Neuromorphic systems must have at least five unavoidable features that are present in living
beings. First, neuromorphic systems must perform memorizing and processing functions …

This article aims to provide an overview of broad range of applications of synchrotron
scattering methods in the investigation of nanoscale materials. These scattering techniques …

A blend of polyethylene oxide (PEO)/polyvinyl alcohol (PVA) filled with gradient
concentrations of selenium nanoparticles (SeNPs) was prepared using a conventional …

Polyaniline (PANI) based memristive devices have emerged as promising candidates for
hardware implementation of artificial synapses (the key components of neuromorphic …

The combination of polyethylene terephthalate (PET), one of the most used polymers in the
textile industry, with graphene, one of the most outstanding conductive materials in recent …

Spiking neuromorphic networks (SNNs) are bio-inspired artificial systems capable of
unsupervised learning and promising candidates to mimic biological neural systems in …

Organic electronics has recently emerged as a promising candidate for the emulation of
brain‐like functionalities, especially at the device level. Among the proposed technologies …

Organic memristive devices are of great interest nowadays due to their low costs, flexibility,
and prospects of use in artificial neuromorphic systems. Polyaniline (PANI) is a conductive …

Reservoir computing systems are promising for application in bio-inspired neuromorphic
networks as they allow the considerable reduction of training energy and time costs as well …

In recent years, studies concerning Organic Bioelectronics have had a constant growth due
to the interest in disciplines such as medicine, biology and food safety in connecting the …