A biologically inspired neural network controller for ballistic arm movements

Journal of NeuroEngineering and Rehabilitation

Volumn 4, Issue , 2007, Pages

  Bernabucci, Ivan ^a   Conforto, Silvia ^a   Capozza, Marco ^b   Accornero, Neri ^b   Schmid, Maurizio ^a   D'Alessio, Tommaso ^a  

^a ROMA TRE UNIVERSITY   (Italy)

^b SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ARM; ARM MOVEMENT; ARTICLE; BIOMECHANICS; FEEDBACK SYSTEM; KINEMATICS; LEARNING; NERVE CELL NETWORK; PROSTHESIS; REHABILITATION; ALGORITHM; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BIOMIMETICS; COMPUTER ASSISTED THERAPY; ELECTROSTIMULATION THERAPY; HUMAN; INNERVATION; METHODOLOGY; MOVEMENT (PHYSIOLOGY); MUSCLE CONTRACTION; PHYSIOLOGY; SKELETAL MUSCLE;

ALGORITHMS; ARM; BIOMIMETICS; ELECTRIC STIMULATION THERAPY; FEEDBACK; HUMANS; MOVEMENT; MUSCLE CONTRACTION; MUSCLE, SKELETAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; THERAPY, COMPUTER-ASSISTED;

EID: 35248846017     PISSN: None     EISSN: 17430003     Source Type: Journal    
DOI: 10.1186/1743-0003-4-33     Document Type: Article

References (29)

1. The role of the plant properties in point-to-point arm movements: a robustness study. JD Myers LL Massone, Biological cybernetics 1997 76 3 173 180 10.1007/s004220050330 9151415
2. Adaptive representation of dynamics during learning of a motor task. R Shadmehr FA Mussa-Ivaldi, J Neurosci 1994 14 5 Pt 2 3208 3224 8182467
3. Internal models for motor control and trajectory planning. M Kawato, Current opinion in neurobiology 1999 9 6 718 727 10.1016/S0959-4388(99)00028-8 10607637
4. Forward Models for Physiological Motor Control. DM Wolpert RC Miall, Neural Netw 1996 9 8 1265 1279 10.1016/S0893-6080(96)00035-4 12662535
5. Generalization as a behavioral window to the neural mechanisms of learning internal models. R Shadmehr, Human movement science 2004 23 5 543 568 10.1016/j.humov.2004.04.003 15589621
6. A model of force and impedance in human arm movements. KP Tee E Burdet CM Chew TE Milner, Biological cybernetics 2004 90 5 368 375 10.1007/s00422-004- 0484-4 15221397
7. Optimal feedback control as a theory of motor coordination. E Todorov MI Jordan, Nature neuroscience 2002 5 11 1226 1235 10.1038/nn963 12404008
8. Approximate optimal control as a model for motor learning. NE Berthier MT Rosenstein AG Barto, Psychological review 2005 112 2 329 346 10.1037/0033-295X.112.2.329 15783289
9. A model for learning human reaching movements. A Karniel GF Inbar, Biological cybernetics 1997 77 3 173 183 10.1007/s004220050378 9352631
10. Hierarchical neural network model for voluntary movement withapplication to robotics. M Kawato Y Uno M Isobe R Suzuki, Control Systems Magazine, IEEE 1988 8 2 8 15 10.1109/37.1867
11. Dynamic interactions between limb segments during planar arm movement. MJ Hollerbach T Flash, Biological cybernetics 1982 44 1 67 77 10.1007/BF00353957 7093370
12. Rapid adaptation to Coriolis force perturbations of arm trajectory. JR Lackner P Dizio, Journal of neurophysiology 1994 72 1 299 313 7965013
13. Large adjustments in visually guided reaching do not depend on vision of the hand or perception of target displacement. MA Goodale D Pelisson C Prablanc, Nature 1986 320 6064 748 750 10.1038/320748a0 3703000
14. Spatial control of arm movements. P Morasso, Experimental brain research Experimentelle Hirnforschung 1981 42 2 223 227
15. Human arm trajectory formation. W Abend E Bizzi P Morasso, Brain 1982 105 Pt 2 331 348 10.1093/brain/105.2.331 7082993
16. Signal-dependent noise determines motor planning. CM Harris DM Wolpert, Nature 1998 394 6695 780 784 10.1038/29528 9723616
17. The coordination of arm movements: an experimentally confirmed mathematical model. T Flash N Hogan, J Neurosci 1985 5 7 1688 1703 4020415
18. Formation and control of optimal trajectory in human multijoint arm movement. Minimum torque-change model. Y Uno M Kawato R Suzuki, Biological cybernetics 1989 61 2 89 101 10.1007/BF00204593 2742921
19. A hierarchical neural-network model for control and learning of voluntary movement. M Kawato K Furukawa R Suzuki, Biological cybernetics 1987 57 3 169 185 10.1007/BF00364149 3676355
20. Controllo Motorio: Rete neurale autoapprendente. N Accornero M Capozza, Riv Neurobiol 1996 42 206 207
21. Roles of the elements of the triphasic control signal. B Hannaford L Stark, Experimental neurology 1985 90 3 619 634 10.1016/0014-4886(85)90160-8 4065278
22. Body Segment Parameters; a Survey of Measurement Techniques. R Drillis R Contini M Bluestein, Artificial limbs 1964 25 44 66 14208177
23. The heat of shortening and the dynamic constants of muscle. AV Hill, Proceedings of the Royal Society of London 1938 126 136 195
24. Difference in sensorimotor adaptation to horizontal and vertical mirror distortions during ballistic arm movements. P Caselli S Conforto M Schmid N Accornero T D'Alessio, Human movement science 2006 25 3 310 325 10.1016/j.humov.2005.12.003 16563539
25. Perceptual distortion contributes to the curvature of human reaching movements. DM Wolpert Z Ghahramani MI Jordan, Exp Brain Res 1994 98 1 153 156 10.1007/BF00229120 8013583
26. Kinematic features of unrestrained vertical arm movements. CG Atkeson JM Hollerbach, J Neurosci 1985 5 9 2318 2330 4031998
27. A comparison of curvatures of left and right hand movements in a simple pointing task. JJ Boessenkool EJ Nijhof CJ Erkelens, Experimental brain research Experimentelle Hirnforschung 1998 120 3 369 376 10.1007/s002210050410
28. Comparison of variability of initial kinematics and endpoints of reaching movements. J Messier JF Kalaska, Experimental brain research Experimentelle Hirnforschung 1999 125 2 139 152 10.1007/s002210050669
29. Differential effect of task conditions on errors of direction and extent of reaching movements. J Messier JF Kalaska, Experimental brain research Experimentelle Hirnforschung 1997 115 3 469 478 10.1007/PL00005716