VLSI implementation of cellular neural network universal machine

A. Paasio , Adam Dawidziuk , V. Porra

Abstract

In this paper a Cellular Neural Network Universal Machine structure is described. All the 19 coefficients in the 1-neighborhood can be controlled with six bit adjustability. The design has been processed with 0.8 micron CMOS technology. The cell dimensions are 114 times;118 mu;m2 including the global wiring. Both DC measurement and transient simulation results are reported in the paper
Author A. Paasio
A. Paasio,,
-
, Adam Dawidziuk (FEIT / PE)
Adam Dawidziuk,,
- The Institute of Electronic Systems
, V. Porra
V. Porra,,
-
Pages545-548 vol.1
Book , Proceedings of 1997 IEEE International Symposium on Circuits and Systems, 1997. ISCAS '97, vol. 1, 1997
Keywords in English0.8 micron, cellular neural nets, cellular neural network, cellular neural networks, circuit testing, CMOS integrated circuits, CMOS technology, CNN universal machine, electronic circuits, neural chips, Process design, sampling methods, six bit adjustability, switches, Turing machines, Very large scale integration, VLSI, VLSI implementation, voltage control
DOIDOI:10.1109/ISCAS.1997.608804
Score (nominal)1
Citation count*8 (2015-03-03)
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