DocumentCode :
2366620
Title :
Brain-based devices: intelligent systems based on principles of the nervous system
Author :
Krichmar, Jeffrey L. ; Edelman, Gerald M.
Author_Institution :
Neurosciences Inst., San Diego, CA, USA
Volume :
1
fYear :
2003
fDate :
27-31 Oct. 2003
Firstpage :
940
Abstract :
Our group has constructed a series of brain-based devices (BBDs); i.e. physical devices with simulated nervous systems that guide behavior, to serve as a heuristic for understanding brain function. Unlike conventional robots designed by engineering principles, BBDs are based on biological principles and alter their behavior to the environment through self-learning. The resulting systems autonomously generalize signals from the environment into perceptual categories and through adaptive behavior become increasingly successful in coping with the environment. Although the principal focus of developing BBDs has been to test theories of the nervous system, this approach may also provide a basis for robotic design and practical applications.
Keywords :
intelligent robots; mobile robots; neurophysiology; unsupervised learning; adaptive behavior; biological principles; brain-based devices; intelligent systems; nervous system; robotic design; self-learning; Biological system modeling; Brain modeling; Computational modeling; Design engineering; Intelligent robots; Intelligent systems; Large-scale systems; Nervous system; Neurons; Signal design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on
Print_ISBN :
0-7803-7860-1
Type :
conf
DOI :
10.1109/IROS.2003.1250749
Filename :
1250749
Link To Document :
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