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Computational and network modeling of neuroimaging data / edited by Kendrick Kay.
- Format:
- Book
- Series:
- Neuroimaging methods and applications series.
- Neuroimaging methods and applications series
- Language:
- English
- Subjects (All):
- Brain--Models.
- Brain.
- Physical Description:
- 1 online resource
- Place of Publication:
- London, United Kingdom : San Diego, CA : Academic Press, [2024]
- Contents:
- Statistical modeling: Harnessing uncertainty and variation in neuroimaging data / Martin A. Lindquist
- Sensory modeling: understanding computation in sensory systems through image-computable models / Zvi N. Roth, Elisha P. Merriam, Tomas Knapen
- Cognitive modeling: Joint models use cognitive theory to understand brain activations / Brandon M. Turner
- Network modeling: the explanatory power of activity flow models of brain function / Michael W. Cole
- Biophysical modeling: an approach for understanding the physiological fingerprint of the BOLD fMRI signal / Mario Gilberto Báez-Yáñez, Natalia Petridou
- Biophysical modeling: multicompartment biophysical models for brain tissue microstructure imaging / H. Farooq, P.K. Pisharady, C. Lenglet
- Dynamic brain network models: how interactions in the structural connectome shape brain dynamics / Joana Cabral, John D. Griffiths
- Neural graph modeling / Stephen Još Hanson, Catherine Hanson
- Machine learning and neuroimaging: understanding the human brain in health and disease / Zijin Gu, Keith W. Jamison, Amy Kuceyeski
- Decoding models: from brain representation to machine interfaces / Yu Takagi, Shinji Nishimoto
- Normative modeling for clinical neuroscience / Andre Marquand, Saige Rutherford, Thomas Wolfers.
- Notes:
- Includes bibliographical references and index.
- Electronic reproduction. Amsterdam Available via World Wide Web.
- ISBN:
- 9780443134814
- 0443134812
- Publisher Number:
- 90100503467
- Access Restriction:
- Restricted for use by site license.
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