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Control of Arm Movement Using Population of Neurons Zoran Nenadic
 

Summary: Control of Arm Movement Using Population of Neurons
Zoran Nenadic
, Charles H. Anderson
and Bijoy Ghosh

Department of Systems Science and Mathematics
Department of Anatomy & Neurobiology
Washington University Washington University
Saint Louis, MO 63130 Saint Louis, MO 63130
zoran@zach.wustl.edu cha@shifter.wustl.edu
ghosh@zach.wustl.edu
Abstract
Movements of human arm in a horizontal plane are very stereotyped in the sense that
the corresponding paths are mainly straight lines and the velocity profiles are "bell-shaped
like" functions. A dynamics of two link model of the human arm has been studied with the
goal of synthesizing the torques which accomplish the desired transfer. For that purpose
a set of parameters which describes the desired transition (initial position, final position,
peak velocity, etc.) is chosen randomly according to a certain distribution. The parameters
of the desired trajectory as well as the system variables (angles and angular velocities) are
encoded using populations of different number of neurons, usually 100 - 150. The underly-

  

Source: Anderson, Charles H. - Departments of Anatomy and Neurobiology & Physics, Washington University in St. Louis

 

Collections: Computer Technologies and Information Sciences; Biology and Medicine