For the last 75 years several studies have been reporting on the physical properties of
niobium oxides, but there is still many contradictory, inconsistent and insufficient information …

In this review the different concepts of nanoscale resistive switching memory devices are
described and classified according to their I–V behaviour and the underlying physical …

Current hardware approaches to biomimetic or neuromorphic artificial intelligence rely on
elaborate transistor circuits to simulate biological functions. However, these can instead be …

As a key building block of biological cortex, neurons are powerful information processing
units and can achieve highly complex nonlinear computations even in individual cells …

Multimode‐fused sensing in the somatosensory system helps people obtain comprehensive
object properties and make accurate judgments. However, building such multisensory …

In our brain, information is exchanged among neurons in the form of spikes where both the
space (which neuron fires) and time (when the neuron fires) contain relevant information …

Negative differential resistance behavior in oxide memristors, especially those using NbO2,
is gaining renewed interest because of its potential utility in neuromorphic computing …

Develo** a high-efficiency neuromorphic hardware network is essential to achieve
complex artificial intelligence. Here, for the first time, we propose a multi-neuromorphic …

Local activity is the capability of a system to amplify infinitesimal fluctuations in energy.
Complex phenomena, including the generation of action potentials in neuronal axon …

Resistive switching can be achieved in a Mott insulator by applying current/voltage, which
triggers an insulator-metal transition (IMT). This phenomenon is key for understanding IMT …