Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …

Quantum effects in novel functional materials and new device concepts represent a potential
breakthrough for the development of new information processing technologies based on …

Neuromorphic computing aims at the realization of intelligent systems able to process
information similarly to our brain. Brain-inspired computing paradigms have been …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

Nanowire networks (NWNs) mimic the brain's neurosynaptic connectivity and emergent
dynamics. Consequently, NWNs may also emulate the synaptic processes that enable …

The brain's efficient information processing is enabled by the interplay between its neuro-
synaptic elements and complex network structure. This work reports on the neuromorphic …

Abstract Nanowire Networks (NWNs) belong to an emerging class of neuromorphic systems
that exploit the unique physical properties of nanostructured materials. In addition to their …

Here we provide a perspective concept of neurohybrid memristive chip based on the
combination of living neural networks cultivated in microfluidic/microelectrode system, metal …

Neuromorphic computing has shown remarkable capabilities in silicon-based artificial
intelligence, which can be optimized by using Mott materials for functional synaptic …

Metal nanowire (MNW)‐based transparent electrode technologies have significantly
matured over the last decade to become a prominent low‐cost alternative to indium tin oxide …