Computational and Network Modeling of Neuroimaging Data

Computational and Network Modeling of Neuroimaging Data provides an authoritative and comprehensive overview of diverse modeling approaches for neuroimaging data, suitable for graduate students, academic researchers, and industry practitioners. It emphasizes the importance of quantitative modeling for effective interpretation and extraction of information from complex data and synthesizes and integrates across different modeling approaches.

Format: Paperback / softback
Length: 354 pages
Publication date: 18 June 2024
Publisher: Elsevier Science Publishing Co Inc

Computational and Network Modeling of Neuroimaging Data offers a comprehensive and authoritative exploration of the various modeling techniques applied to neuroimaging data. With the exponential growth in the quantity and quality of neuroimaging data, this book serves as a valuable introduction to the field of computational neuroimaging, catering to graduate students, academic researchers, and industry practitioners interested in adopting or applying model-based approaches in neuroimaging. Recognizing the importance of quantitative modeling for effective interpretation and extraction of information from complex data, the book acknowledges the diverse nature of brain modeling, encompassing different research communities, spatial and temporal scales, and aspects of brain structure and function. By synthesizing and integrating various modeling approaches, the book contributes to a more comprehensive understanding of neuroimaging data.

Weight: 740g
Dimension: 191 x 234 x 21 (mm)
ISBN-13: 9780443134807