| 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 M Hashemi, AN Vattikonda, V Sip, M Guye, F Bartolomei, MM Woodman, ... NeuroImage 217, 116839, 2020 | 115 | 2020 |
| Personalised virtual brain models in epilepsy V Jirsa, H Wang, P Triebkorn, M Hashemi, J Jha, J Gonzalez-Martinez, ... The Lancet Neurology 22 (5), 443-454, 2023 | 87 | 2023 |
| Effect of duration of synaptic activity on spike rate of a Hodgkin-Huxley neuron with delayed feedback M Hashemi, A Valizadeh, Y Azizi Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 85 (2 …, 2012 | 77 | 2012 |
| Brain simulation as a cloud service: The Virtual Brain on EBRAINS M Schirner, L Domide, D Perdikis, P Triebkorn, L Stefanovski, R Pai, ... NeuroImage 251, 118973, 2022 | 71 | 2022 |
| Delineating epileptogenic networks using brain imaging data and personalized modeling in drug-resistant epilepsy HE Wang, M Woodman, P Triebkorn, JD Lemarechal, J Jha, B Dollomaja, ... Science Translational Medicine 15 (680), eabp8982, 2023 | 65 | 2023 |
| Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics V Sip, M Hashemi, T Dickscheid, K Amunts, S Petkoski, V Jirsa Science Advances 9 (11), eabq7547, 2023 | 41 | 2023 |
| How the cortico-thalamic feedback affects the EEG power spectrum over frontal and occipital regions during propofol-induced sedation M Hashemi, A Hutt, J Sleigh J Comput Neurosci. 39 (2), 155-179, 2015 | 41 | 2015 |
| On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread M Hashemi, AN Vattikonda, V Sip, S Diaz-Pier, A Peyser, H Wang, ... PLoS computational biology 17 (7), e1009129, 2021 | 38 | 2021 |
| Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography V Sip, M Hashemi, AN Vattikonda, MM Woodman, H Wang, J Scholly, ... PLoS computational biology 17 (2), e1008689, 2021 | 37 | 2021 |
| Optimal model parameter estimation from EEG power spectrum features observed during general anesthesia M Hashemi, A Hutt, L Buhry, J Sleigh Neuroinformatics 16, 231-251, 2018 | 36 | 2018 |
| Anesthetic action on extra-synaptic receptors: effects in neural population models of EEG activity M Hashemi, A Hutt, J Sleigh Frontiers in systems neuroscience 8 (232), 2014 | 34 | 2014 |
| Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators M Hashemi, AN Vattikonda, J Jha, V Sip, MM Woodman, F Bartolomei, ... Neural Networks 163, 178-194, 2023 | 31 | 2023 |
| Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference AN Vattikonda, M Hashemi, V Sip, MM Woodman, F Bartolomei, VK Jirsa Communications biology 4 (1), 1244, 2021 | 30 | 2021 |
| Virtual brain twins: from basic neuroscience to clinical use HE Wang, P Triebkorn, M Breyton, B Dollomaja, JD Lemarechal, ... National Science Review 11 (5), nwae079, 2024 | 28 | 2024 |
| The virtual aging brain: Causal inference supports interhemispheric dedifferentiation in healthy aging M Lavanga, J Stumme, BH Yalcinkaya, J Fousek, C Jockwitz, H Sheheitli, ... NeuroImage 283, 120403, 2023 | 24 | 2023 |
| Fully Bayesian estimation of virtual brain parameters with self-tuning Hamiltonian Monte Carlo J Jha, M Hashemi, AN Vattikonda, H Wang, V Jirsa Machine Learning: Science and Technology 3 (3), 035016, 2022 | 21 | 2022 |
| Anesthetic action on the transmission delay between cortex and thalamus explains the beta-buzz observed under propofol anesthesia M Hashemi, A Hutt, D Hight, J Sleigh PLoS One 12 (6), e0179286, 2017 | 20 | 2017 |
| The virtual aging brain: a model-driven explanation for cognitive decline in older subjects M Lavanga, J Stumme, BH Yalcinkaya, J Fousek, C Jockwitz, H Sheheitli, ... bioRxiv, 2022.02. 17.480902, 2022 | 13 | 2022 |
| Simulation-based inference for whole-brain network modeling of epilepsy using deep neural density estimators M Hashemi, AN Vattikonda, J Jha, V Sip, MM Woodman, F Bartolomei, ... medRxiv, 2022.06. 02.22275860, 2022 | 12* | 2022 |
| ERBB4 gene polymorphisms and the risk of prostate cancer in a sample of Iranian Population M Hashemi, N Moradi, M Rezaei, S Sanaei, SAM Ziaee, B Narouie, ... Cellular and Molecular Biology 62 (10), 43-48, 2016 | 11 | 2016 |
Viktor JirsaDirector, Institut de Neurosciences des Systèmes (INS)univ-amu.fr üzerinde doğrulanmış e-posta adresine sahip
