Photonic Neural Networks with Spatiotemporal Dynamics : : Paradigms of Computing and Implementation / / edited by Hideyuki Suzuki, Jun Tanida, Masanori Hashimoto.
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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| Place / Publishing House: | Singapore : : Springer Nature Singapore :, Imprint: Springer,, 2024. |
| Year of Publication: | 2024 |
| Edition: | 1st ed. 2024. |
| Language: | English |
| Physical Description: | 1 online resource (277 pages) |
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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.