Computational and network modeling of neuroimaging data / edited by Kendrick Kay.

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.