1 citations · 1 across the 2 of their papers we have counts for
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…
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, 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…