Hopfield Network with Interneuronal Connections Based on Memristor Bridges

被引:5
作者
Tarkov, Mikhail S. [1 ]
机构
[1] AV Rzhanov Inst Semicond Phys SB RAS, Novosibirsk, Russia
来源
ADVANCES IN NEURAL NETWORKS - ISNN 2016 | 2016年 / 9719卷
关键词
Memristor; Memristance; Bridge; Hopfield network; Weight matrix; LTSPICE;
D O I
10.1007/978-3-319-40663-3_23
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A scheme for the Hopfield associative memory hardware implementation with interneuronal connections through bridges using memristors is proposed. The Hopfield associative memory is realized as a network of coupled phase oscillators. It is shown how to use the CMOS transistor switches to control the memristance (memristor resistance) value.
引用
收藏
页码:196 / 203
页数:8
相关论文
共 18 条
[1]  
[Anonymous], THESIS
[2]  
Biolek Z, 2009, RADIOENGINEERING, V18, P210
[3]   Resistance switching memories are memristors [J].
Chua, Leon .
APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING, 2011, 102 (04) :765-783
[4]   MEMRISTOR - MISSING CIRCUIT ELEMENT [J].
CHUA, LO .
IEEE TRANSACTIONS ON CIRCUIT THEORY, 1971, CT18 (05) :507-+
[5]  
Dorran D., RUNLTSPICE FUNCTION
[6]  
Falatic M., MEMRISTOR SIMULATION
[7]   Nanoscale Memristor Device as Synapse in Neuromorphic Systems [J].
Jo, Sung Hyun ;
Chang, Ting ;
Ebong, Idongesit ;
Bhadviya, Bhavitavya B. ;
Mazumder, Pinaki ;
Lu, Wei .
NANO LETTERS, 2010, 10 (04) :1297-1301
[8]  
Kim H., 2014, MEMRISTOR NETWORKS, P249
[9]  
Lehtonen E., 2012, Memristive computing
[10]   Reconfigurable Neuromorphic Computing System with Memristor-Based Synapse Design [J].
Liu, Beiye ;
Chen, Yiran ;
Wysocki, Bryant ;
Huang, Tingwen .
NEURAL PROCESSING LETTERS, 2015, 41 (02) :159-167