Memristors are one of the emerging technologies that can potentially replace state-of-the-art
integrated electronic devices for advanced computing and digital and analog circuit …

Conventional neuro-computing architectures and artificial neural networks have often been
developed with no or loose connections to neuroscience. As a consequence, they have …

A nociceptor is an essential element in the human body, alerting us to potential damage
from extremes in temperature, pressure, etc. Realizing nociceptive behavior in an …

Memristors are one of the emerging technologies that can potentially replace state-of-the-art
integrated electronic devices for advanced computing and digital and analog circuit …

This paper proposes the utilization of factored forms in logic synthesis for memristive
material implication stateful logic. Factored forms have not been explored by previous works …

A facile one-step hydrothermal method has been reported to prepare the single-crystalline
anatase TiO 2 nanowire arrays with (101) preferentially oriented on the FTO substrate. The …

Memristors promise a means for high-density neuromorphic nanoscale architectures that
leverage in situ learning algorithms. While traditional learning algorithms commonly assume …

The behavior of the capacitance switching of HfO 2 Resistive non-volatile Memories is
investigated in view of realizing a MEMImpedance (MEM-Z) device. In such a Metal Insulator …

Devices that exhibit resistive switching are promising components for future nanoelectronics
with applications ranging from emerging memory to neuromorphic computing and …

This chapter discusses the main properties of the memristor, a comparison between five
recent memristor models, mathematical modeling of the HP memristor with analytical …