Physics-based modeling approaches of resistive switching devices for memory and in-memory computing applications

por Ielmini, D., Milo, V.
Publicado 2017

Bipolar switching in chalcogenide phase change memory

por Ciocchini, N., Laudato, M., Boniardi, M., Varesi, E., Fantini, P., Lacaita, A. L., Ielmini, D.
Publicado 2016

Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity

por Pedretti, G., Milo, V., Ambrogio, S., Carboni, R., Bianchi, S., Calderoni, A., Ramaswamy, N., Spinelli, A. S., Ielmini, D.
Publicado 2017

Publisher Correction: Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity

por Pedretti, G., Milo, V., Ambrogio, S., Carboni, R., Bianchi, S., Calderoni, A., Ramaswamy, N., Spinelli, A. S., Ielmini, D.
Publicado 2018

Computing of temporal information in spiking neural networks with ReRAM synapses

por Wang, W., Pedretti, G., Milo, V., Carboni, R., Calderoni, A., Ramaswamy, N., Spinelli, A. S., Ielmini, D.
Publicado 2019

A self-adaptive hardware with resistive switching synapses for experience-based neurocomputing

por Bianchi, S., Muñoz-Martin, I., Covi, E., Bricalli, A., Piccolboni, G., Regev, A., Molas, G., Nodin, J. F., Andrieu, F., Ielmini, D.
Publicado 2023