DocumentCode :
1798078
Title :
Majority neuron circuit having large fan-in with non-volatile synaptic weight
Author :
Akima, H. ; Katayama, Yasunao ; Nakajima, Kensuke ; Sakuraba, Masao ; Sato, Seiki
Author_Institution :
Res. Inst. of Electr. Commun., Tohoku Univ., Sendai, Japan
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
4266
Lastpage :
4271
Abstract :
We present a design of a majority neuron circuit with non-volatile synaptic weights. It is based on an analog majority circuit composed of controlled current inverters (CCIs). The proposed circuit is immune to device parameter fluctuations, and its fan-in is estimated about 1000. Synaptic weights are realized on the neuron circuit by adding variable resistors. We consider a design of a non-volatile synaptic weight by using a three-terminal magnetic domain-wall motion (DWM) device. The operation of a fully connected recurrent neural network composed of the proposed circuits has been confirmed by SPICE simulation.
Keywords :
recurrent neural nets; resistors; DWM device; SPICE simulation; analog majority circuit; controlled current inverters; fan-in; fully connected recurrent neural network; majority neuron circuit; nonvolatile synaptic weights; three-terminal magnetic domain-wall motion; variable resistors; Artificial neural networks; Inverters; MOSFET; Magnetic tunneling; Neurons; Resistors; Threshold voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6627-1
Type :
conf
DOI :
10.1109/IJCNN.2014.6889766
Filename :
6889766
Link To Document :
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