5 papers
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…
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…
Memristor-Driven Spike Encoding for Fully Implantable Cochlear Implants
TÃmea 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…
VO oscillator circuits optimized for ultrafast, 100 MHz-range operation
Zsigmond Pollner, TÃmea 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…
Neural information processing and time-series prediction with only two dynamical memristors
Dániel Molnár, TÃmea Nóra Török, János Volk +9
Memristive devices are commonly benchmarked by the multi-level programmability of their resistance states. Neural networks utilizing memristor crossbar arrays as synaptic layers la…