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cond-mat.mes-hall2025
Modeling Memristor-Based Neural Networks with Manhattan Update: Trade-offs in Learning Performance and Energy Consumption
Walter Quiñonez, María José Sánchez, Diego Rubi
We present a systematic study of memristor based neural networks trained with the hardware-friendly Manhattan update rule, focusing on the trade offs between learning performance a…
cond-mat.mes-hall2025
Synaptic plasticity in Co/Nb:STO memristive devices: The role of oxygen vacancies
Walter Quiñonez, Anouk Goossens, Diego Rubi +2
Neuromorphic computing aims to develop energy-efficient devices that mimic biological synapses. One promising approach involves memristive devices that can dynamically adjust their…