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
Link To Document :
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