Does the regulation of local excitation-inhibition balance aid in recovery of functional connectivity? A computational account. - Anirudh Nihalani Vattikonda; Bapi Raju Surampudi; Arpan Banerjee; Gustavo Deco; Dipanjan Roy (NeuroImage, 2016)

The Bayesian Virtual Epileptic Patient: A probabilistic framework designed to infer the spatial map of epileptogenicity in a personalized large-scale brain model of epilepsy spread. - Meysam Hashemi; Anirudh Nihalani Vattikonda; Viktor Sip; Maxime Guye; Fabrice Bartolomei; Michael Marmaduke Woodman; Viktor K. Jirsa (NeuroImage, 2020)

On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread. - Meysam Hashemi; Anirudh Nihalani Vattikonda; Viktor Sip; Sandra Diaz-Pier; Alexander Peyser; Huifang E. Wang; Maxime Guye; Fabrice Bartolomei; Michael Marmaduke Woodman; Viktor K. Jirsa (PLoS Comput. Biol., 2021)

Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography. - Viktor Sip; Meysam Hashemi; Anirudh Nihalani Vattikonda; Michael Marmaduke Woodman; Huifang E. Wang; Julia Scholly; Samuel Medina Villalon; Maxime Guye; Fabrice Bartolomei; Viktor K. Jirsa (PLoS Comput. Biol., 2021)

Fully Bayesian estimation of virtual brain parameters with self-tuning Hamiltonian Monte Carlo. - Jayant Jha; Meysam Hashemi; Anirudh Nihalani Vattikonda; Huifang E. Wang; Viktor K. Jirsa (Mach. Learn. Sci. Technol., 2022)

Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators. - Meysam Hashemi; Anirudh Nihalani Vattikonda; Jayant Jha; Viktor Sip; Michael Marmaduke Woodman; Fabrice Bartolomei; Viktor K. Jirsa (Neural Networks, 2023)