Oscillatory neural network (ONN) is an emerging neuromorphic architecture composed of
oscillators that implement neurons and are coupled by synapses. ONNs exhibit rich …

Ising machines have received growing interest as efficient and hardware-friendly solvers for
combinatorial optimization problems (COPs). They search for the absolute or approximate …

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 …

Oscillatory Neural Network (ONN) is an emerging neuromorphic architecture with oscillators
representing neurons and information encoded in oscillator's phase relations. In an ONN …

Computing paradigm based on von Neuman architectures cannot keep up with the ever-
increasing data growth (also called “data deluge gap”). This has resulted in investigating …

Oscillatory Neural Networks (ONNs) are currently arousing interest in the research
community for their potential to implement very fast, ultra-low-power computing tasks by …

Networks of coupled oscillators have far-reaching implications across various fields,
providing insights into a plethora of dynamics. This review offers an in-depth overview of …

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 …

Nano-oscillators based on phase-transition materials are being explored for the
implementation of different non-conventional computing paradigms. In particular, vanadium …