The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Artificial neurons and synapses are considered essential for the progress of the future brain‐
inspired computing, based on beyond von Neumann architectures. Here, a discussion on …

Artificial neuronal devices are critical building blocks of neuromorphic computing systems
and currently the subject of intense research motivated by application needs from new …

In our brain, information is exchanged among neurons in the form of spikes where both the
space (which neuron fires) and time (when the neuron fires) contain relevant information …

In this work we present an in-memory computing platform based on coupled VO2 oscillators
fabricated in a crossbar configuration on silicon. Compared to existing platforms, the …

Brain-inspired computing employs devices and architectures that emulate biological
functions for more adaptive and energy-efficient systems. Oscillatory neural networks …

Electrical self-sustained oscillations have been observed in a broad range of two-terminal
systems and are of interest as possible building blocks for bio-inspired neuromorphic …

Neuromorphic systems consisting of artificial neurons and synapses can process complex
information with high efficiency to overcome the bottleneck of von Neumann architecture …

Oscillatory neural networks based on insulator to metal transition of VO 2 switches are
implemented for image recognition. The VO 2 oscillators are fabricated on silicon in a CMOS …

Neuromorphic computing using neural network hardware has attracted significant interest as
it promises improved performance at low power for data-intensive error-resilient graphical …