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

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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Detalles Bibliográficos
Autor principal: Suzuki, Hideyuki (-)
Otros Autores: Tanida, Jun, Hashimoto, Masanori
Formato: Libro electrónico
Idioma:Inglés
Publicado: Singapore : Springer Nature Singapore 2024.
Edición:1st ed. 2024.
Materias:
Artificial intelligence.
Neural networks (Computer science).
Nonlinear Optics.
Artificial Intelligence.
Mathematical Models of Cognitive Processes and Neural Networks.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009781193206719
Tabla de Contenidos:
  • 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.

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