The stochastic resonance phenomenon has been studied experimentally and theoretically
for a state-of-art metal-oxide memristive device based on yttria-stabilized zirconium dioxide …

In an increasingly data-rich world the need for developing computing systems that cannot
only process, but ideally also interpret big data is becoming continuously more pressing …

Variability of resistive switching is a key problem for application of memristive devices in
emerging information‐computing systems. Achieving a stable switching between the …

A novel protein-based polymer memristor is synthesized by a polymerization reaction using
silk fibroin protein (SFP) and 2-isocyanatoethyl methacrylate. The analogue-type protein …

Recent years have witnessed growing interest in the use of artificial neural networks (ANNs)
for vision, classification, and inference problems. An artificial neuron sums N weighted …

In this study, we investigated the synaptic functions of TiN/Ti/TiO2/SiO x/Si resistive random
access memory for a neuromorphic computing system that can act as a substitute for the von …

Hierarchical temporal memory (HTM) tries to mimic the computing in cerebral neocortex. It
identifies spatial and temporal patterns in the input for making inferences. This may require a …

Emerging nonvolatile resistive memory technologies can be potentially suitable for
computationally expensive analog pattern-matching tasks. However, the use of CMOS …

Emerging resistive-crossbar memory (RCM) technology can be promising for
computationally-expensive analog pattern-matching tasks. However, the use of CMOS …

It is shown that the time-averaged dynamics of memristors and their networks periodically
driven by alternating-polarity pulses may converge to fixed-point attractors. Starting with a …