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...

Повний опис

Бібліографічні деталі
Автори: Alessio Lugnan, Samarth Aggarwal, Frank Brückerhoff‐Plückelmann, C. David Wright, Wolfram H. P. Pernice, Harish Bhaskaran, Peter Bienstman
Формат: Стаття
Мова:English
Опубліковано: Wiley 2025-01-01
Серія:Advanced Science
Предмети:
neuromorphic computing
machine learning
phase change materials
reservoir computing
self‐adapting systems
silicon photonics
Онлайн доступ:https://doi.org/10.1002/advs.202404920

Інтернет

https://doi.org/10.1002/advs.202404920

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