Computational and Network Modeling of Neuroimaging Data is popular PDF and ePub book, written by Kendrick Kay in 2024-06-17, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Computational and Network Modeling of Neuroimaging Data can be Read Online from any device for your convenience.
Computational and Network Modeling of Neuroimaging Data Book PDF Summary
Neuroimaging is witnessing a massive increase in the quality and quantity of data being acquired. It is widely recognized that effective interpretation and extraction of information from such data requires quantitative modeling. However, modeling comes in many diverse forms, with different research communities tackling different brain systems, different spatial and temporal scales, and different aspects of brain structure and function. Computational and Network Modeling of Neuroimaging Data provides an authoritative and comprehensive overview of the many diverse modeling approaches that have been fruitfully applied to neuroimaging data. This book gives an accessible foundation to the field of computational and network modeling of neuroimaging data and is suitable for graduate students, academic researchers, and industry practitioners who are interested in adopting or applying model-based approaches in neuroimaging. Provides an authoritative and comprehensive overview of major modeling approaches to neuroimaging data Written by experts, the book's chapters use a common structure to introduce, motivate, and describe a specific modeling approach used in neuroimaging Gives insights into the similarities and differences across different modeling approaches Analyses details of outstanding research challenges in the field
Detail Book of Computational and Network Modeling of Neuroimaging Data PDF
- Author : Kendrick Kay
- Release : 17 June 2024
- Publisher : Elsevier
- ISBN : 9780443134814
- Genre : Science
- Total Page : 356 pages
- Language : English
- PDF File Size : 15,5 Mb
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