DocumentCode :
2831650
Title :
Temporal models for neural nets for integrated circuit implementations
Author :
Salam, Fathi M A
Author_Institution :
Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
fYear :
1991
fDate :
11-14 Jun 1991
Abstract :
Summary form only given. The possibility of proposing models that have temporal characteristics with a view toward electronic circuit implementation is investigated. Similar to the Hodgkin-Huxley membrane model, a model using Josephson junction circuits can be developed. The advantage of the Josephson junction model lies in its high speed and low power dissipation properties. In addition, such a model would have rich temporal dynamical behavior and is suitable for large scale implementation
Keywords :
Josephson effect; neural nets; superconducting integrated circuits; Josephson junction circuits; integrated circuit implementations; large scale implementation; neural nets; power dissipation; speed; temporal characteristics; temporal dynamical behavior; Artificial neural networks; Biological neural networks; Biological system modeling; Biomembranes; High temperature superconductors; Integrated circuit modeling; Josephson junctions; Neural networks; Power system modeling; Semiconductor device modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN :
0-7803-0050-5
Type :
conf
DOI :
10.1109/ISCAS.1991.176648
Filename :
176648
Link To Document :
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