Results 251 to 260 of about 79,596 (285)
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Lithium Ion Alloying-Type Artificial Synapses

ACS Applied Electronic Materials, 2019
This 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
openaire   +1 more source

Amperometric Detection of Exocytosis in an Artificial Synapse

Analytical Chemistry, 2003
A 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
openaire   +2 more sources

Engineer neuromimetic artificial synapses.

Proceedings of the Neuromorphic Materials, Devices, Circuits and Systems, 2023
claudia lubrano   +3 more
openaire   +1 more source

Multi-ReRAM Synapses for Artificial Neural Network Training

2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019
Metal-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
openaire   +1 more source

Transient Potentials Transmitted by an Artificial Electrochemical Synapse

MRS Proceedings, 1990
AbstractExperiments 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
openaire   +1 more source

Synapse-MOS Artificial Neural Networks (SANNs)

1997
In 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
openaire   +1 more source

Battery-like artificial synapses

Nature Materials, 2017
J. Joshua Yang, Qiangfei Xia
openaire   +1 more source

Artificial channels for confined mass transport at the sub-nanometre scale

Nature Reviews Materials, 2021
Jie Shen, Gong-Ping Liu, Yu Han
exaly  

Predicting cancer outcomes with radiomics and artificial intelligence in radiology

Nature Reviews Clinical Oncology, 2021
Kaustav Bera   +2 more
exaly  

Gold nanogap-based artificial synapses

Japanese Journal of Applied Physics, 2020
Keita Sakai   +6 more
openaire   +1 more source

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