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Self-Doping Memristors with Equivalently Synaptic Ion Dynamics for Neuromorphic Computing.
ACS Appl Mater Interfaces. 2019 Jul 10; 11(27):24230-24240.AA

Abstract

The accumulation and extrusion of Ca2+ ions in the pre- and post-synaptic terminals play crucial roles in initiating short- and long-term plasticity (STP and LTP) in biological synapses, respectively. Mimicking these synaptic behaviors by electronic devices represents a vital step toward realization of neuromorphic computing. However, the majority of reported synaptic devices usually focus on the emulation of qualitatively synaptic behaviors; devices that can truly emulate the physical behavior of the synaptic Ca2+ ion dynamics in STP and LTP are rarely reported. In this work, Ag/Ag:Ta2O5/Pt self-doping memristors were developed to equivalently emulate the Ca2+ ion dynamics of biological synapses. With conductive filaments from double sources, these memristors produced unique double-switching behavior under voltage sweeps and demonstrated several essential synaptic behaviors under pulse stimuli, including STP, LTP, STP to LTP transition, and spike-rate-dependent plasticity. Experimental results and nanoparticle dynamic simulations both showed that Ag atoms from double sources could mimic Ca2+ dynamics in the pre- and post-synaptic terminals under stimuli. A perceptron network with an STP to LTP transition layer based on the self-doping memristors was also introduced and evaluated; simulations showed that this network could solve noisy figure recognition tasks efficiently. All of these results indicate that the self-doping memristors are promising components for future hardware creation of neuromorphic systems and emulate the characteristics of the brain.

Authors

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Pub Type(s)

Journal Article

Language

eng

PubMed ID

31119929

Citation

Wang, Yaoyuan, et al. "Self-Doping Memristors With Equivalently Synaptic Ion Dynamics for Neuromorphic Computing." ACS Applied Materials & Interfaces, vol. 11, no. 27, 2019, pp. 24230-24240.
Wang Y, Zhang Z, Xu M, et al. Self-Doping Memristors with Equivalently Synaptic Ion Dynamics for Neuromorphic Computing. ACS Appl Mater Interfaces. 2019;11(27):24230-24240.
Wang, Y., Zhang, Z., Xu, M., Yang, Y., Ma, M., Li, H., Pei, J., & Shi, L. (2019). Self-Doping Memristors with Equivalently Synaptic Ion Dynamics for Neuromorphic Computing. ACS Applied Materials & Interfaces, 11(27), 24230-24240. https://doi.org/10.1021/acsami.9b04901
Wang Y, et al. Self-Doping Memristors With Equivalently Synaptic Ion Dynamics for Neuromorphic Computing. ACS Appl Mater Interfaces. 2019 Jul 10;11(27):24230-24240. PubMed PMID: 31119929.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Self-Doping Memristors with Equivalently Synaptic Ion Dynamics for Neuromorphic Computing. AU - Wang,Yaoyuan, AU - Zhang,Ziyang, AU - Xu,Mingkun, AU - Yang,Yifei, AU - Ma,Mingyuan, AU - Li,Huanglong, AU - Pei,Jing, AU - Shi,Luping, Y1 - 2019/06/06/ PY - 2019/5/24/pubmed PY - 2019/5/24/medline PY - 2019/5/24/entrez KW - dynamics KW - interface KW - memristor KW - neuromorphic computing KW - synaptic plasticity SP - 24230 EP - 24240 JF - ACS applied materials & interfaces JO - ACS Appl Mater Interfaces VL - 11 IS - 27 N2 - The accumulation and extrusion of Ca2+ ions in the pre- and post-synaptic terminals play crucial roles in initiating short- and long-term plasticity (STP and LTP) in biological synapses, respectively. Mimicking these synaptic behaviors by electronic devices represents a vital step toward realization of neuromorphic computing. However, the majority of reported synaptic devices usually focus on the emulation of qualitatively synaptic behaviors; devices that can truly emulate the physical behavior of the synaptic Ca2+ ion dynamics in STP and LTP are rarely reported. In this work, Ag/Ag:Ta2O5/Pt self-doping memristors were developed to equivalently emulate the Ca2+ ion dynamics of biological synapses. With conductive filaments from double sources, these memristors produced unique double-switching behavior under voltage sweeps and demonstrated several essential synaptic behaviors under pulse stimuli, including STP, LTP, STP to LTP transition, and spike-rate-dependent plasticity. Experimental results and nanoparticle dynamic simulations both showed that Ag atoms from double sources could mimic Ca2+ dynamics in the pre- and post-synaptic terminals under stimuli. A perceptron network with an STP to LTP transition layer based on the self-doping memristors was also introduced and evaluated; simulations showed that this network could solve noisy figure recognition tasks efficiently. All of these results indicate that the self-doping memristors are promising components for future hardware creation of neuromorphic systems and emulate the characteristics of the brain. SN - 1944-8252 UR - https://www.unboundmedicine.com/medline/citation/31119929/Self_Doping_Memristors_with_Equivalently_Synaptic_Ion_Dynamics_for_Neuromorphic_Computing_ L2 - https://dx.doi.org/10.1021/acsami.9b04901 DB - PRIME DP - Unbound Medicine ER -
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