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Role of delay-times in delay-based photonic reservoir computing
Delay-based reservoir computing has gained a lot of attention due to the relative simplicity
with which this concept can be implemented in hardware. However, unnecessary constraints …
with which this concept can be implemented in hardware. However, unnecessary constraints …
Photonic neuromorphic technologies in optical communications
Abstract Machine learning (ML) and neuromorphic computing have been enforcing problem-
solving in many applications. Such approaches found fertile ground in optical …
solving in many applications. Such approaches found fertile ground in optical …
Deep photonic reservoir computing recurrent network
Deep neural networks usually process information through multiple hidden layers. However,
most hardware reservoir computing recurrent networks only have one hidden reservoir …
most hardware reservoir computing recurrent networks only have one hidden reservoir …
Parallel and deep reservoir computing using semiconductor lasers with optical feedback
H Hasegawa, K Kanno, A Uchida - Nanophotonics, 2023 - degruyter.com
Photonic reservoir computing has been intensively investigated to solve machine learning
tasks effectively. A simple learning procedure of output weights is used for reservoir …
tasks effectively. A simple learning procedure of output weights is used for reservoir …
Deriving task specific performance from the information processing capacity of a reservoir computer
In the reservoir computing literature, the information processing capacity is frequently used
to characterize the computing capabilities of a reservoir. However, it remains unclear how …
to characterize the computing capabilities of a reservoir. However, it remains unclear how …
Reducing reservoir computer hyperparameter dependence by external timescale tailoring
Task specific hyperparameter tuning in reservoir computing is an open issue, and is of
particular relevance for hardware implemented reservoirs. We investigate the influence of …
particular relevance for hardware implemented reservoirs. We investigate the influence of …
Photonic deep residual time-delay reservoir computing
Time-delay reservoir computing (TDRC) represents a simplified variant of recurrent neural
networks, employing a nonlinear node with a feedback mechanism to construct virtual …
networks, employing a nonlinear node with a feedback mechanism to construct virtual …
Hybrid parallel photonic reservoir computing with accelerated data processing speed
Reservoir computing is a bio-inspired approach especially suited for processing time-
dependent information. In this work, we propose a hybrid reservoir computing scheme …
dependent information. In this work, we propose a hybrid reservoir computing scheme …
Secure communication via chaotic synchronization based on reservoir computing
J Liu, J Zhang, Y Wang - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
Information security occupies a very important part of national security. Chaos
communication can provide high-level physical layer security, but its harsh claims on the …
communication can provide high-level physical layer security, but its harsh claims on the …
Asynchronous photonic time-delay reservoir computing
Time-delay reservoir computing uses a nonlinear node associated with a feedback loop to
construct a large number of virtual neurons in the neural network. The clock cycle of the …
construct a large number of virtual neurons in the neural network. The clock cycle of the …