Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Microstructure, mechanical properties and in-vitro performance of superelastic nitinol stents produced by μ-LPBF.

Biomaterials advances·2026
Same author

A health ecological model study of subjective cognitive decline among hypertensive patients in rural Shanxi, China.

Scientific reports·2026
Same author

Tunable Surface Chemistry of Molten Salt Derived MXenes for Data-Driven Electrochemical Materials Discovery.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Burden and Future Trends of Atopic Dermatitis in the Pediatric Population Aged 19 Years or Younger in 5 East Asian Countries, 1990-2040: A Longitudinal Analysis for the Global Burden of Disease Study 2023.

Dermatitis : contact, atopic, occupational, drug·2026
Same author

Synergistic near-infrared photothermal and electrical stimulation of MgMOF/black phosphorus-reinforced conductive organohydrogels for integrated diagnosis-therapy-repair of complex wounds.

Biomaterials advances·2026
Same author

Targeted Etching Strategy to Expand Low-Voltage Plateau of Pitch-Based Hard Carbon for Sodium Storage.

ACS applied materials & interfaces·2026

Related Experiment Video

Updated: Sep 11, 2025

Multi-Fiber Photometry to Record Neural Activity in Freely-Moving Animals
05:52

Multi-Fiber Photometry to Record Neural Activity in Freely-Moving Animals

Published on: October 20, 2019

36.7K

Optical pulse subtractor for fiber neural networks.

Yubin Zang, Yankai Gu, Zhipeng Lin

    Applied Optics
    |August 12, 2025
    PubMed
    Summary

    A new optical pulse subtractor enables nonlinear activation and layer cascading in fiber neural networks. This innovation addresses challenges in negative weight modulation for advanced optical computing.

    Area of Science:

    • Photonics
    • Optical Computing
    • Artificial Neural Networks

    Background:

    • Negative weight modulation presents a significant challenge in developing fiber neural networks.
    • Current fiber neural network architectures struggle with optical insertion of nonlinear activation modules and layer cascading due to reliance on electronic subtraction.
    • Existing methods require complex electronic processing, limiting the potential for fully optical deep learning.

    Purpose of the Study:

    • To propose and demonstrate a novel optical pulse subtractor for fiber neural networks.
    • To overcome limitations in optical nonlinear activation and layer cascading.
    • To facilitate the construction of deep fiber neural networks.

    Main Methods:

    • Development of a novel optical pulse subtractor utilizing a tunable attenuator, beam splitter, and photo-diode.

    More Related Videos

    Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
    14:18

    Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

    Published on: February 28, 2016

    11.5K
    Implementation of a Reference Interferometer for Nanodetection
    16:11

    Implementation of a Reference Interferometer for Nanodetection

    Published on: April 26, 2014

    9.5K

    Related Experiment Videos

    Last Updated: Sep 11, 2025

    Multi-Fiber Photometry to Record Neural Activity in Freely-Moving Animals
    05:52

    Multi-Fiber Photometry to Record Neural Activity in Freely-Moving Animals

    Published on: October 20, 2019

    36.7K
    Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
    14:18

    Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

    Published on: February 28, 2016

    11.5K
    Implementation of a Reference Interferometer for Nanodetection
    16:11

    Implementation of a Reference Interferometer for Nanodetection

    Published on: April 26, 2014

    9.5K
  • Demonstration of the optical pulse subtractor's capability to perform optical pulse subtraction.
  • Integration of nonlinear activation function directly within the optical subtraction process.

    • Main Results:

    • Successfully demonstrated an optical pulse subtractor capable of performing subtraction operations optically.
    • Enabled optical nonlinear activation, a key function for deep learning models.
    • The proposed device functions as a powerful tool for deep fiber neural network construction.

    Conclusions:

    • The developed optical pulse subtractor effectively addresses the challenge of negative weight modulation in fiber neural networks.
    • This technology paves the way for fully optical deep fiber neural networks by enabling optical nonlinear activation and layer cascading.
    • The novel optical pulse subtractor is a significant advancement for optical computing and artificial intelligence.