How the cortico-thalamic feedback affects the EEG power spectrum over frontal and occipital regions during propofol-induced sedation. - Meysam Hashemi; Axel Hutt; Jamie W. Sleigh (J. Comput. Neurosci., 2015)

Analytical and numerical studies of thalamo-cortical neural populationmodels during general anesthesia. (Modelisation mathematique et simulation numerique de populations neuronales thalamo-corticales dans le contexte de l'anesthesie generale). - Meysam Hashemi (2016)

Optimal Model Parameter Estimation from EEG Power Spectrum Features Observed during General Anesthesia. - Meysam Hashemi; Axel Hutt; Laure Buhry; Jamie W. Sleigh (Neuroinformatics, 2018)

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)

Brain Modelling as a Service: The Virtual Brain on EBRAINS. - Michael Schirner; Lia Domide; Dionysios Perdikis; Paul Triebkorn; Leon Stefanovski; Roopa Pai; Paula Popa; Bogdan Valean; Jessica Palmer; Chloê Langford; André Blickensdörfer; Michiel van der Vlag; et al. (CoRR, 2021)

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)

Brain simulation as a cloud service: The Virtual Brain on EBRAINS. - Michael Schirner; Lia Domide; Dionysios Perdikis; Paul Triebkorn; Leon Stefanovski; Roopa Pai; Paula Prodan; Bogdan Valean; Jessica Palmer; Chloê Langford; André Blickensdörfer; Michiel van der Vlag; et al. (NeuroImage, 2022)

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)

Hierarchical Bayesian pharmacometrics analysis of Baclofen for alcohol use disorder. - Nina Baldy; Nicolas Simon; Viktor K. Jirsa; Meysam Hashemi (Mach. Learn. Sci. Technol., 2023)

The virtual aging brain: Causal inference supports interhemispheric dedifferentiation in healthy aging. - Mario Lavanga; Johanna Stumme; Bahar Hazal Yalçinkaya; Jan Fousek; Christiane Jockwitz; Hiba Sheheitli; Nora Bittner; Meysam Hashemi; Spase Petkoski; Svenja Caspers; Viktor K. Jirsa (NeuroImage, 2023)

Simulation-based inference on virtual brain models of disorders. - Meysam Hashemi; Abolfazl Ziaeemehr; Michael Marmaduke Woodman; Jan Fousek; Spase Petkoski; Viktor K. Jirsa (Mach. Learn. Sci. Technol., 2024)

Parameter estimation in a whole-brain network model of epilepsy: Comparison of parallel global optimization solvers. - David R. Penas; Meysam Hashemi; Viktor K. Jirsa; Julio R. Banga (PLoS Comput. Biol., 2024)