Electrolyte-gated transistors for synaptic electronics, neuromorphic computing, and adaptable biointerfacing

被引:215
作者
Ling, Haifeng [1 ,2 ,3 ]
Koutsouras, Dimitrios A. [3 ]
Kazemzadeh, Setareh [4 ]
van de Burgt, Yoeri [4 ]
Yan, Feng [2 ]
Gkoupidenis, Paschalis [3 ]
机构
[1] Nanjing Univ Posts & Telecommun, IAM, Nanjing 210023, Peoples R China
[2] Hong Kong Polytech Univ, Dept Appl Phys, Hong Kong, Peoples R China
[3] Max Planck Inst Polymer Res, Dept Mol Elect, D-55128 Mainz, Germany
[4] Eindhoven Univ Technol, Microsyst, Inst Complex Mol Syst, NL-5612 AJ Eindhoven, Netherlands
基金
中国国家自然科学基金; 欧洲研究理事会; 欧盟地平线“2020”;
关键词
LONG-TERM POTENTIATION; THIN-FILM TRANSISTORS; TIMING-DEPENDENT PLASTICITY; DOUBLE-LAYER TRANSISTORS; IZO-BASED TRANSISTORS; NEURAL-NETWORKS; ORIENTATION SELECTIVITY; MEMRISTIVE DEVICES; SYNAPSES; MEMORY;
D O I
10.1063/1.5122249
中图分类号
O59 [应用物理学];
学科分类号
摘要
Functional emulation of biological synapses using electronic devices is regarded as the first step toward neuromorphic engineering and artificial neural networks (ANNs). Electrolyte-gated transistors (EGTs) are mixed ionic-electronic conductivity devices capable of efficient gate-channel capacitance coupling, biocompatibility, and flexible architectures. Electrolyte gating offers significant advantages for the realization of neuromorphic devices/architectures, including ultralow-voltage operation and the ability to form parallel-interconnected networks with minimal hardwired connectivity. In this review, the most recent developments in EGT-based electronics are introduced with their synaptic behaviors and detailed mechanisms, including short-/long-term plasticity, global regulation phenomena, lateral coupling between device terminals, and spatiotemporal correlated functions. Analog memory phenomena allow for the implementation of perceptron-based ANNs. Due to their mixed-conductivity phenomena, neuromorphic circuits based on EGTs allow for facile interfacing with biological environments. We also discuss the future challenges in implementing low power, high speed, and reliable neuromorphic computing for large-scale ANNs with these neuromorphic devices. The advancement of neuromorphic devices that rely on EGTs highlights the importance of this field for neuromorphic computing and for novel healthcare technologies in the form of adaptable or trainable biointerfacing.
引用
收藏
页数:22
相关论文
共 214 条
[1]   Synaptic plasticity: taming the beast [J].
Abbott, L. F. ;
Nelson, Sacha B. .
NATURE NEUROSCIENCE, 2000, 3 (11) :1178-1183
[2]   Synaptic computation [J].
Abbott, LF ;
Regehr, WG .
NATURE, 2004, 431 (7010) :796-803
[3]   Synergistic Gating of Electro-Iono-Photoactive 2D Chalcogenide Neuristors: Coexistence of Hebbian and Homeostatic Synaptic Metaplasticity [J].
John, Rohit Abraham ;
Liu, Fucai ;
Nguyen Anh Chien ;
Kulkarni, Mohit R. ;
Zhu, Chao ;
Fu, Qundong ;
Basu, Arindam ;
Liu, Zheng ;
Mathews, Nripan .
ADVANCED MATERIALS, 2018, 30 (25)
[4]   Three Fingerprints of Memristor [J].
Adhikari, Shyam Prasad ;
Sah, Maheshwar Pd ;
Kim, Hyongsuk ;
Chua, Leon O. .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2013, 60 (11) :3008-3021
[5]   True North: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip [J].
Akopyan, Filipp ;
Sawada, Jun ;
Cassidy, Andrew ;
Alvarez-Icaza, Rodrigo ;
Arthur, John ;
Merolla, Paul ;
Imam, Nabil ;
Nakamura, Yutaka ;
Datta, Pallab ;
Nam, Gi-Joon ;
Taba, Brian ;
Beakes, Michael ;
Brezzo, Bernard ;
Kuang, Jente B. ;
Manohar, Rajit ;
Risk, William P. ;
Jackson, Bryan ;
Modha, Dharmendra S. .
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2015, 34 (10) :1537-1557
[6]  
[Anonymous], 2015, JMIR MED INF, V3, pe22, DOI DOI 10.1063/1.4900889
[7]  
[Anonymous], BNJ M
[8]  
[Anonymous], 2019, JMIR PUBLIC HLTH SUR, V4, pe53, DOI [10.2196/publichealth.9932, DOI 10.1002/ADMT.201800350]
[9]  
[Anonymous], 2015, JMIR MED INF, V3, pe22, DOI DOI 10.1063/1.4902817
[10]  
[Anonymous], 2018, BNJ M, DOI DOI 10.1002/ADFM.201804025