Literature DB >> 2049415

Pattern generating and reflex-like processes controlling aiming movements in the presence of inertia, damping and gravity. A theoretical note.

K T Kalveram1.   

Abstract

A model is proposed, in which goal-directed movements of the forearm are controlled by a central pattern generator (CPG) initiated for exactly one period, and by reflex-analogous processes. Movement width is proportional to the amplitude factor of the CPG's output, and to the square of the CPG's period length. The period duration can be freely selected, thus enabling the CPG to accommodate its time scale to the period of others CPG's. Parameters which influence movement accuracy can be adjusted by means of closed control loop, which are discrete with respect to time: The time unit corresponds to the period of the CPG. For instance, momentum adjustment balances the CPG in such a manner that the velocity of the arm becomes zero on termination of the period, while gain adjustment serves to attain a correct movement length in the presence of an inertial load. Friction, stiffness and gravitational force are neutralized by additional reflex-type processes, interpretable as positive feedback loops with adjustable gain factors, using position and velocity signals.

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Year:  1991        PMID: 2049415     DOI: 10.1007/bf00224708

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  8 in total

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Authors:  K T Kalveram
Journal:  Arch Psychol (Frankf)       Date:  1983

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Authors:  D E Meyer; J E Smith; C E Wright
Journal:  Psychol Rev       Date:  1982-09       Impact factor: 8.934

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Authors:  R A Schmidt; H Zelaznik; B Hawkins; J S Frank; J T Quinn
Journal:  Psychol Rev       Date:  1979-09       Impact factor: 8.934

  8 in total
  7 in total

1.  A neural network model rapidly learning gains and gating of reflexes necessary to adapt to an arm's dynamics.

Authors:  K T Kalveram
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

2.  Controlling the dynamics of a two-joined arm by central patterning and reflex-like processing. A two-stage hybrid model.

Authors:  K T Kalveram
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

Review 3.  A neural-network model enabling sensorimotor learning: application to the control of arm movements and some implications for speech-motor control and stuttering.

Authors:  K T Kalveram
Journal:  Psychol Res       Date:  1993

Review 4.  Structural constraints on bimanual movements.

Authors:  H Heuer
Journal:  Psychol Res       Date:  1993

5.  Motor adaptation to different dynamic environments is facilitated by indicative context stimuli.

Authors:  Stefanie Richter; Petra Jansen-Osmann; Jürgen Konczak; Karl-Theodor Kalveram
Journal:  Psychol Res       Date:  2003-06-27

6.  Mechanical Impedance and Its Relations to Motor Control, Limb Dynamics, and Motion Biomechanics.

Authors:  Joseph Mizrahi
Journal:  J Med Biol Eng       Date:  2015-01-27       Impact factor: 1.553

7.  Human-like hopping in machines : Feedback- versus feed-forward-controlled motions.

Authors:  Jonathan Oehlke; Philipp Beckerle; André Seyfarth; Maziar A Sharbafi
Journal:  Biol Cybern       Date:  2018-10-28       Impact factor: 2.086

  7 in total

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