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Anirudh Nihalani Vattikonda
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2020 – today
- 2023
- [j6]Meysam Hashemi
, Anirudh Nihalani Vattikonda, Jayant Jha
Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators. Neural Networks 163: 178-194 (2023) - 2022
- [j5]Jayant Jha
Fully Bayesian estimation of virtual brain parameters with self-tuning Hamiltonian Monte Carlo. Mach. Learn. Sci. Technol. 3(3): 35016 (2022) - 2021
- [j4]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:
Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography. PLoS Comput. Biol. 17(2) (2021) - [j3]Meysam Hashemi
On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread. PLoS Comput. Biol. 17(7) (2021) - 2020
- [j2]Meysam Hashemi, Anirudh Nihalani Vattikonda
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. NeuroImage 217: 116839 (2020)
2010 – 2019
- 2016
- [j1]Anirudh Nihalani Vattikonda
Does the regulation of local excitation-inhibition balance aid in recovery of functional connectivity? A computational account. NeuroImage 136: 57-67 (2016)
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