums revisited
- The main sequence of saccades optimizes speed-accuracy trade-off
- Parabolic movement primitives and cortical states: merging optimality with geometric invari\-ance
- Controller design of systems with multiplicative noise
- Stochastic Optimal Control and Estimation Methods Adapted to the Noise Characteristics of the Sensorimotor System
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