Title
A single 1.5-V digital chip for a 106 synapse neural network
Abstract
A digital-chip architecture for a 106-synapse neural network is proposed. It runs on a 1.5-V dry cell to allow its use in portable equipment. An on-chip DRAM cell array stores synapse weights digitally to provide easy programmability and automatic refreshing. A pitch-matched interconnection and a combinational unit circuit for summing product allow a tight layout. A dynamic data transfer circuit and the 1.5-V operation of the entire chip reduce the power dissipation, but the parallel processing nonetheless provides high speed at the 1.5-V supply. Estimated power dissipation of 75 mW and a processing speed of 1.37 giga connections per second are predicted for the chip. The memory and the processing circuits can be integrated on a 15.4-mm×18.6-mm chip by using a 0.5-μm CMOS design rule. A scaled-down version of the chip that has an 8-kb DRAM cell array was fabricated, and its operation was confirmed
Year
DOI
Venue
1993
10.1109/72.217179
IEEE Transactions on Neural Networks
Keywords
DocType
Volume
neural network,combinational unit circuit,parallel processing,CMOS integrated circuits,synapse weights,power dissipation,106-synapse,1.5 v,CMOS design rule,interconnection,dynamic data transfer circuit,75 mW,DRAM chips,summing product,single-chip architecture,data transfer circuit,programmability,automatic refreshing,digital-chip architecture,pitch-matched interconnection,VLSI,0.5 micron,on-chip DRAM cell array,portable equipment,neural chips
Journal
4
Issue
ISSN
Citations 
3
1045-9227
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
T. Watanabe125251.28
Kimura, Katsutaka200.34
Aoki, M.300.68
Sakata, T.4184.26