The fact that force and movement control cannot be completely independent processes in general is suggested by experiments on delayed stiffness [32] that prompted the authors to propose a unifying computational model of stiffness perception based on an active process that combines the concurrent operations of a force and of a position control system.
The computational model for such defects often consists of a localised reduction in the flexural stiffness, which is macroscopically equivalent to a beam where the undamaged parts are hinged at the position of the crack, with a rotational spring taking into account the residual stiffness ("discrete spring" model).
We have developed a computational model for determining the dynamic clamping force of jaw-chucks during high-speed turning that takes into account the influence of the stiffness behaviours of the chuck and workpiece.
Capogrosso, M. et al. A computational model for epidural electrical stimulation of spinal sensorimotor circuits.
Kubilius, J., Bracci, S. & de Beeck, H. P. O. Deep neural networks as a computational model for human shape sensitivity.
Ullman, S. Sequence seeking and counterstreams: a computational model for bidirectional information flow in the visual cortex.
Kubilius, J., Bracci, S. & Op de Beeck, H. P. Deep neural networks as a computational model for human shape sensitivity.
A nonlinear computational model for floating wind turbines.
Computational model for the chemotaxis case study.
Rahman, R. A., Lafon, B. & Bikson, M. Multilevel Computational Models for Predicting the Cellular Effects of Non-Invasive Brain Stimulation.
The computational modelling for Experiment 2 was similar but included the additional factor of the experimental condition (Supplementary Fig. 6).
