Add to ORKGThe aim of our project will be to realise a high-speed all-optical implementation of a reservoir computer in integrated photonics.By using an optical cavity, the state of the neurons will be coded by temporal multiplexing in the amplitude of a coherentelectromagnetic field. Here we present the future implementations of our systems. We also report on the performances obtainedin simulation on some benchmark tasks, including the evaluation of the memory capacities.info:eu-repo/semantics/nonPublishe
Reservoir Computing is a novel computing paradigm which uses a nonlinear recurrent dynamical system ...
Reservoir computing is an analog bio-inspired computation model for efficiently processing time-depe...
Reservoir Computing is a novel computing paradigm that uses a nonlinear recurrent dynamical system t...
We present the first experimental implementation of a passive linear reservoir computer working in c...
We study a realistic numerical model of an autonomous all-optical neural network based on two cohere...
Reservoir computing is a recent bio-inspired approach for processing time-dependent signals. It has ...
We study numerically a realistic model of an original autonomous implementation of a photonic neural...
Reservoir computing is a brain-inspired approach for information processing, well suited to analog i...
We present an autonomous all-photonic experimental implementation of an artificial neural network ba...
In this thesis we study photonic computation within the framework of reservoir computing. Inspired b...
We review a novel paradigm that has emerged in analogue neuromorphic optical computing. The goal is ...
Reservoir computing (RC), a computational paradigm inspired on neural systems, has become increasing...
The idea of using photonic systems as reservoirs to perform general-purpose computing was first intr...
Reservoir Computing [1] is a new approach to study and use Neural Networks, which try to mimic a bra...
Photonic reservoir computing uses recent advances in machine learning, and in particular the reservo...
Reservoir Computing is a novel computing paradigm which uses a nonlinear recurrent dynamical system ...
Reservoir computing is an analog bio-inspired computation model for efficiently processing time-depe...
Reservoir Computing is a novel computing paradigm that uses a nonlinear recurrent dynamical system t...
We present the first experimental implementation of a passive linear reservoir computer working in c...
We study a realistic numerical model of an autonomous all-optical neural network based on two cohere...
Reservoir computing is a recent bio-inspired approach for processing time-dependent signals. It has ...
We study numerically a realistic model of an original autonomous implementation of a photonic neural...
Reservoir computing is a brain-inspired approach for information processing, well suited to analog i...
We present an autonomous all-photonic experimental implementation of an artificial neural network ba...
In this thesis we study photonic computation within the framework of reservoir computing. Inspired b...
We review a novel paradigm that has emerged in analogue neuromorphic optical computing. The goal is ...
Reservoir computing (RC), a computational paradigm inspired on neural systems, has become increasing...
The idea of using photonic systems as reservoirs to perform general-purpose computing was first intr...
Reservoir Computing [1] is a new approach to study and use Neural Networks, which try to mimic a bra...
Photonic reservoir computing uses recent advances in machine learning, and in particular the reservo...
Reservoir Computing is a novel computing paradigm which uses a nonlinear recurrent dynamical system ...
Reservoir computing is an analog bio-inspired computation model for efficiently processing time-depe...
Reservoir Computing is a novel computing paradigm that uses a nonlinear recurrent dynamical system t...