C. Tsioustas

Low Power Stochastic Neurons From SiO₂-Based Bilayer Conductive Bridge Memristors for Probabilistic Spiking Neural Network Applications—Part I: Experimental Characterization

Panagiotis Bousoulas, C. Tsioustas, Jack Hadfield et al. · IEEE Transactions on Electron Devices · 2022 · 23 citations

Engineering, Emerging Memory Technology, Phase Change Memory +18

Low Power Stochastic Neurons From SiO₂-Based Bilayer Conductive Bridge Memristors for Probabilistic Spiking Neural Network Applications—Part II: Modeling

Panagiotis Bousoulas, C. Tsioustas, Jack Hadfield et al. · IEEE Transactions on Electron Devices · 2022 · 18 citations

Artificial Sensory Systems, Engineering, Neural Networks (Machine Learning) +20

Simulation of Low Power Self-Selective Memristive Neural Networks for in situ Digital and Analogue Artificial Neural Network Applications

C. Tsioustas, Panagiotis Bousoulas, Jack Hadfield et al. · IEEE Transactions on Nanotechnology · 2022 · 17 citations

Non-volatile Memory, Engineering, Emerging Memory Technology +21

Emulating low power nociceptive functionalities with a forming-free SiO2/VO<i>x</i> conductive bridge memory with Pt nanoparticles

Panagiotis Bousoulas, C. Tsioustas, Dimitris Tsoukalas · Applied Physics Letters · 2022 · 14 citations

Bilayer Configuration, Engineering, Emerging Memory Technology +21

Pulse-stream impact on recognition accuracy of reservoir computing from SiO2-based low power memory devices

C. Tsioustas, Panagiotis Bousoulas, G. Kleitsiotis et al. · APL Machine Learning · 2023 · 10 citations · Full text