S. Hashemkhani

A Spiking Recurrent Neural Network With Phase-Change Memory Neurons and Synapses for the Accelerated Solution of Constraint Satisfaction Problems

D. Ielmini, V. Milo, G. Pedretti, 2020, IEEE Journal on Exploratory Solid-State Computational Devices and Circuits.

Forming‐Free Resistive Switching Memory Crosspoint Arrays for In‐Memory Machine Learning

D. Ielmini, P. Mannocci, S. Hashemkhani, 2022, Adv. Intell. Syst..

In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks

D. Ielmini, G. Pedretti, S. Hashemkhani, 2021, Nature Materials.

A Brain-Inspired Homeostatic Neuron Based on Phase-Change Memories for Efficient Neuromorphic Computing

D. Ielmini, G. Pedretti, S. Hashemkhani, 2021, Frontiers in Neuroscience.

Hardware Implementation of PCM-Based Neurons with Self-Regulating Threshold for Homeostatic Scaling in Unsupervised Learning

S. Bianchi, I. Munoz-Martin, S. Hashemkhani, 2020, 2020 IEEE International Symposium on Circuits and Systems (ISCAS).

A CMOS–memristor hybrid system for implementing stochastic binary spike timing-dependent plasticity

D. Ielmini, T. Serrano-Gotarredona, B. Linares-Barranco, 2022, Philosophical Transactions of the Royal Society A.

Memtransistor Devices Based on MoS2 Multilayers with Volatile Switching due to Ag Cation Migration

D. Ielmini, S. Hashemkhani, A. Bricalli, 2022, Advanced Electronic Materials.

A Bio-Inspired Recurrent Neural Network with Self-Adaptive Neurons and PCM Synapses for Solving Reinforcement Learning Tasks

S. Bianchi, I. Munoz-Martin, S. Hashemkhani, 2020, 2020 IEEE International Symposium on Circuits and Systems (ISCAS).

A Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision Making

Elisabetta Chicca, S. Hashemkhani, Giacomo Pedretti, 2020, 2020 IEEE International Symposium on Circuits and Systems (ISCAS).