Recent progress in electronic skin or e‐skin research is broadly reviewed, focusing on
technologies needed in three main applications: skin‐attachable electronics, robotics, and …

Reservoir computing is a computational framework suited for temporal/sequential data
processing. It is derived from several recurrent neural network models, including echo state …

The unique electron spin, transfer, polarization and magnetoelectric coupling characteristics
of ABO3 multiferroic perovskite materials make them promising candidates for application in …

Neuromorphic engineering (NE) encompasses a diverse range of approaches to information
processing that are inspired by neurobiological systems, and this feature distinguishes …

Decoding the human brain is perhaps the most fascinating scientific challenge in the 21st
century. The Human Brain Project (HBP), a 10-year European Flagship, targets the …

Biological intelligence processes information using impulses or spikes, which makes those
living creatures able to perceive and act in the real world exceptionally well and outperform …

Artificial neural networks (ANNs) have experienced a rapid advancement for their success in
various application domains, including autonomous driving and drone vision. Researchers …

Biologically plausible learning with neuronal dendrites is a promising perspective to improve
the spike-driven learning capability by introducing dendritic processing as an additional …

In this paper, we propose a novel computational architecture of memristor-based echo state
network (MESN) with the online least mean square (LMS) algorithm. Newman and Watts …

Habituation and sensitization represent nonassociative learning mechanisms in both non‐
neural and neural organisms. They are essential for a range of functions from survival to …