DocumentCode :
883451
Title :
Neuron MOS binary-logic integrated circuits. II. Simplifying techniques of circuit configuration and their practical applications
Author :
Shibata, Tadashi ; Ohmi, Tadahiro
Author_Institution :
Dept. of Electron. Eng., Tohoku Univ., Sendai, Japan
Volume :
40
Issue :
5
fYear :
1993
fDate :
5/1/1993 12:00:00 AM
Firstpage :
974
Lastpage :
979
Abstract :
For pt.I see ibid., vol.40, no.3, p.570-6 (March 1993). The fundamental circuit ideas developed by the authors in Part I are applied to practical circuits, and the impact of neuron MOSFET on the implementation of binary-logic circuits is examined. For this purpose, two techniques are presented to simplify the circuit configurations. It is shown that the input-stage D/A converter circuit in the basic configuration can be eliminated without any major problems, resulting in improved noise margins and speed performance. Then a design technique for symmetric functions, which is especially important when the number of input variables increases, is presented. The νMOS logic design is characterized by a large reduction in the number of transistors as well as of interconnections. However, the decrease in transistor count comes at a cost in process tolerance due to the multivalued nature of the device operation. Test circuits were fabricated by a typical double-polysilicon CMOS process, and the measurement results are presented
Keywords :
CMOS integrated circuits; MOS integrated circuits; integrated logic circuits; logic design; many-valued logics; neural chips; νMOS logic design; circuit configuration; double-polysilicon CMOS process; input-stage D/A converter circuit; neuron MOS binary logic ICs; neuron MOSFET; noise margins; speed performance; symmetric function design; Adders; Circuit noise; Circuit testing; Input variables; Integrated circuit interconnections; Inverters; Logic circuits; Logic design; MOSFET circuits; Neurons;
fLanguage :
English
Journal_Title :
Electron Devices, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9383
Type :
jour
DOI :
10.1109/16.210207
Filename :
210207
Link To Document :
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