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Gerald E. Loeb [5]G. Loeb [1]G. E. Loeb [1]Gerale E. Loeb [1]
  1.  42
    Strategies for the control of studies of voluntary movements with one mechanical degree of freedom.Gerale E. Loeb - 1989 - Behavioral and Brain Sciences 12 (2):227-227.
  2.  8
    Precortical processing of somatosensory information.J. Duysens & G. Loeb - 1978 - Behavioral and Brain Sciences 1 (1):149-150.
  3.  24
    Epistemology and heuristics in neural network research.Gerald E. Loeb & William B. Marks - 1980 - Behavioral and Brain Sciences 3 (4):556-557.
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  4.  16
    Exploring the limits of servo control.G. E. Loeb - 1986 - Behavioral and Brain Sciences 9 (4):613-614.
  5.  20
    Motor partitioning: Epiphenomena masquerading as control theory.Gerald E. Loeb & Frances J. R. Richmond - 1989 - Behavioral and Brain Sciences 12 (4):660-661.
  6.  34
    Prosthetics, Motor Control.Gerald E. Loeb & Ning Lan - 2002 - In Michael A. Arbib (ed.), The Handbook of Brain Theory and Neural Networks, Second Edition. MIT Press.
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  7.  32
    Prosthetics, sensory systems.Gerald E. Loeb & B. S. Wilson - 2002 - In Michael A. Arbib (ed.), The Handbook of Brain Theory and Neural Networks, Second Edition. MIT Press. pp. 926--929.
  8.  31
    What can we expect from models of motor control?Gerald E. Loeb - 1995 - Behavioral and Brain Sciences 18 (4):767-768.
    The lambda model of servocontrol seems superior to the alpha model in terms of dealing with the mechanical complexities of nonlinear and multiarticular muscles. Both, however, can be trivialized by noting that the “control variable” may simply be the sum of descending influences at propriospinal interneurons in the case of the lambda model or in the muscles themselves in the case of the alpha model. The notion that the brain explicitly computes output in terms of any such control variables may (...)
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