Meysam Hashemi
Meysam Hashemi
Institut de Neurosciences des Systèmes Aix-Marseille Université
Verified email at - Homepage
Cited by
Cited by
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 85 (2), 021917, 2012
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Brain modelling as a service: the virtual brain on EBRAINS
M Schirner, L Domide, D Perdikis, P Triebkorn, L Stefanovski, R Pai, ...
arXiv preprint arXiv:2102.05888, 2021
How to render Neural Fields more realistic
A Hutt, M Hashemi, PB Graben
Validating Neuro-Computational Models of Neurological and Psychiatric …, 2015
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
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
A thalamacortical feedback model to explain EEG during anesthesia
M Hashemi, A Hutt
Selforganization in Complex Systems: The Past, Present, and Future of …, 2015
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