Computational model of motor learning and perceptual change

DOI10.1007/s00422-013-0565-3zbMath1294.92008OpenAlexW2150499869WikidataQ50725132 ScholiaQ50725132MaRDI QIDQ740622

Mohammad Darainy, Satoshi Ito, Minoru Sasaki, David J. Ostry

Publication date: 4 September 2014

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00422-013-0565-3

zbMATH Keywords

computational modelforce fieldmotor learningreaching movementsomatosensory perceptual change

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20)

Cites Work

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• Regularity in an environment produces an internal torque pattern for biped balance control
• The control of hand equilibrium trajectories in multi-joint arm movements
• Computational nature of human adaptive control during learning of reaching movements in force fields
• Virtual trajectory and stiffness ellipse during multijoint arm movement predicted by neural inverse models
• Human hand impedance characteristics during maintained posture
• Concurrent adaptation of force and impedance in the redundant muscle system

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