[HTML][HTML] Recent advances in physical reservoir computing: A review
Reservoir computing is a computational framework suited for temporal/sequential data
processing. It is derived from several recurrent neural network models, including echo state …
processing. It is derived from several recurrent neural network models, including echo state …
Research progress in optical neural networks: theory, applications and developments
J Liu, Q Wu, X Sui, Q Chen, G Gu, L Wang, S Li - PhotoniX, 2021 - Springer
With the advent of the era of big data, artificial intelligence has attracted continuous attention
from all walks of life, and has been widely used in medical image analysis, molecular and …
from all walks of life, and has been widely used in medical image analysis, molecular and …
High-speed photonic reservoir computing using a time-delay-based architecture: Million words per second classification
L Larger, A Baylón-Fuentes, R Martinenghi… - Physical Review X, 2017 - APS
Reservoir computing, originally referred to as an echo state network or a liquid state
machine, is a brain-inspired paradigm for processing temporal information. It involves …
machine, is a brain-inspired paradigm for processing temporal information. It involves …
[HTML][HTML] Analog optical computing for artificial intelligence
The rapid development of artificial intelligence (AI) facilitates various applications from all
areas but also poses great challenges in its hardware implementation in terms of speed and …
areas but also poses great challenges in its hardware implementation in terms of speed and …
Learning function from structure in neuromorphic networks
The connection patterns of neural circuits in the brain form a complex network. Collective
signalling within the network manifests as patterned neural activity and is thought to support …
signalling within the network manifests as patterned neural activity and is thought to support …
Connectome-based reservoir computing with the conn2res toolbox
The connection patterns of neural circuits form a complex network. How signaling in these
circuits manifests as complex cognition and adaptive behaviour remains the central question …
circuits manifests as complex cognition and adaptive behaviour remains the central question …
Laser dynamical reservoir computing with consistency: an approach of a chaos mask signal
J Nakayama, K Kanno, A Uchida - Optics express, 2016 - opg.optica.org
We numerically investigate reservoir computing based on the consistency of a
semiconductor laser subjected to optical feedback and injection. We introduce a chaos mask …
semiconductor laser subjected to optical feedback and injection. We introduce a chaos mask …
Fully analogue photonic reservoir computer
Introduced a decade ago, reservoir computing is an efficient approach for signal processing.
State of the art capabilities have already been demonstrated with both computer simulations …
State of the art capabilities have already been demonstrated with both computer simulations …
High-performance photonic reservoir computer based on a coherently driven passive cavity
Q Vinckier, F Duport, A Smerieri, K Vandoorne… - Optica, 2015 - opg.optica.org
Reservoir computing is a recent bio-inspired approach for processing time-dependent
signals. It has enabled a breakthrough in analog information processing, with several …
signals. It has enabled a breakthrough in analog information processing, with several …
Reservoir computing based on a silicon microring and time multiplexing for binary and analog operations
Photonic implementations of reservoir computing (RC) promise to reach ultra-high
bandwidth of operation with moderate training efforts. Several optoelectronic demonstrations …
bandwidth of operation with moderate training efforts. Several optoelectronic demonstrations …