DocumentCode
2724861
Title
Reaction-diffusion CNN design for a new class of biologically-inspired processors in artificial locomotion applications
Author
Branciforte, M. ; Di Bernardo, G. ; Doddo, F. ; Occhipinti, L.
Author_Institution
STMicroelectron., Catania, Italy
fYear
1999
fDate
1999
Firstpage
69
Lastpage
76
Abstract
The problem of artificial locomotion is known to represent a difficult task when coping with multiactuated systems controlled by one (central) or more (distributed) digital processors. Nevertheless, the studies carried out from biologists revealed that the underlying mechanism in natural locomotion can be revisited in terms of complex dynamic phenomena such as the generation and propagation of autowaves in active media. The paper describes the work carried out in the laboratories of STMicroelectronics with the aim of generating, “on-the-silicon”, the same dynamics found in nature. It will be shown how a 2-layer CNN architecture, so-called Reaction-Diffusion CNN (RD-CNN), can be effective in this task, and how it can be programmed and reconfigured to reproduce a variety of complex phenomena
Keywords
VLSI; cellular neural nets; microrobots; mobile robots; neural chips; nonlinear differential equations; partial differential equations; STMicroelectronics; active media; artificial locomotion applications; autowaves; biologically-inspired processors; complex dynamic phenomena; multiactuated systems; reaction-diffusion CNN design; two-layer CNN architecture; Animals; Cellular neural networks; Centralized control; Control systems; Extraterrestrial phenomena; Lab-on-a-chip; Laboratories; Neurons; Partial differential equations; Spatiotemporal phenomena;
fLanguage
English
Publisher
ieee
Conference_Titel
Microelectronics for Neural, Fuzzy and Bio-Inspired Systems, 1999. MicroNeuro '99. Proceedings of the Seventh International Conference on
Conference_Location
Granada
Print_ISBN
0-7695-0043-9
Type
conf
DOI
10.1109/MN.1999.758848
Filename
758848
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