Title :
TOPS information processing on a single chip
Author :
Paasio, Ari ; Kananen, Asko ; Halonen, Kari ; Porr, Veikko
Author_Institution :
Electron. Circuit Design Lab., Helsinki Univ. of Technol., Espoo, Finland
fDate :
5/1/1998 12:00:00 AM
Abstract :
One of the main objectives in CNN design is to have as small a cell size as possible and because there are normally 19 synapses implemented in each cell, we cannot select an architecture that is very area consuming. In our approach we simplify the multiplication procedure without losing the overall input-output mapping. In that way the synapses can be built from very few transistors and the cell layout can be made small. What has been noticed is that when the initial values of the network are bipolar and when the obtained network output is also bipolar, in almost every case we can use a high-gain output nonlinearity to replace the unity gain. Another required modification is to move the whole processing into a positive range
Keywords :
CMOS analogue integrated circuits; analogue processing circuits; cellular neural nets; neural chips; CNN design; TOPS information processing; cell layout; cell size; high-gain output nonlinearity; input-output mapping; multiplication procedure; network output; positive range; synapses; Area measurement; CMOS technology; Cellular neural networks; Density measurement; Information processing; Neurons; Semiconductor device measurement; Silicon; Turing machines; Very large scale integration;
Journal_Title :
Circuits and Devices Magazine, IEEE