Photonic Neural Networks with Spatiotemporal Dynamics
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...
Sábháilte in:
| Formáid: | Online |
|---|---|
| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
Springer Nature
2023
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| Ábhair: | |
| Rochtain ar líne: | ONIX_20231113_9789819950720_44 |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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| _version_ | 1869525380842389504 |
|---|---|
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-122251 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1222512025-03-23T06:06:11Z 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 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. 2023-11-17T09:53:43Z 2023-11-17T09:53:43Z 2023-11-13T16:42:49Z 2024 book ONIX_20231113_9789819950720_44 OCN: 1405405544 https://library.oapen.org/handle/20.500.12657/85100 9789819950720 9789819950713 https://directory.doabooks.org/handle/20.500.12854/122251 eng open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/85100/1/978-981-99-5072-0.pdf https://library.oapen.org/bitstream/20.500.12657/85100/1/978-981-99-5072-0.pdf https://library.oapen.org/bitstream/20.500.12657/85100/1/978-981-99-5072-0.pdf Springer Nature Springer Nature Singapore 10.1007/978-981-99-5072-0 10.1007/978-981-99-5072-0 9fa3421d-f917-4153-b9ab-fc337c396b5a Japan Science and Technology Agency 1f0de1ea-9a4f-46d5-a9ca-5bbc3290d8fe 9789819950720 9789819950713 Springer Nature Singapore 278 Singapore [...] open access |
| spellingShingle | photonic neural network spatiotemporal dynamics optical computing nonlinear dynamics fluorescence energy transfer Ising machine reservoir computing Photonic Neural Networks with Spatiotemporal Dynamics |
| title | Photonic Neural Networks with Spatiotemporal Dynamics |
| title_full | Photonic Neural Networks with Spatiotemporal Dynamics |
| title_fullStr | Photonic Neural Networks with Spatiotemporal Dynamics |
| title_full_unstemmed | Photonic Neural Networks with Spatiotemporal Dynamics |
| title_short | Photonic Neural Networks with Spatiotemporal Dynamics |
| title_sort | photonic neural networks with spatiotemporal dynamics |
| topic | photonic neural network spatiotemporal dynamics optical computing nonlinear dynamics fluorescence energy transfer Ising machine reservoir computing |
| topic_facet | photonic neural network spatiotemporal dynamics optical computing nonlinear dynamics fluorescence energy transfer Ising machine reservoir computing |
| url | ONIX_20231113_9789819950720_44 |