258 citations · 368 across the 20 of their papers we have counts for
22 papers
Synaptic metaplasticity with multi-level memristive devices
Simone D'Agostino, Filippo Moro, Tifenn Hirtzlin +5
Deep learning has made remarkable progress in various tasks, surpassing human performance in some cases. However, one drawback of neural networks is catastrophic forgetting, where…
Powering AI at the Edge: A Robust, Memristor-based Binarized Neural Network with Near-Memory Computing and Miniaturized Solar Cell
Fadi Jebali, Atreya Majumdar, Clément Turck +13
Memristor-based neural networks provide an exceptional energy-efficient platform for artificial intelligence (AI), presenting the possibility of self-powered operation when paired…
Dendritic Computation through Exploiting Resistive Memory as both Delays and Weights
Melika Payvand, Simone D'Agostino, Filippo Moro +3
Biological neurons can detect complex spatio-temporal features in spiking patterns via their synapses spread across across their dendritic branches. This is achieved by modulating…
A Multimode Hybrid Memristor-CMOS Prototyping Platform Supporting Digital and Analog Projects
Kamel-Eddine Harabi, Clement Turck, Marie Drouhin +7
We present an integrated circuit fabricated in a process co-integrating CMOS and hafnium-oxide memristor technology, which provides a prototyping platform for projects involving me…
A Fully Digital Relaxation-Aware Analog Programming Technique for HfOx RRAM Arrays
Hamidreza Erfanijazi, Luis A. Camuñas-Mesa, Elisa Vianello +2
For neuromorphic engineering to emulate the human brain, improving memory density with low power consumption is an indispensable but challenging goal. In this regard, emerging RRAM…
A CMOL-Like Memristor-CMOS Neuromorphic Chip-Core Demonstrating Stochastic Binary STDP
L. A. Camuñas-Mesa, E. Vianello, C. Reita +2
The advent of nanoscale memristors raised hopes of being able to build CMOL (CMOS/nanowire/moLecular) type ultra-dense in-memory-computing circuit architectures. In CMOL, nanoscale…