Photonic Neural Networks with Spatiotemporal Dynamics : Paradigms of Computing and Implementation /

This open access book presents an overview of recent advances in photonic neural networks with spatiotemporal dynamics. The computing and implementation paradigms presented in this book are outcomes of interdisciplinary studies by collaborative researchers from the three fields of nonlinear mathemat...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Suzuki, Hideyuki (Editor), Tanida, Jun (Editor), Hashimoto, Masanori (Editor)
Format:	eBook
Language:	English
Published:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edition:	1st ed. 2024.
Subjects:	Artificial intelligence. Neural networks (Computer science) . Nonlinear Optics. Artificial Intelligence. Mathematical Models of Cognitive Processes and Neural Networks. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Revival of Optical Computing
Nonlinear Dynamics of Recurrent Neural Networks for Computing
Fluorescence Energy Transfer Computing
Quantum-Dot Based Photonic Reservoir Computing
Exploring Integrated Device Implementation for FRET-based Optical Reservoir Computing
FRET Networks
Quantum Walk on FRET Networks
Spatial photonic Ising machine with time/space division multiplexing
Computing using Oscillatory Phenomena
Sampling-like Dynamics of the Nonlinear Dynamical System Combined with Optimization
Reservoir Computing Based on Iterative Function Systems
Bridging the Gap between Reservoirs and Neural Networks
Brain-Inspired Reservoir Computing Models.