What can we expect from models of motor control?

Behavioral and Brain Sciences 18 (4):767-768 (1995)
  Copy   BIBTEX

Abstract

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 be an engineering metaphor, useful for conceptual understanding but not for generating predictive hypotheses about higher motor circuitry.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,928

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Kinematic models cannot provide insight into motor control.Arnold B. Mitnitski - 1997 - Behavioral and Brain Sciences 20 (2):318-319.
In search of control variables: A systems approach.G. J. Dalenoort - 1997 - Behavioral and Brain Sciences 20 (4):772-772.
Computational motor planning and the theory of event coding.David A. Rosenbaum - 2001 - Behavioral and Brain Sciences 24 (5):902-903.
Models of the cerebellum and motor learning.James C. Houk, Jay T. Buckingham & Andrew G. Barto - 1996 - Behavioral and Brain Sciences 19 (3):368-383.
Control Consciousness.Pete Mandik - 2010 - Topics in Cognitive Science 2 (4):643-657.

Analytics

Added to PP
2014-01-20

Downloads
19 (#799,653)

6 months
10 (#268,500)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations