Reinforcement learning in artificial and biological systems
EO Neftci, BB Averbeck - Nature Machine Intelligence, 2019 - nature.com
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 …
biological and artificial systems. Much early work that led to the development of …
[HTML][HTML] Progress in neuromorphic photonics
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 …
information with increasing speed and versatility. Many believe that the one-size-fits-all …
A survey of neuromorphic computing and neural networks in hardware
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 …
and models that contrast the pervasive von Neumann computer architecture. This …
[HTML][HTML] Neuromorphic photonic networks using silicon photonic weight banks
Photonic systems for high-performance information processing have attracted renewed
interest. Neuromorphic silicon photonics has the potential to integrate processing functions …
interest. Neuromorphic silicon photonics has the potential to integrate processing functions …
Silicon photonic modulator neuron
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 …
pivotal and unexplored regimes of machine intelligence. Progress has been made on …
[图书][B] Neuromorphic photonics
PR Prucnal, BJ Shastri - 2017 - taylorfrancis.com
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" …
neural networks, providing a comprehensive overview of the emerging field of" …
[HTML][HTML] Demonstrating advantages of neuromorphic computation: a pilot study
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 …
dynamics with the aim of replicating its hallmark functional capabilities in terms of …
Feedback control for microring weight banks
Microring weight banks present novel opportunities for reconfigurable, high-performance
analog signal processing in photonics. Controlling microring filter response is a challenge …
analog signal processing in photonics. Controlling microring filter response is a challenge …
Demonstrating hybrid learning in a flexible neuromorphic hardware system
S Friedmann, J Schemmel, A Grübl… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
We present results from a new approach to learning and plasticity in neuromorphic
hardware systems: to enable flexibility in implementable learning mechanisms while …
hardware systems: to enable flexibility in implementable learning mechanisms while …
Demonstration of WDM weighted addition for principal component analysis
We consider an optical technique for performing tunable weighted addition using
wavelength-division multiplexed (WDM) inputs, the enabling function of a recently proposed …
wavelength-division multiplexed (WDM) inputs, the enabling function of a recently proposed …