Neuromorphic computing has emerged as a promising avenue towards building the next
generation of intelligent computing systems. It has been proposed that memristive devices …

In the new era of cognitive computing, systems will be able to learn and interact with the
environment in ways that will drastically enhance the capabilities of current processors …

Memristive devices represent a promising technology for building neuromorphic electronic
systems. In addition to their compactness and non-volatility, they are characterized by their …

Brain-inspired computing is an emerging field, which aims to reach brainlike performance in
real-time processing of sensory data. The challenges that need to be addressed toward …

Neuromorphic computing targets the hardware embodiment of neural network, and device
implementation of individual neuron and synapse has attracted considerable attention. The …

Artificial neuromorphic systems based on populations of spiking neurons are an
indispensable tool in understanding the human brain and in constructing neuromimetic …

Phase-change memory (PCM) is an emerging non-volatile memory technology that is based
on the reversible and rapid phase transition between the amorphous and crystalline phases …

In this work, we demonstrate how phase change memory (PCM) devices can be used to
emulate biologically inspired synaptic functions in particular, potentiation and depression …

Neuromorphic computing systems are embracing memristors to implement high density and
low power synaptic storage as crossbar arrays in hardware. These systems are energy …

Neuromorphic computers comprised of artificial neurons and synapses could provide a
more efficient approach to implementing neural network algorithms than traditional …