DocumentCode
2437205
Title
Control system analysis of the leech neural control system
Author
Shaffer, Keith ; Zaghloul, M.E.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA
Volume
4
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
2276
Abstract
Presents our approach and achievements toward addressing the limitations of neural networks in control systems. We show that by modeling the neural control system of the leech, using control system techniques, we are able mitigate current limitations and develop neural network paradigms specifically for control systems. We begin by presenting an overview of the leech neural control system which we modeled. We then show that techniques from large-scale control systems provide insight into the architecture and parameters of the leech neural control system. These insights establish a basis for the development of neural control paradigms
Keywords
biocontrol; control system analysis; neurocontrollers; neurophysiology; physiological models; control system analysis; control system parameters; large-scale control systems; leech neural control system; neural architecture; neural network paradigms; Biological control systems; Biological neural networks; Control system analysis; Control system synthesis; Control systems; Medical control systems; Nervous system; Neural networks; Neurons; Shape control;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374573
Filename
374573
Link To Document