output
20072026
most citedIntegration of nanoscale memristor synapses in neuromorphic computing architectures

624 citations

18 papers

cs.ET2026★ 4 cited

Update Disturbance-Resilient Analog ReRAM Crossbar Arrays for In-Memory Deep Learning Accelerators

Wooseok Choi, Tommaso Stecconi, Donato Francesco Falcone +14

Resistive memory (ReRAM) technologies with crossbar array architectures hold significant potential for analog AI accelerator hardware, enabling both in-memory inference and trainin…

cond-mat.mtrl-sci2024★ 2 cited

Water-resistant hybrid perovskite solar cell -- drop triboelectric energy harvester

Fernando Nunez-Galvez, Xabier Garcia-Casas, Lidia Contreras Bernal +11

Hybrid energy-harvesting systems combining perovskite solar cells (PSCs) with drop-driven triboelectric nanogenerators (D-TENGs) provide continuous power under various weather cond…

cond-mat.mes-hall2024★ 2 cited

Spin Hall Nano-Oscillator Empirical Electrical Model for Optimal On-chip Detector Design

Rafaella Fiorelli, Mona Rajabali, Roberto Méndez-Romero +7

As nascent nonlinear oscillators, nano-constriction spin Hall nano-oscillators (SHNOs) represent a promising potential for integration into more complicated systems such as neural…

cs.ET2023★ 16 cited

Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking

Alberto Patiño-Saucedo, Amirreza Yousefzadeh, Guangzhi Tang +3

The role of axonal synaptic delays in the efficacy and performance of artificial neural networks has been largely unexplored. In step-based analog-valued neural network models (ANN…

eess.SP2023

A Memristor-Inspired Computation for Epileptiform Signals in Spheroids

Iván Díez de los Ríos, John Wesley Ephraim, Gemma Palazzolo +3

In this paper we present a memristor-inspired computational method for obtaining a type of running spectrogram or fingerprint of epileptiform activity generated by rodent hippocamp…

cs.ET2023★ 6 cited

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…