@misc{10481/77126,
year = {2022},
month = {9},
url = {https://hdl.handle.net/10481/77126},
abstract = {The development of artificial neural networks using memristors is gaining a lot of interest among technological companies because
it can reduce the computing time and energy consumption. There is still no memristor, made of any material, capable to provide
the ideal figures-of-merit required for the implementation of artificial neural networks, meaning that more research is required.
Here we present the use of multilayer hexagonal boron nitride based memristors to implement spiking neural networks for image
classification. Our study indicates that the recognition accuracy of the network is high, and that can be resilient to device variability
if the number of neurons employed is large enough. There are very few studies that present the use of a two-dimensional material
for the implementation of synapses of different features; in our case, in addition to a study of the synaptic characteristics of our
memristive devices, we deal with complete spiking neural network training and inference processes.},
organization = {Ministry of Science and Technology, China	2018YFE0100800},
organization = {National Natural Science Foundation of China (NSFC)	61874075},
organization = {Collaborative Innovation Centre of Suzhou Nano Science Technology},
organization = {Priority Academic Program Development of Jiangsu Higher Education Institutions},
organization = {111 Project from the State Administration of Foreign Experts Affairs of China},
organization = {Junta de Andalucia},
organization = {European Commission	A-TIC-117-UGR18	
B-TIC-624-UGR20	
IE2017-5414},
organization = {Spanish Government},
organization = {ERDF fund	RTI2018-098983-B-I00},
organization = {King Abdullah University of Science & Technology},
publisher = {Nature},
title = {Spiking neural networks based on two-dimensional materials},
doi = {10.1038/s41699-022-00341-5},
author = {Roldán Aranda, Juan Bautista and Maldonado Correa, David and Aguilera Pedregosa, Cristina and Romero Zaliz, Rocio Celeste and García Vico, Ángel M.},
}