In this paper, the recent progress of synaptic electronics is reviewed. The basics of biological
synaptic plasticity and learning are described. The material properties and electrical …

Neuromorphic engineering (NE) encompasses a diverse range of approaches to information
processing that are inspired by neurobiological systems, and this feature distinguishes …

Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …

In this paper, we describe the design of Neurogrid, a neuromorphic system for simulating
large-scale neural models in real time. Neuromorphic systems realize the function of …

Braindrop is the first neuromorphic system designed to be programmed at a high level of
abstraction. Previous neuromorphic systems were programmed at the neurosynaptic level …

This paper introduces a spiking hierarchical model for object recognition which utilizes the
precise timing information inherently present in the output of biologically inspired …

Memristive devices present a new device technology allowing for the realization of compact
non-volatile memories. Some of them are already in the process of industrialization …

Lifelong learning—an agent's ability to learn throughout its lifetime—is a hallmark of
biological learning systems and a central challenge for artificial intelligence (AI). The …

In this paper, we present an alternative approach to neuromorphic systems based on
multilevel resistive memory synapses and deterministic learning rules. We demonstrate an …

We present a low-power analog circuit for implementing a model of a leaky integrate and fire
neuron. Next to being optimized for low-power consumption, the proposed circuit includes …