Neural computations underlying the exertion of force: A model

DOI10.1007/BF00206713zbMath0845.92005OpenAlexW2026155244WikidataQ71963957 ScholiaQ71963957MaRDI QIDQ1914992

A. V. Lukashin, B. R. Amirikian, Apostolos P. Georgopoulos

Publication date: 18 September 1996

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

Full work available at URL: https://doi.org/10.1007/bf00206713

zbMATH Keywords

force fieldsstiffnesshuman armmonkeythree-layered neural networkspinal cordmotor cortical activityfrog's spinal cordsupraspinal neuronal signals codingtwo-joint-six-muscle model

Mathematics Subject Classification ID

Neural biology (92C20) Biophysics (92C05)

Cites Work

• The mechanics of multi-joint posture and movement control
• The control of hand equilibrium trajectories in multi-joint arm movements
• A mathematical analysis of the force-stiffness characteristics of muscles in control of a single joint system
• Vector field approximation: A computational paradigm for motor control and learning
• Virtual trajectory and stiffness ellipse during multijoint arm movement predicted by neural inverse models
• The reaching task: Evidence for vector arithmetic in the motor system?
• Human hand impedance characteristics during maintained posture

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