Advanced search
2 files | 257.58 KB Add to list

Photonic reservoir computing: a brain-inspired approach for information processing (invited paper)

Peter Bienstman (UGent) , Joni Dambre (UGent) , Andrew Katumba (UGent) , Matthias Freiberger (UGent) , Floris Laporte (UGent) and Alessio Lugnan (UGent)
Author
Organization
Project
Center for nano- and biophotonics (NB-Photonics)
Project
PHRESCO (PHotonic REServoir COmputing)
Abstract
We present our latest results on silicon photonics neuromorphic information processing based on techniques like reservoir computing. We will discuss aspects like scalability, novel architectures for enhanced power efficiency, as well as all-optical readout. Additionally, we will touch upon new machine learning techniques to operate these integrated readouts.

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 128.78 KB
  • pub 2179a.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 128.80 KB

Citation

Please use this url to cite or link to this publication:

MLA
Bienstman, Peter, Joni Dambre, Andrew Katumba, et al. “Photonic Reservoir Computing: a Brain-inspired Approach for Information Processing (invited Paper).” 2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC). New york: Ieee, 2018. 1–3. Print.
APA
Bienstman, Peter, Dambre, J., Katumba, A., Freiberger, M., Laporte, F., & Lugnan, A. (2018). Photonic reservoir computing: a brain-inspired approach for information processing (invited paper). 2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC) (pp. 1–3). Presented at the Optical Fiber Communications Conference and Exposition (OFC), New york: Ieee.
Chicago author-date
Bienstman, Peter, Joni Dambre, Andrew Katumba, Matthias Freiberger, Floris Laporte, and Alessio Lugnan. 2018. “Photonic Reservoir Computing: a Brain-inspired Approach for Information Processing (invited Paper).” In 2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC), 1–3. New york: Ieee.
Chicago author-date (all authors)
Bienstman, Peter, Joni Dambre, Andrew Katumba, Matthias Freiberger, Floris Laporte, and Alessio Lugnan. 2018. “Photonic Reservoir Computing: a Brain-inspired Approach for Information Processing (invited Paper).” In 2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC), 1–3. New york: Ieee.
Vancouver
1.
Bienstman P, Dambre J, Katumba A, Freiberger M, Laporte F, Lugnan A. Photonic reservoir computing: a brain-inspired approach for information processing (invited paper). 2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC). New york: Ieee; 2018. p. 1–3.
IEEE
[1]
P. Bienstman, J. Dambre, A. Katumba, M. Freiberger, F. Laporte, and A. Lugnan, “Photonic reservoir computing: a brain-inspired approach for information processing (invited paper),” in 2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC), San Diego, CA, 2018, pp. 1–3.
@inproceedings{8578417,
  abstract     = {We present our latest results on silicon photonics neuromorphic information processing based on techniques like reservoir computing. We will discuss aspects like scalability, novel architectures for enhanced power efficiency, as well as all-optical readout. Additionally, we will touch upon new machine learning techniques to operate these integrated readouts.},
  author       = {Bienstman, Peter and Dambre, Joni and Katumba, Andrew and Freiberger, Matthias and Laporte, Floris and Lugnan, Alessio},
  booktitle    = {2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC)},
  isbn         = {978-1-943580-38-5},
  language     = {eng},
  location     = {San Diego, CA},
  pages        = {1--3},
  publisher    = {Ieee},
  title        = {Photonic reservoir computing: a brain-inspired approach for information processing (invited paper)},
  year         = {2018},
}

Web of Science
Times cited: