Synchronization transitions in a discrete memristor-coupled bi-neuron model
When synaptic connection is created to couple two neurons, the electromagnetic induction
current is unavoidably induced, which can be imitated by a flux-controlled memristor. To …
current is unavoidably induced, which can be imitated by a flux-controlled memristor. To …
2D-material-based volatile and nonvolatile memristive devices for neuromorphic computing
Neuromorphic computing can process large amounts of information in parallel and provides
a powerful tool to solve the von Neumann bottleneck. Constructing an artificial neural …
a powerful tool to solve the von Neumann bottleneck. Constructing an artificial neural …
Memristor-based multi-synaptic spiking neuron circuit for spiking neural network
Spiking neural networks (SNNs) are widely used in many fields because they work closer to
biological neurons. However, due to its computational complexity, many SNNs …
biological neurons. However, due to its computational complexity, many SNNs …
Unsupervised character recognition with graphene memristive synapses
Memristive devices being applied in neuromorphic computing are envisioned to significantly
improve the power consumption and speed of future computing platforms. The materials …
improve the power consumption and speed of future computing platforms. The materials …
Memristors as Prospective Devices for Silicon and Post-Silicon Eras: Theory, Applications and Perspectives
Silicon-based semiconductor devices have sustained Moore s Law for a long time. However,
with the downscaling of devices, the focus of the industry has shifted toward alternative …
with the downscaling of devices, the focus of the industry has shifted toward alternative …
Unsupervised Learning of Digit Recognition Through Spike-Timing-Dependent Plasticity Based on Memristors
Y Wang, Y Yan, Y Liu, Y Zhang, Y Wang… - 2023 4th …, 2023 - atlantis-press.com
Neuromorphic computing based on spiking neural networks (SNNs) is a promising
alternative in the field of intelligent computing, especially when traditional Von Neumann …
alternative in the field of intelligent computing, especially when traditional Von Neumann …