activity
20222026
most citedA Ferroelectric Tunnel Junction-based Integrate-and-Fire Neuron

9 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.ET2026

Current pulse generator: A circuit for programming RRAM in current mode

Bojian Zhang, Paolo Gibertini, Meysam Akbari +1

Switching uniformity, as a major challenge, hinders the practical implementation of \ac{RRAM} in memory application. Operating \ac{RRAM} in current mode, is proposed as an efficien…

eess.SP2025

An Asynchronous Mixed-Signal Resonate-and-Fire Neuron

Giuseppe Leo, Paolo Gibertini, Irem Ilter +3

Analog computing at the edge is an emerging strategy to limit data storage and transmission requirements, as well as energy consumption, and its practical implementation is in its…

cs.NE2025

Bruno: Backpropagation Running Undersampled for Novel device Optimization

Luca Fehlings, Bojian Zhang, Paolo Gibertini +3

Recent efforts to improve the efficiency of neuromorphic and machine learning systems have centred on developing of specialised hardware for neural networks. These systems typicall…

cs.ET2024★ 1 cited

Heracles: A HfO2 Ferroelectric Capacitor Compact Model for Efficient Circuit Simulations

Luca Fehlings, Md Hanif Ali, Paolo Gibertini +4

The growing use of ferroelectric-based technology, extending beyond conventional memory storage applications, necessitates the development of compact models that can be easily inte…

cs.ET2022★ 9 cited

A Ferroelectric Tunnel Junction-based Integrate-and-Fire Neuron

Paolo Gibertini, Luca Fehlings, Suzanne Lancaster +6

Event-based neuromorphic systems provide a low-power solution by using artificial neurons and synapses to process data asynchronously in the form of spikes. Ferroelectric Tunnel Ju…