Literature DB >> 29519086

Conditions for reservoir computing performance using semiconductor lasers with delayed optical feedback.

Julián Bueno, Daniel Brunner, Miguel C Soriano, Ingo Fischer.   

Abstract

Photonic implementations of reservoir computing (RC) have been receiving considerable attention due to their excellent performance, hardware, and energy efficiency as well as their speed. Here, we study a particularly attractive all-optical system using optical information injection into a semiconductor laser with delayed feedback. We connect its injection locking, consistency, and memory properties to the RC performance in a non-linear prediction task. We find that for partial injection locking we achieve a good combination of consistency and memory. Therefore, we are able to provide a physical basis identifying operational parameters suitable for prediction.

Year:  2017        PMID: 29519086     DOI: 10.1364/OE.25.002401

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  3 in total

Review 1.  Phase response approaches to neural activity models with distributed delay.

Authors:  Marius Winkler; Grégory Dumont; Eckehard Schöll; Boris Gutkin
Journal:  Biol Cybern       Date:  2021-12-02       Impact factor: 2.086

2.  Photonic machine learning implementation for signal recovery in optical communications.

Authors:  Apostolos Argyris; Julián Bueno; Ingo Fischer
Journal:  Sci Rep       Date:  2018-05-31       Impact factor: 4.379

3.  Ultrafast neuromorphic photonic image processing with a VCSEL neuron.

Authors:  Joshua Robertson; Paul Kirkland; Juan Arturo Alanis; Matěj Hejda; Julián Bueno; Gaetano Di Caterina; Antonio Hurtado
Journal:  Sci Rep       Date:  2022-03-22       Impact factor: 4.379

  3 in total

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