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Photonic Neural Networks with Spatiotemporal Dynamics

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Cover of 'Photonic Neural Networks with Spatiotemporal Dynamics'

Table of Contents

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    Book Overview
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    Chapter 1 Revival of Optical Computing
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    Chapter 2 Nonlinear Dynamics and Computing in Recurrent Neural Networks
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    Chapter 3 Fluorescence Energy Transfer Computing
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    Chapter 4 Quantum-Dot-Based Photonic Reservoir Computing
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    Chapter 5 Exploring Integrated Device Implementation for FRET-Based Optical Reservoir Computing
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    Chapter 6 FRET Networks: Modeling and Analysis for Computing
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    Chapter 7 Quantum Walk on FRET Networks
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    Chapter 8 Spatial Photonic Ising Machine with Time/Space Division Multiplexing
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    Chapter 9 Investigation on Oscillator-Based Ising Machines
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    Chapter 10 Sampling-Like Dynamics of the Nonlinear Dynamical System Combined with Optimization
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    Chapter 11 Reservoir Computing Based on Iterative Function Systems
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    Chapter 12 Bridging the Gap Between Reservoirs and Neural Networks
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    Chapter 13 Brain-Inspired Reservoir Computing Models
Attention for Chapter 2: Nonlinear Dynamics and Computing in Recurrent Neural Networks
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Chapter title
Nonlinear Dynamics and Computing in Recurrent Neural Networks
Chapter number 2
Book title
Photonic Neural Networks with Spatiotemporal Dynamics
Published by
Springer, Singapore, January 2024
DOI 10.1007/978-981-99-5072-0_2
Book ISBNs
978-9-81-995071-3, 978-9-81-995072-0
Authors

Suzuki, Hideyuki

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