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Titlebook: Solitonic Neural Networks; An Innovative Photon Alessandro Bile Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive

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發(fā)表于 2025-3-21 16:11:14 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Solitonic Neural Networks
副標(biāo)題An Innovative Photon
編輯Alessandro Bile
視頻videohttp://file.papertrans.cn/872/871676/871676.mp4
概述Presents an updated overview of hardware neuromorphic intelligence.Highlights technologies relevant in various areas of optics and photonic materials.Covers advancements in AI that are relevant to bot
叢書名稱Machine Intelligence for Materials Science
圖書封面Titlebook: Solitonic Neural Networks; An Innovative Photon Alessandro Bile Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive
描述.This book delves into optics and photonic materials, describing the development of an intelligent all-optical system capable of replicating the functional building blocks of the biological brain. Starting with an analysis of biological neuronal dynamics and traversing the state of the art of neuromorphic systems developed to date, the book arrives at a description of neural networks realized through spatial soliton technology..After a brief introduction to the biology of neural networks (Chapter 1), the book delves into the description of the neuromorphic?problem?emphasizing the peculiarities of optical hardware developed to date. (Chapter 2). Chapter 3 is dedicated to?the description of psychomemories , which represent the modeling of human learning according to the theories of modern neuro-psychology. This chapter provides the prerequisites for understanding how solitonic neural networks (SNNs) are able to learn and how they approach biological models.?Chapter 4 focuses on the experimentation of solitonic optic neurons in thin layers of lithium niobate.?Optical techniques for supervised and unsupervised learning are discussed. The entire chapter is accompanied by theoretical, si
出版日期Book 2024
關(guān)鍵詞photorefractive soliton; optical pyscho-memory; optical neuromorphics; optical neural network; nonlinear
版次1
doihttps://doi.org/10.1007/978-3-031-48655-5
isbn_softcover978-3-031-48657-9
isbn_ebook978-3-031-48655-5Series ISSN 2948-1813 Series E-ISSN 2948-1821
issn_series 2948-1813
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 23:52:51 | 只看該作者
https://doi.org/10.1007/978-3-031-48655-5photorefractive soliton; optical pyscho-memory; optical neuromorphics; optical neural network; nonlinear
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發(fā)表于 2025-3-22 00:43:57 | 只看該作者
Alessandro BilePresents an updated overview of hardware neuromorphic intelligence.Highlights technologies relevant in various areas of optics and photonic materials.Covers advancements in AI that are relevant to bot
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Towards Neuro-Learning Process: Pyschomemories,n, making it possible to constructexternal?knowledge?from external stimuli, which is then consolidated and recorded..Particular weight is given to episodic-type memory, which is the model mainly considered by the solitonic systems proposed in this manuscript.
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Book 2024rks (SNNs) are able to learn and how they approach biological models.?Chapter 4 focuses on the experimentation of solitonic optic neurons in thin layers of lithium niobate.?Optical techniques for supervised and unsupervised learning are discussed. The entire chapter is accompanied by theoretical, si
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2948-1813 the experimentation of solitonic optic neurons in thin layers of lithium niobate.?Optical techniques for supervised and unsupervised learning are discussed. The entire chapter is accompanied by theoretical, si978-3-031-48657-9978-3-031-48655-5Series ISSN 2948-1813 Series E-ISSN 2948-1821
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