| 書(shū)目名稱 | Computational Modelling of the Brain |
| 副標(biāo)題 | Modelling Approaches |
| 編輯 | Michele Giugliano,Mario Negrello,Daniele Linaro |
| 視頻video | http://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(shū)名稱 | Advances in Experimental Medicine and Biology |
| 圖書(shū)封面 |  |
| 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 |
| doi | https://doi.org/10.1007/978-3-030-89439-9 |
| isbn_softcover | 978-3-030-89441-2 |
| isbn_ebook | 978-3-030-89439-9Series ISSN 0065-2598 Series E-ISSN 2214-8019 |
| issn_series | 0065-2598 |
| copyright | Springer Nature Switzerland AG 2022 |
|Archiver|手機(jī)版|小黑屋|
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