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oapen-20.500.12657-851002023-11-15T09:17:26Z Photonic Neural Networks with Spatiotemporal Dynamics Suzuki, Hideyuki Tanida, Jun Hashimoto, Masanori photonic neural network spatiotemporal dynamics optical computing nonlinear dynamics fluorescence energy transfer Ising machine reservoir computing bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence bic Book Industry Communication::P Mathematics & science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling bic Book Industry Communication::P Mathematics & science::PB Mathematics::PBW Applied mathematics::PBWR Nonlinear science 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 mathematical science, information photonics, and integrated systems engineering. This book offers novel multidisciplinary viewpoints on photonic neural networks, illustrating recent advances in three types of computing methodologies: fluorescence energy transfer computing, spatial-photonic spin system, and photonic reservoir computing. The book consists of four parts: Part I introduces the backgrounds of optical computing and neural network dynamics; Part II presents fluorescence energy transfer computing, a novel computing technology based on nanoscale networks of fluorescent particles; Parts III and IV review the models and implementation of spatial-photonic spin systems and photonic reservoir computing, respectively. These contents are beneficial to researchers in a broad range of fields, including information science, mathematical science, applied physics, and engineering, to better understand the novel computing concepts of photonic neural networks with spatiotemporal dynamics. 2023-11-13T16:42:49Z 2023-11-13T16:42:49Z 2024 book ONIX_20231113_9789819950720_44 9789819950720 9789819950713 https://library.oapen.org/handle/20.500.12657/85100 eng application/pdf n/a 978-981-99-5072-0.pdf https://link.springer.com/978-981-99-5072-0 Springer Nature Springer Nature Singapore 10.1007/978-981-99-5072-0 10.1007/978-981-99-5072-0 6c6992af-b843-4f46-859c-f6e9998e40d5 1f0de1ea-9a4f-46d5-a9ca-5bbc3290d8fe 9789819950720 9789819950713 Springer Nature Singapore 278 Singapore [...] Japan Science and Technology Agency 国立研究開発法人科学技術振興機構 open access
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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 mathematical science, information photonics, and integrated systems engineering. This book offers novel multidisciplinary viewpoints on photonic neural networks, illustrating recent advances in three types of computing methodologies: fluorescence energy transfer computing, spatial-photonic spin system, and photonic reservoir computing. The book consists of four parts: Part I introduces the backgrounds of optical computing and neural network dynamics; Part II presents fluorescence energy transfer computing, a novel computing technology based on nanoscale networks of fluorescent particles; Parts III and IV review the models and implementation of spatial-photonic spin systems and photonic reservoir computing, respectively. These contents are beneficial to researchers in a broad range of fields, including information science, mathematical science, applied physics, and engineering, to better understand the novel computing concepts of photonic neural networks with spatiotemporal dynamics.
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