Standards for the characterization of endurance in resistive switching devices

M Lanza, R Waser, D Ielmini, JJ Yang, L Goux… - ACS …, 2021 - ACS Publications
Resistive switching (RS) devices are emerging electronic components that could have
applications in multiple types of integrated circuits, including electronic memories, true …

Multi-state memristors and their applications: An overview

C Wang, Z Si, X Jiang, A Malik, Y Pan… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Memristors show great potential for being integrated into CMOS technology and provide
new approaches for designing computing-in-memory (CIM) systems, brain-inspired …

[HTML][HTML] Multibit memory operation of metal-oxide bi-layer memristors

S Stathopoulos, A Khiat, M Trapatseli, S Cortese… - Scientific reports, 2017 - nature.com
Emerging nanoionic memristive devices are considered as the memory technology of the
future and have been winning a great deal of attention due to their ability to perform fast and …

[HTML][HTML] Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses

A Serb, J Bill, A Khiat, R Berdan, R Legenstein… - Nature …, 2016 - nature.com
In an increasingly data-rich world the need for developing computing systems that cannot
only process, but ideally also interpret big data is becoming continuously more pressing …

[HTML][HTML] Analog memristive synapse in spiking networks implementing unsupervised learning

E Covi, S Brivio, A Serb, T Prodromakis… - Frontiers in …, 2016 - frontiersin.org
Emerging brain-inspired architectures call for devices that can emulate the functionality of
biological synapses in order to implement new efficient computational schemes able to …

[HTML][HTML] Real-time encoding and compression of neuronal spikes by metal-oxide memristors

I Gupta, A Serb, A Khiat, R Zeitler, S Vassanelli… - Nature …, 2016 - nature.com
Advanced brain-chip interfaces with numerous recording sites bear great potential for
investigation of neuroprosthetic applications. The bottleneck towards achieving an efficient …

[HTML][HTML] Memristive synapses connect brain and silicon spiking neurons

A Serb, A Corna, R George, A Khiat, F Rocchi… - Scientific reports, 2020 - nature.com
Brain function relies on circuits of spiking neurons with synapses playing the key role of
merging transmission with memory storage and processing. Electronics has made important …

[HTML][HTML] Emulating short-term synaptic dynamics with memristive devices

R Berdan, E Vasilaki, A Khiat, G Indiveri, A Serb… - Scientific reports, 2016 - nature.com
Neuromorphic architectures offer great promise for achieving computation capacities
beyond conventional Von Neumann machines. The essential elements for achieving this …

A data-driven verilog-a reram model

I Messaris, A Serb, S Stathopoulos… - … on Computer-Aided …, 2018 - ieeexplore.ieee.org
The translation of emerging application concepts that exploit resistive random access
memory (ReRAM) into large-scale practical systems requires realistic yet computationally …

[HTML][HTML] A memristor fingerprinting and characterisation methodology for hardware security

C Aitchison, B Halak, A Serb, T Prodromakis - Scientific Reports, 2023 - nature.com
The modern IC supply chain encompasses a large number of steps and manufacturers. In
many applications it is critically important that chips are of the right quality and are assured …