On biological principles of motor control

F. Lacquaniti, M. Carrozzo, Y. P. Ivanenko, M. Zago

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We review some general problems underlying sensorimotor transformations for biological control of limb movements. We present evidence that limb kinematics can be controlled independently of kinetics. Ill-defined inverse transformations from endpoint to joint coordinates are solved by means of kinematic constraints, such as a law of planar inter-segmental co-ordination, or by means of optimization principles. Hybrid feedback/feedforward control schemes are used whenever possible. Finally internal models mapping motor commands onto their sensory consequences and viceversa are used to improve estimates and to learn new tasks.

Original languageEnglish
Title of host publicationInternational IEEE/EMBS Conference on Neural Engineering, NER
PublisherIEEE Computer Society
Pages454-457
Number of pages4
Volume2003-January
ISBN (Print)0780375793
DOIs
Publication statusPublished - 2003
Event1st International IEEE EMBS Conference on Neural Engineering - Capri Island, Italy
Duration: Mar 20 2003Mar 22 2003

Other

Other1st International IEEE EMBS Conference on Neural Engineering
CountryItaly
CityCapri Island
Period3/20/033/22/03

Fingerprint

Kinematics
Feedforward control
Feedback control
Kinetics

Keywords

  • Biological information theory
  • Geometry
  • Kinematics
  • Kinetic theory
  • Knee
  • Motor drives
  • Muscles
  • Nervous system
  • Retina
  • Torque

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

Cite this

Lacquaniti, F., Carrozzo, M., Ivanenko, Y. P., & Zago, M. (2003). On biological principles of motor control. In International IEEE/EMBS Conference on Neural Engineering, NER (Vol. 2003-January, pp. 454-457). [1196859] IEEE Computer Society. https://doi.org/10.1109/CNE.2003.1196859

On biological principles of motor control. / Lacquaniti, F.; Carrozzo, M.; Ivanenko, Y. P.; Zago, M.

International IEEE/EMBS Conference on Neural Engineering, NER. Vol. 2003-January IEEE Computer Society, 2003. p. 454-457 1196859.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lacquaniti, F, Carrozzo, M, Ivanenko, YP & Zago, M 2003, On biological principles of motor control. in International IEEE/EMBS Conference on Neural Engineering, NER. vol. 2003-January, 1196859, IEEE Computer Society, pp. 454-457, 1st International IEEE EMBS Conference on Neural Engineering, Capri Island, Italy, 3/20/03. https://doi.org/10.1109/CNE.2003.1196859
Lacquaniti F, Carrozzo M, Ivanenko YP, Zago M. On biological principles of motor control. In International IEEE/EMBS Conference on Neural Engineering, NER. Vol. 2003-January. IEEE Computer Society. 2003. p. 454-457. 1196859 https://doi.org/10.1109/CNE.2003.1196859
Lacquaniti, F. ; Carrozzo, M. ; Ivanenko, Y. P. ; Zago, M. / On biological principles of motor control. International IEEE/EMBS Conference on Neural Engineering, NER. Vol. 2003-January IEEE Computer Society, 2003. pp. 454-457
@inproceedings{b8665117e8b243678b7070be4d5287e1,
title = "On biological principles of motor control",
abstract = "We review some general problems underlying sensorimotor transformations for biological control of limb movements. We present evidence that limb kinematics can be controlled independently of kinetics. Ill-defined inverse transformations from endpoint to joint coordinates are solved by means of kinematic constraints, such as a law of planar inter-segmental co-ordination, or by means of optimization principles. Hybrid feedback/feedforward control schemes are used whenever possible. Finally internal models mapping motor commands onto their sensory consequences and viceversa are used to improve estimates and to learn new tasks.",
keywords = "Biological information theory, Geometry, Kinematics, Kinetic theory, Knee, Motor drives, Muscles, Nervous system, Retina, Torque",
author = "F. Lacquaniti and M. Carrozzo and Ivanenko, {Y. P.} and M. Zago",
year = "2003",
doi = "10.1109/CNE.2003.1196859",
language = "English",
isbn = "0780375793",
volume = "2003-January",
pages = "454--457",
booktitle = "International IEEE/EMBS Conference on Neural Engineering, NER",
publisher = "IEEE Computer Society",

}

TY - GEN

T1 - On biological principles of motor control

AU - Lacquaniti, F.

AU - Carrozzo, M.

AU - Ivanenko, Y. P.

AU - Zago, M.

PY - 2003

Y1 - 2003

N2 - We review some general problems underlying sensorimotor transformations for biological control of limb movements. We present evidence that limb kinematics can be controlled independently of kinetics. Ill-defined inverse transformations from endpoint to joint coordinates are solved by means of kinematic constraints, such as a law of planar inter-segmental co-ordination, or by means of optimization principles. Hybrid feedback/feedforward control schemes are used whenever possible. Finally internal models mapping motor commands onto their sensory consequences and viceversa are used to improve estimates and to learn new tasks.

AB - We review some general problems underlying sensorimotor transformations for biological control of limb movements. We present evidence that limb kinematics can be controlled independently of kinetics. Ill-defined inverse transformations from endpoint to joint coordinates are solved by means of kinematic constraints, such as a law of planar inter-segmental co-ordination, or by means of optimization principles. Hybrid feedback/feedforward control schemes are used whenever possible. Finally internal models mapping motor commands onto their sensory consequences and viceversa are used to improve estimates and to learn new tasks.

KW - Biological information theory

KW - Geometry

KW - Kinematics

KW - Kinetic theory

KW - Knee

KW - Motor drives

KW - Muscles

KW - Nervous system

KW - Retina

KW - Torque

UR - http://www.scopus.com/inward/record.url?scp=84942583848&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84942583848&partnerID=8YFLogxK

U2 - 10.1109/CNE.2003.1196859

DO - 10.1109/CNE.2003.1196859

M3 - Conference contribution

SN - 0780375793

VL - 2003-January

SP - 454

EP - 457

BT - International IEEE/EMBS Conference on Neural Engineering, NER

PB - IEEE Computer Society

ER -