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20232026
most citedRoadmap to Neuromorphic Computing with Emerging Technologies

3 citations · 3 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.ET2026

Forward-only learning in memristor arrays with month-scale stability

Adrien Renaudineau, Mamadou Hawa Diallo, Théo Dupuis +12

Turning memristor arrays from efficient inference engines into systems capable of on-chip learning has proved difficult. Weight updates have a high energy cost and cause device wea…

cs.ET2025

Unified Memcapacitor-Memristor Memory for Synaptic Weights and Neuron Temporal Dynamics

Simone D'Agostino, Marco Massarotto, Tristan Torchet +7

We present a fabricated and experimentally characterized memory stack that unifies memristive and memcapacitive behavior. Exploiting this dual functionality, we design a circuit en…

cs.ET2025

Intrinsic Annealing in a Hybrid Memristor-Magnetic Tunnel Junction Ising Machine

Mohammed Akib Iftakher, Hugo Levices, Kamel-Eddine Harabi +10

Hardware implementations of the Ising model offer promising solutions to large-scale optimization tasks. In the literature, various nanodevices have been shown to emulate the spin…

cs.ET2024

The Logarithmic Memristor-Based Bayesian Machine

Clément Turck, Kamel-Eddine Harabi, Adrien Pontlevy +9

The demand for explainable and energy-efficient artificial intelligence (AI) systems for edge computing has led to significant interest in electronic systems dedicated to Bayesian…

cs.ET2023

DenRAM: Neuromorphic Dendritic Architecture with RRAM for Efficient Temporal Processing with Delays

Simone DAgostino, Filippo Moro, Tristan Torchet +5

An increasing number of neuroscience studies are highlighting the importance of spatial dendritic branching in pyramidal neurons in the brain for supporting non-linear computation…