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Lithium Ion Alloying-Type Artificial Synapses
ACS Applied Electronic Materials, 2019This paper proposes an artificial synapse (AS) based on the alloying-type behavior of lithium ions (Li+) to govern ion migration and thereby adjust synaptic weights in artificial synaptic devices.
Huanhuan Wei +10 more
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Amperometric Detection of Exocytosis in an Artificial Synapse
Analytical Chemistry, 2003A liposome model of exocytosis has been used to examine the nanometer environment of the space between the electrode and the membrane. First, this has been used to test models of coulometric efficiency for different size vesicles with 5- and 33-microm electrodes.
Ann-Sofie, Cans +6 more
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Engineer neuromimetic artificial synapses.
Proceedings of the Neuromorphic Materials, Devices, Circuits and Systems, 2023claudia lubrano +3 more
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Multi-ReRAM Synapses for Artificial Neural Network Training
2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019Metal-oxide-based resistive memory devices (ReRAM) are being actively researched as synaptic elements of neuromorphic co-processors for training deep neural networks (DNNs). However, device-level non-idealities are posing significant challenges. In this work we present a multi-ReRAM-based synaptic architecture with a counter-based arbitration scheme ...
Boybat I. +10 more
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Transient Potentials Transmitted by an Artificial Electrochemical Synapse
MRS Proceedings, 1990AbstractExperiments have been made with a simple device consisting of two asymmetrically insulated electrodes separated by a thin electrolytic layer. This device has been found to exhibit a wide variety of transient potentials similar to those transmitted by biological synapses, thus suggesting the possibility of constructing a network of similar ...
T. Triffet, P. Calvert, T.W. Huntoon
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Synapse-MOS Artificial Neural Networks (SANNs)
1997In this chapter, we first discuss important aspects of our approach to neural-network implementation. This discussion includes a short review of topics introduced previously. Then, we will provide a summary of the guidelines derived here for neural-network-hardware implementation.
Sied Mehdi Fakhraie +1 more
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Battery-like artificial synapses
Nature Materials, 2017J. Joshua Yang, Qiangfei Xia
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Artificial channels for confined mass transport at the sub-nanometre scale
Nature Reviews Materials, 2021Jie Shen, Gong-Ping Liu, Yu Han
exaly
Predicting cancer outcomes with radiomics and artificial intelligence in radiology
Nature Reviews Clinical Oncology, 2021Kaustav Bera +2 more
exaly
Gold nanogap-based artificial synapses
Japanese Journal of Applied Physics, 2020Keita Sakai +6 more
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