DocumentCode
1607226
Title
CNN chip set architectures and the visual mouse
Author
Roska, Tamás
Author_Institution
Electron. Res. Lab., California Univ., Berkeley, CA, USA
fYear
1996
Firstpage
487
Lastpage
492
Abstract
The cellular neural network (CNN) Universal Machine architecture when implemented in VLSI chips needs special interfaces to provide for efficient system performance both in time (speed) and space (image size). The CNN chip set architectures described solve this problem, including interfacing the possibly analog input sensors and digital output and control. Various forms of CNN Engines are presented embedding CNN chip sets. A new device, the Visual Mouse, a hand held visual supercomputer, is also presented which exploits the genuine features of CNN Engines
Keywords
VLSI; analogue-digital conversion; cellular neural nets; mouse controllers (computers); neural chips; neural net architecture; peripheral interfaces; CNN Universal Machine; VLSI chips; Visual Mouse; cellular neural network; interfacing; neural chip set architectures; visual supercomputer; Buffer storage; Cellular neural networks; Computer architecture; Computer interfaces; Engines; Laboratories; Mice; Microprocessors; Spatiotemporal phenomena; Turing machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on
Conference_Location
Seville
Print_ISBN
0-7803-3261-X
Type
conf
DOI
10.1109/CNNA.1996.566623
Filename
566623
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