Results 311 to 320 of about 1,900,337 (342)

Emerging Memristive Artificial Synapses and Neurons for Energy‐Efficient Neuromorphic Computing

Advances in Materials, 2020
Memristors have recently attracted significant interest due to their applicability as promising building blocks of neuromorphic computing and electronic systems.
Sanghyeon Choi, Jehyeon Yang, Gunuk Wang
semanticscholar   +1 more source

Skyrmion-based artificial synapses for neuromorphic computing

Nature Electronics, 2019
Magnetic skyrmions are topologically protected spin textures that have nanoscale dimensions and can be manipulated by an electric current. These properties make the structures potential information carriers in data storage, processing and transmission ...
K. Song, Jae-Seung Jeong, Biao Pan, Xichao Zhang, J. Xia, S. Cha, T. Park, Kwangsu Kim, S. Finizio, J. Raabe, Joonyeon Chang, Yan Zhou, Weisheng Zhao, Wang Kang, H. Ju, S. Woo   +15 more
semanticscholar   +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, Nathan, Wittenberg, Daniel, Eves, Roger, Karlsson, Anders, Karlsson, Owe, Orwar, Andrew, Ewing   +6 more
openaire   +2 more sources

Engineer neuromimetic artificial synapses.

Proceedings of the Neuromorphic Materials, Devices, Circuits and Systems, 2023
claudia lubrano, ugo bruno, chiara ausilio, francesca santoro   +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., Giovinazzo C., Shahrabi E., Krawczuk I., Giannopoulos I., Piveteau C., Le Gallo M., Ricciardi C., Sebastian A., Eleftheriou E., Leblebici Y.   +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, Kenneth Carless Smith   +1 more
openaire   +1 more source

Battery-like artificial synapses

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

Electrochemical‐Memristor‐Based Artificial Neurons and Synapses—Fundamentals, Applications, and Challenges

Advanced Materials, 2023
Ilia Valov
exaly  

All optical artificial synapses based on long-afterglow material for optical neural network

Nano Reseach, 2023
Wenjie Lu, Qizhen Chen, Huaan Zeng, Hui Wang, Lujian Liu, T. Guo, Huipeng Chen, Rui Wang   +7 more
semanticscholar   +1 more source