Memristive devices are electrical resistance switches that can retain a state of internal
resistance based on the history of applied voltage and current. These devices can store and …

In this paper we review several ways of realizing asynchronous Spike-Timing-Dependent-
Plasticity (STDP) using memristors as synapses. Our focus is on how to use individual …

Fine-tuned ion transport across nanoscale pores is key to many biological processes,
including neurotransmission. Recent advances have enabled the confinement of water and …

Continuous memristor has been widely used in chaotic oscillating circuits and neuromorphic
computing systems. However, discrete memristor and its coupling discrete map have not …

With the nonlinearity and plasticity, memristors are widely used as nonlinear devices for
chaotic oscillations or as biological synapses for neuromorphic computations. But discrete …

This tutorial describes challenges and possible avenues for the implementation of the
components of a solid-state system, which emulates a biological brain. The tutorial is …

If a three-dimensional physical electronic system emulating synapse networks could be built,
that would be a significant step toward neuromorphic computing. However, the fabrication …

This paper presents an in-depth review of the memristor from a rigorous circuit-theoretic
perspective, independent of the material the device is made of. From an experimental …

This chapter illustrates that for a device to be a memristor it should exhibit three
characteristic fingerprints:(1) When driven by a bipolar periodic signal the device must …

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