Memristive crossbar arrays for brain-inspired computing
With their working mechanisms based on ion migration, the switching dynamics and
electrical behaviour of memristive devices resemble those of synapses and neurons, making …
electrical behaviour of memristive devices resemble those of synapses and neurons, making …
Physics for neuromorphic computing
Neuromorphic computing takes inspiration from the brain to create energy-efficient hardware
for information processing, capable of highly sophisticated tasks. Systems built with standard …
for information processing, capable of highly sophisticated tasks. Systems built with standard …
Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing
The accumulation and extrusion of Ca2+ in the pre-and postsynaptic compartments play a
critical role in initiating plastic changes in biological synapses. To emulate this fundamental …
critical role in initiating plastic changes in biological synapses. To emulate this fundamental …
A comprehensive review on emerging artificial neuromorphic devices
The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …
efficiency and ultralow power consumption. In the past few decades, neuromorphic …
Fully memristive neural networks for pattern classification with unsupervised learning
Neuromorphic computers comprised of artificial neurons and synapses could provide a
more efficient approach to implementing neural network algorithms than traditional …
more efficient approach to implementing neural network algorithms than traditional …
Bridging biological and artificial neural networks with emerging neuromorphic devices: fundamentals, progress, and challenges
As the research on artificial intelligence booms, there is broad interest in brain‐inspired
computing using novel neuromorphic devices. The potential of various emerging materials …
computing using novel neuromorphic devices. The potential of various emerging materials …
Reinforcement learning with analogue memristor arrays
Reinforcement learning algorithms that use deep neural networks are a promising approach
for the development of machines that can acquire knowledge and solve problems without …
for the development of machines that can acquire knowledge and solve problems without …
Memristive crossbar arrays for storage and computing applications
The emergence of memristors with potential applications in data storage and artificial
intelligence has attracted wide attentions. Memristors are assembled in crossbar arrays with …
intelligence has attracted wide attentions. Memristors are assembled in crossbar arrays with …
Brain‐inspired photonic neuromorphic devices using photodynamic amorphous oxide semiconductors and their persistent photoconductivity
M Lee, W Lee, S Choi, JW Jo, J Kim… - Advanced …, 2017 - Wiley Online Library
The combination of a neuromorphic architecture and photonic computing may open up a
new era for computational systems owing to the possibility of attaining high bandwidths and …
new era for computational systems owing to the possibility of attaining high bandwidths and …
Organic memory and memristors: from mechanisms, materials to devices
Facing the exponential growth of data digital communications and the advent of artificial
intelligence, there is an urgent need for information technologies with huge storage capacity …
intelligence, there is an urgent need for information technologies with huge storage capacity …