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

Neuromorphic computing has been attracting ever‐increasing attention due to superior
energy efficiency, with great promise to promote the next wave of artificial general …

Neurons in the brain behave as nonlinear oscillators, which develop rhythmic activity and
interact to process information. Taking inspiration from this behaviour to realize high-density …

Bioinspired hardware holds the promise of low-energy, intelligent, and highly adaptable
computing systems. Applications span from automatic classification for big data …

Spintronics has been recently extended to neuromorphic computing because of its energy
efficiency and scalability. However, a biorealistic spintronic neuron with probabilistic …

The mutual synchronization of spin-torque oscillators (STOs) is critical for communication,
energy harvesting and neuromorphic applications. Short range magnetic coupling-based …

Present day computers expend orders of magnitude more computational resources to
perform various cognitive and perception related tasks that humans routinely perform every …

As we approach the end of the silicon road map, alternative computing models that can
solve at-scale problems in the data-centric world are becoming important. This is …

Spin-torque nano-oscillators can emulate neurons at the nanoscale. Recent works show that
the non-linearity of their oscillation amplitude can be leveraged to achieve waveform …

Although the structure and function of the human brain are still far from being fully
understood, brain‐inspired computing architectures mainly consisting of artificial neurons …