MLP-Mixer based on multilayer perceptrons (MLPs) is a novel architecture of a
neuromorphic computing system (NCS) introduced for image classification tasks without …

Memristive devices have a multitude of potential applications, ranging from neuromorphic
computing systems and chips to bioprosthetic, each demanding distinct characteristics and …

In this study, we investigate the synaptic characteristics and the non-volatile memory
characteristics of TiN/CeOx/Pt RRAM devices for a neuromorphic system. The thickness and …

From the very beginning, the emulation of biological principles has been the primary avenue
for the development of energy-efficient artificial intelligence systems. Reservoir computing …

A strongly nonmonotonic temperature dependence of the magnetoresistance in (CoFeB) x
(LiNbO y) 100–x film nanocomposites (x≈ 40–48 at%) is observed in the temperature range …

В диапазоне температур 3–250 К в полях до 14 Тл обнаружена сильно немонотонная
температурная зависимость магнетосопротивления пленочных нанокомпозитов …

Memristive devices offer essential properties to become a part of the next-generation
computing systems based on neuromorphic principles. Organic memristive devices exhibit a …

Developing a spiking neural network architecture that could prospectively be trained on
energy-efficient neuromorphic hardware to solve various data analysis tasks requires …

In this paper, we demonstrate that fixed-weight layers generated from random distribution or
logistic functions can effectively extract significant features from input data, resulting in high …

Mechanical memory elements cannot be accurately modeled using the Lagrangian method
in the classical sense, since these elements are nonconservative in the plane of their non …