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…
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…
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…
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…