53 citations · 345 across the 21 of their papers we have counts for
21 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…
20 ps Non-Destructive Read and 1 ns Write Operations at <5 V in Ferroelectric HfO2/ZrO2 Non-Volatile Memories
Alexandre Baigol, Ruben Hamming-Green, Paul Uriarte Vicandi +8
Achieving low-voltage, nanosecond multi-level programming and non-destructive read-out of ferroelectric non-volatile memories (NVM) is critical for analog in-memory computing archi…
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…
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…
Picosecond Femtojoule Resistive Switching in Nanoscale VO Memristors
S. W. Schmid, L. Pósa, T. N. Török +8
Beyond-Moore computing technologies are expected to provide a sustainable alternative to the von Neumann approach not only due to their down-scaling potential but also via exploiti…
Neural information processing and time-series prediction with only two dynamical memristors
Dániel Molnár, Tímea 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…