There is and has been a fruitful flow of concepts and ideas between studies of learning in
biological and artificial systems. Much early work that led to the development of …

As society's appetite for information continues to grow, so does our need to process this
information with increasing speed and versatility. Many believe that the one-size-fits-all …

Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …

Photonic systems for high-performance information processing have attracted renewed
interest. Neuromorphic silicon photonics has the potential to integrate processing functions …

There has been recent interest in neuromorphic photonics, a field with the promise to access
pivotal and unexplored regimes of machine intelligence. Progress has been made on …

This book sets out to build bridges between the domains of photonic device physics and
neural networks, providing a comprehensive overview of the emerging field of" …

Neuromorphic devices represent an attempt to mimic aspects of the brain's architecture and
dynamics with the aim of replicating its hallmark functional capabilities in terms of …

Microring weight banks present novel opportunities for reconfigurable, high-performance
analog signal processing in photonics. Controlling microring filter response is a challenge …

We present results from a new approach to learning and plasticity in neuromorphic
hardware systems: to enable flexibility in implementable learning mechanisms while …

We consider an optical technique for performing tunable weighted addition using
wavelength-division multiplexed (WDM) inputs, the enabling function of a recently proposed …