Mathematical Modelling of the Human Brain II: From Glymphatics to Deep Learning
暫譯: 人腦數學建模 II:從腦淋巴系統到深度學習
Dokken, Jørgen S., Mardal, Kent-Andre, Rognes, Marie E.
- 出版商: Springer
- 出版日期: 2025-12-11
- 售價: $1,800
- 貴賓價: 9.5 折 $1,710
- 語言: 英文
- 頁數: 150
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3032006783
- ISBN-13: 9783032006783
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相關分類:
工程數學 Engineering-mathematics
海外代購書籍(需單獨結帳)
相關主題
商品描述
This open access book revolves around predictive mathematical modelling and simulation of brain multiphysics with an emphasis on cerebrospinal fluid flow and solute transport in and around the human brain. The book consists of 10 self-contained and relatively short chapters, each offering a rapid introduction to a key problem or topic, supported by open source software. Readers will gain insights into state-of-the-art mathematical tools and techniques for modelling and simulation of brain multiphysics ranging from classical finite element approaches, network-based modelling techniques and deep neural networks. The target audiences are researchers in applied mathematics, scientific computing, biophysics, bioengineering or computational neuroscience interested in a compact introduction to image-based computational modeling of brain multiphysics and cutting-edge available tools.
商品描述(中文翻譯)
這本開放存取的書籍圍繞著大腦多物理場的預測數學建模與模擬,重點在於腦脊髓液流動及其周圍的溶質運輸。該書由10個獨立且相對簡短的章節組成,每個章節都提供了對一個關鍵問題或主題的快速介紹,並輔以開源軟體。讀者將深入了解最先進的數學工具和技術,用於大腦多物理場的建模與模擬,涵蓋從經典有限元素方法、基於網絡的建模技術到深度神經網絡。目標讀者為應用數學、科學計算、生物物理學、生物工程或計算神經科學的研究人員,對於大腦多物理場的影像基礎計算建模及前沿可用工具感興趣的讀者。