Understanding sensorimotor feedback through optimal control.

@article{Loeb1990UnderstandingSF,
  title={Understanding sensorimotor feedback through optimal control.},
  author={Gerald E. Loeb and William S. Levine and J He},
  journal={Cold Spring Harbor symposia on quantitative biology},
  year={1990},
  volume={55},
  pages={
          791-803
        }
}
The general problem of "control" may be divided into two main categories, often designated open-loop and closed-loop (see Fig. 1). We adopt here the convention of using "controller" to designate a device that formulates a set of commands intended to change the state of a system, which commands are executed openloop, i.e., without modification during the task. (We emphasize that this is a shorthand terminology, not to be confused with the standard usage in control theory denoting both openand… 

Figures from this paper

Optimal Feedback Control for Modeling Human-Computer Interaction
TLDR
It is concluded that OFC presents a powerful framework for HCI to understand and simulate motion of the human body and of the interface on a moment by moment basis.
Optimal feedback control as a theory of motor coordination
TLDR
This work shows that the optimal strategy in the face of uncertainty is to allow variability in redundant (task-irrelevant) dimensions, and proposes an alternative theory based on stochastic optimal feedback control, which emerges naturally from this framework.
Theory and Implementation of Biomimetic Motor Controllers
TLDR
In the experiments detailed here, progressively more difficult Optimal Control problems are solved, and in the process, the central themes which emerge are the power of local control strategies, and the importance of modeling dynamical stochasticity.
Generalization in Adaptation to Stable and Unstable Dynamics
TLDR
A computational model for human learning and generalization is introduced, which specifies how to learn feedforward muscle activity in a function of the state space and is able to adapt to both stable and unstable dynamics.
Stochastic Optimal Control and Estimation Methods Adapted to the Noise Characteristics of the Sensorimotor System
TLDR
Under this extended noise model, a coordinate-descent algorithm guaranteed to converge to a feedback control law and a nonadaptive linear estimator optimal with respect to each other is derived.
Optimality principles in sensorimotor control
TLDR
This work has redefined optimality in terms of feedback control laws, and focused on the mechanisms that generate behavior online, allowing researchers to fit previously unrelated concepts and observations into what may become a unified theoretical framework for interpreting motor function.
An optimal control model for analyzing human postural balance
  • A. Kuo
  • Engineering
    IEEE Transactions on Biomedical Engineering
  • 1995
TLDR
A human sensorimotor control model, compatible with previous work by others, was assembled that incorporates linearized equations and full-state feedback with provision for state estimation, and produces a control that reasonably matches experimental data.
A hierarchical foundation for models of sensorimotor control
TLDR
A general hierarchical approach to modeling sensorimotor systems is suggested, which better reflects the real control problem faced by the brain, as a first step toward identifying the actual neurocomputational steps and their anatomical partitioning in the brain.
Evidence for the Flexible Sensorimotor Strategies Predicted by Optimal Feedback Control
TLDR
The predicted sensitivity to task goals affords natural explanations to a number of novel psychophysical findings, and the results suggest that the remarkable flexibility of motor behavior arises from sensorimotor control laws optimized for composite cost functions.
From task parameters to motor synergies: A hierarchical framework for approximately optimal control of redundant manipulators
TLDR
A hierarchical framework for approximately optimal control of redundant manipulators is presented, designed to yield input-output behavior that captures the task-relevant aspects of plant dynamics but has reduced dimensionality.
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 73 REFERENCES
Finding common groud between robotics and physiology
  • G. Loeb
  • Biology
    Trends in Neurosciences
  • 1983
Feedback gains for correcting small perturbations to standing posture
TLDR
The linear quadratic regulator is proposed as a model for the structure of the feedback controller for regulation of small perturbations and shown that a strategy of regulating all the states leads to controllers that best mimic the externally measured behavior of real cats.
Posture control and trajectory formation during arm movement
TLDR
The hypothesis that a desired joint position is determined by the ratio of the tensions of agonist and antagonist muscles is tested and it is concluded that the processes underlying trajectory formation must be more complex than a simple switch between one equilibrium position and another.
Studies of human locomotion via optimal programming
Motor systems, with specific reference to the control of locomotion.
  • P. Stein
  • Biology
    Annual review of neuroscience
  • 1978
TLDR
This review will discuss how principles from theoretical principles arising from studies of the properties of interneurons within the CNS apply to locomotion and will suggest that they may also serve as useful working hypotheses in the study of other motor systems.
A comprehensive model for human motion simulation and its application to the take-off phase of the long jump.
  • H. Hatze
  • Engineering
    Journal of biomechanics
  • 1981
Spinal cord circuits: are they mirrors of musculoskeletal mechanics?
TLDR
A mathematical model of the cat hind limb is developed that permits the influence of individual muscles on posture and gait and linear quadratic control theory is used to predict the optimal distribution of feedback from a hypothetical set of proprioceptors, given different assumptions about the behavioral goals of the animal.
State-space solutions to standard H/sub 2/ and H/sub infinity / control problems
Simple state-space formulas are derived for all controllers solving the following standard H/sub infinity / problem: For a given number gamma >0, find all controllers such that the H/sub infinity /…
Mechanical properties of muscles: Implications for motor control
Regulation of stiffness by skeletomotor reflexes.
  • J. Houk
  • Biology
    Annual review of physiology
  • 1979
TLDR
This article reviews recent evidence indicating that the dominant opinion that stretch and unloading reflexes function to control the length of a muscle in opposition to changes in mechanical load is wrong and develops an alternative idea that neither muscle length nor force are regulated as individual vari­ ables, but that a property called stiffness is maintained relatively constant by skeletomotor reflexes.
...
1
2
3
4
5
...