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