Emergent Self‐Adaptation in an Integrated Photonic Neural Network for Backpropagation‐Free Learning

Emergent Self‐Adaptation in an Integrated Photonic Neural Network for Backpropagation‐Free Learning

Abstract Plastic self‐adaptation, nonlinear recurrent dynamics and multi‐scale memory are desired features in hardware implementations of neural networks, because they enable them to learn, adapt, and process information similarly to the way biological brains do. In this work, these properties occur...

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Bibliographic Details
Main Authors: Alessio Lugnan, Samarth Aggarwal, Frank Brückerhoff‐Plückelmann, C. David Wright, Wolfram H. P. Pernice, Harish Bhaskaran, Peter Bienstman
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Advanced Science
Subjects:
neuromorphic computing
machine learning
phase change materials
reservoir computing
self‐adapting systems
silicon photonics
Online Access:https://doi.org/10.1002/advs.202404920
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