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

As semiconductor technology enters the more than Moore era, there exists an apparent
contradiction between the rapidly growing demands for data processing and the visible …

A multitude of chemical, biological, and material systems present an inductive behavior that
is not electromagnetic in origin. Here, it is termed a chemical inductor. We show that the …

Future‐generation neuromorphic computing seeks to overcome the limitations of von
Neumann architectures by colocating logic and memory functions, thereby emulating the …

No isolated system may ever support complexity. Emergent phenomena may however
appear in an open system, if, as established by the Edge of Chaos theory, some of its …

Translating the surging interest in neuromorphic electronic components, such as those
based on nonlinearities near Mott transitions, into large‐scale commercial deployment faces …

Neurons, which are made of biological tissue, exhibit cognitive properties that can be
replicated in various material substrates. To create brain-inspired computational artificial …

Rather than echoing the vision and perspectives proffered by numerous previous
publications, this Review focuses on the recent resolution of four unsolved classic problems …

We present and experimentally validate two minimal compact memristive models for spiking
neuronal signal generation using commercially available low-cost components. The first …

This paper presents a circuit-theoretic analysis of a NbO 2-Mott memristor fabricated at
Hewlett-Packard Labs. It investigates mechanisms behind the origin of complexity based on …