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Titlebook: Computational Modelling of the Brain; Modelling Approaches Michele Giugliano,Mario Negrello,Daniele Linaro Book 2022 Springer Nature Switze

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發(fā)表于 2025-3-21 16:24:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Modelling of the Brain
副標(biāo)題Modelling Approaches
編輯Michele Giugliano,Mario Negrello,Daniele Linaro
視頻videohttp://file.papertrans.cn/233/232836/232836.mp4
概述Offers an up-to-date overview of concepts and modern approaches in computational modelling.Discusses computational models from single molecule and cellular levels to circuits and networks.Aimed at neu
叢書名稱Advances in Experimental Medicine and Biology
圖書封面Titlebook: Computational Modelling of the Brain; Modelling Approaches Michele Giugliano,Mario Negrello,Daniele Linaro Book 2022 Springer Nature Switze
描述.This volume offers an up-to-date overview of essential concepts and modern approaches to computational modelling, including the use of experimental techniques related to or directly inspired by them. The book introduces, at increasing levels of complexity and with the non-specialist in mind, state-of-the-art topics ranging from single-cell and molecular descriptions to circuits and networks..Four major themes are covered, including subcellular modelling of ion channels and signalling pathways at the molecular level, single-cell modelling at different levels of spatial complexity, network modelling from local microcircuits to large-scale simulations of entire brain areas and practical examples. Each chapter presents a systematic overview of a specific topic and provides the reader with the fundamental tools needed to understand the computational modelling of neural dynamics...This book is aimed at experimenters and graduate students with little or no prior knowledge of modelling who are interested in learning about computational models from the single molecule to the inter-areal communication of brain structures. The book will appeal to computational neuroscientists, engineers, phy
出版日期Book 2022
關(guān)鍵詞Computational Neuroscience; Ion Channels; Mathematical Models; Neurons; Simulation; Spiking Neural Networ
版次1
doihttps://doi.org/10.1007/978-3-030-89439-9
isbn_softcover978-3-030-89441-2
isbn_ebook978-3-030-89439-9Series ISSN 0065-2598 Series E-ISSN 2214-8019
issn_series 0065-2598
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

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Advances in Experimental Medicine and Biologyhttp://image.papertrans.cn/c/image/232836.jpg
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Computational Modelling of the Brain978-3-030-89439-9Series ISSN 0065-2598 Series E-ISSN 2214-8019
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發(fā)表于 2025-3-22 07:51:57 | 只看該作者
https://doi.org/10.1007/b138114This chapter gives a short overview of computational models dealing with two fundamental building blocks in spatial cognition: grid and place cells, and of the open issues such models may help address.
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Challenges for Place and Grid Cell ModelsThis chapter gives a short overview of computational models dealing with two fundamental building blocks in spatial cognition: grid and place cells, and of the open issues such models may help address.
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