As one of the emerging neuromorphic computing devices, memristors may break through
the limitation of traditional computers with a von Neumann architecture. However, the …

Objective. Spike sorting is a set of techniques used to analyze extracellular neural
recordings, attributing individual spikes to individual neurons. This field has gained …

Objective. Computation in nervous systems operates with different computational primitives,
and on different hardware, than traditional digital computation and is thus subjected to …

One of the modern trends in the design of human–machine interfaces (HMI) is to involve the
so called spiking neuron networks (SNNs) in signal processing. The SNNs can be trained by …

This paper presents a new third-order RLCM-four-elements-based chaotic circuit, in which
the memristor element is equivalently implemented by a diode-bridge cascaded with an …

This paper mainly investigates the fixed-time synchronization of memristor-based fuzzy
cellular neural network (MFCNN) with time-varying delay. By utilizing differential inclusion …

As the world enters the age of ubiquitous computing, the need for reconfigurable hardware
operating close to the fundamental limits of energy consumption becomes increasingly …

Design and training principles have been proposed and tested for an artificial neural
network based on metal-oxide thin-film nanostructures possessing bipolar resistive …

Background: In recent years, biomedical devices have proven to be able to target also
different neurological disorders. Given the rapid ageing of the population and the increase of …

Employing electrochemical impedance spectroscopy (EIS), we demonstrate a novel
approach towards characterizing the switching behavior of nano-ionic memristor, M/TiO 2 …