Relaxation oscillator-realized artificial electronic neurons, their responses, and noise

被引:36
作者
Lim, Hyungkwang [1 ,2 ,3 ]
Ahn, Hyung-Woo [1 ]
Kornijcuk, Vladimir [1 ,4 ]
Kim, Guhyun [1 ,2 ,3 ]
Seok, Jun Yeong [1 ,2 ,3 ]
Kim, Inho [1 ]
Hwang, Cheol Seong [2 ,3 ]
Jeong, Doo Seok [1 ]
机构
[1] Korea Inst Sci & Technol, Ctr Elect Mat, 5 Hwarang Ro 14 Gil, Seoul 02792, South Korea
[2] Seoul Natl Univ, Dept Mat Sci & Engn, 1 Gwanak Ro, Seoul 08826, South Korea
[3] Seoul Natl Univ, Interuniv Semicond Res Ctr, 1 Gwanak Ro, Seoul 08826, South Korea
[4] Seoul Natl Univ Sci & Technol, Dept Mat Sci & Engn, Seoul 01811, South Korea
基金
新加坡国家研究基金会;
关键词
SYNAPTIC PLASTICITY; MODEL; DEVICE; NANOIONICS; DESIGN;
D O I
10.1039/c6nr01278g
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
A proof-of-concept relaxation oscillator-based leaky integrate-and-fire (ROLIF) neuron circuit is realized by using an amorphous chalcogenide-based threshold switch and non-ideal operational amplifier (op-amp). The proposed ROLIF neuron offers biologically plausible features such as analog-type encoding, signal amplification, unidirectional synaptic transmission, and Poisson noise. The synaptic transmission between pre-and postsynaptic neurons is achieved through a passive synapse (simple resistor). The synaptic resistor coupled to the non-ideal op-amp realizes excitatory postsynaptic potential (EPSP) evolution that evokes postsynaptic neuron spiking. In an attempt to generalize our proposed model, we theoretically examine ROLIF neuron circuits adopting different non-ideal op-amps having different gains and slew rates. The simulation results indicate the importance of gain in postsynaptic neuron spiking, irrespective of the slew rate (as long as the rate exceeds a particular value), providing the basis for the ROLIF neuron circuit design. Eventually, the behavior of a postsynaptic neuron in connection to multiple presynaptic neurons via synapses is highlighted in terms of EPSP evolution amid simultaneously incident asynchronous presynaptic spikes, which in fact reveals an important role of the random noise in spatial integration.
引用
收藏
页码:9629 / 9640
页数:12
相关论文
共 66 条
[1]   Associative dynamics in a chaotic neural network [J].
Adachi, M ;
Aihara, K .
NEURAL NETWORKS, 1997, 10 (01) :83-98
[2]   A Study on the Scalability of a Selector Device Using Threshold Switching in Pt/GeSe/Pt [J].
Ahn, Hyung-Woo ;
Jeong, Doo Seok ;
Cheong, Byung-ki ;
Kim, Su-dong ;
Shin, Sang-Yeol ;
Lim, Hyungkwang ;
Kim, Donghwan ;
Lee, Suyoun .
ECS SOLID STATE LETTERS, 2013, 2 (09) :N31-N33
[3]   MODEL FOR SLEW-INDUCED DISTORTION IN SINGLE-AMPLIFIER ACTIVE-FILTERS [J].
ALLEN, PE .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, 1978, 25 (08) :565-572
[4]  
[Anonymous], 2002, SPIKING NEURON MODEL
[5]   OXYGEN AND GLUCOSE CONSUMPTION RELATED TO NA+-K+ TRANSPORT IN CANINE BRAIN [J].
ASTRUP, J ;
SORENSEN, PM ;
SORENSEN, HR .
STROKE, 1981, 12 (06) :726-730
[6]   Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges [J].
Azghadi, Mostafa Rahimi ;
Iannella, Nicolangelo ;
Al-Sarawi, Said F. ;
Indiveri, Giacomo ;
Abbott, Derek .
PROCEEDINGS OF THE IEEE, 2014, 102 (05) :717-737
[7]  
Bottou L., 2007, The Tradeoffs of Large Scale Learning. Advances in Neural Information Processing Systems, VVolume 20
[8]   RESPONSES OF NEURONS IN MACAQUE MT TO STOCHASTIC MOTION SIGNALS [J].
BRITTEN, KH ;
SHADLEN, MN ;
NEWSOME, WT ;
MOVSHON, JA .
VISUAL NEUROSCIENCE, 1993, 10 (06) :1157-1169
[9]   Short-Term Memory to Long-Term Memory Transition in a Nanoscale Memristor [J].
Chang, Ting ;
Jo, Sung-Hyun ;
Lu, Wei .
ACS NANO, 2011, 5 (09) :7669-7676
[10]   Synaptic behaviors and modeling of a metal oxide memristive device [J].
Chang, Ting ;
Jo, Sung-Hyun ;
Kim, Kuk-Hwan ;
Sheridan, Patrick ;
Gaba, Siddharth ;
Lu, Wei .
APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING, 2011, 102 (04) :857-863