Memristive Imitation of Synaptic Transmission and Plasticity

被引：54
|
作者：
Mannan, Zubaer Ibna [1 ]
Adhikari, Shyam Prasad [1 ,2 ]
Yang, Changju [1 ,2 ]
Budhathoki, Ram Kaji [3 ]
Kim, Hyongsuk [1 ,2 ]
Chua, Leon [4 ]
机构：
[1] Chonbuk Natl Univ, Div Elect & Informat Engn, Jeonju 56754896, South Korea
[2] Chonbuk Natl Univ, Intelligent Robot Res Ctr, Jeonju 56754896, South Korea
[3] Kathmandu Univ, Sch Engn, Dept Elect & Elect Engn, Dhulikhel 45200, Nepal
[4] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2019年 / 30卷 / 11期
基金：
新加坡国家研究基金会;
关键词：
Neurotransmitters; Synapses; Neurons; Chemicals; Ions; Memristors; Action potential (AP); artificial synapse; chemical synaptic transmission; long-term potentiation (LTP); memristive system; memristor; short-term facilitation (STF); synaptic plasticity; SYNAPSES; EMULATOR; CIRCUIT; NETWORK;
D O I：
10.1109/TNNLS.2019.2892385
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a memristive artificial neural circuit imitating the excitatory chemical synaptic transmission of biological synapse is designed. The proposed memristor-based neural circuit exhibits synaptic plasticity, one of the important neurochemical foundations for learning and memory, which is demonstrated via the efficient imitation of short-term facilitation and long-term potentiation. Moreover, the memristive artificial circuit also mimics the distinct biological attributes of strong stimulation and deficient synthesis of neurotransmitters. The proposed artificial neural model is designed in SPICE, and the biological functionalities are demonstrated via various simulations. The simulation results obtained with the proposed artificial synapse are similar to the biological features of chemical synaptic transmission and synaptic plasticity.
引用
收藏
页码：3458 / 3470
页数：13
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