activity
20242026
collaborators

5 papers

cond-mat.mes-hall2026

High-speed time-series prediction using compact memristor circuits with adjustable dynamics

Dániel Molnár, János Volk, Tímea Nóra Török +5

TaO nonvolatile memristors are used as compact, traceable, and well-controllable dynamic reservoir computing layers to perform time-series prediction tasks. The strongly vo…

cond-mat.mes-hall2026

Voltage-driven transition from steady-state fluctuations to phase-transition noise in nanoscale VO devices

Sebastian Werner Schmid, Zoltán Balogh, Botond Sánta +6

We investigate the electrically driven metal-to-insulator transition (MIT) in nanoscale vanadium dioxide (VO) Mott memristor through noise spectroscopy and two-dimensional resi…

cond-mat.mes-hall2025

Memristor-Driven Spike Encoding for Fully Implantable Cochlear Implants

Tímea Nóra Török, Roland Kövecs, Ferenc Braun +9

Objective: This work aims to demonstrate a low-power, biomimetic auditory sensing concept for fully implantable cochlear implants. The approach draws inspiration from the frequency…

cond-mat.mes-hall2025

VO oscillator circuits optimized for ultrafast, 100 MHz-range operation

Zsigmond Pollner, Tímea Nóra Török, László Pósa +9

Oscillating neural networks are promising candidates for a new computational paradigm, where complex optimization problems are solved by physics itself through the synchronization…

cond-mat.mes-hall2024

Benchmarking stochasticity behind reproducibility: denoising strategies in TaO memristors

Anna Nyáry, Zoltán Balogh, Botond Sánta +5

Reproducibility, endurance, driftless data retention, and fine resolution of the programmable conductance weights are key technological requirements against memristive artificial s…