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Viktor K. Jirsa
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- affiliation: Florida Atlantic University, Center for Complex Systems & Brain Sciences
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2020 – today
- 2024
- [j74]Lionel Kusch
, Sandra Diaz-Pier, Wouter Klijn, Kim Sontheimer, Christophe Bernard, Abigail Morrison, Viktor K. Jirsa
Multiscale co-simulation design pattern for neuroscience applications. Frontiers Neuroinformatics 18 (2024) - [j73]Hiba Sheheitli
Incorporating slow NMDA-type receptors with nonlinear voltage-dependent magnesium block in a next generation neural mass model: derivation and dynamics. J. Comput. Neurosci. 52(3): 207-222 (2024) - 2023
- [j72]Claudio Runfola, Hiba Sheheitli, Fabrice Bartolomei, Huifang E. Wang
In pursuit of the epileptogenic zone in focal epilepsy: a dynamical network biomarker approach. Commun. Nonlinear Sci. Numer. Simul. 117: 106973 (2023) - [j71]Matthew P. Szuromi
Optimization of ictal aborting stimulation using the dynamotype taxonomy. J. Comput. Neurosci. 51(4): 445-462 (2023) - [j70]Nina Baldy
Hierarchical Bayesian pharmacometrics analysis of Baclofen for alcohol use disorder. Mach. Learn. Sci. Technol. 4(3): 35048 (2023) - [j69]Daniela Gandolfi
Full-scale scaffold model of the human hippocampus CA1 area. Nat. Comput. Sci. 3(3): 264-276 (2023) - [j68]Pierpaolo Sorrentino
Brain fingerprint is based on the aperiodic, scale-free, neuronal activity. NeuroImage 277: 120260 (2023) - [j67]Mario Lavanga, Johanna Stumme, Bahar Hazal Yalçinkaya, Jan Fousek
The virtual aging brain: Causal inference supports interhemispheric dedifferentiation in healthy aging. NeuroImage 283: 120403 (2023) - [j66]Meysam Hashemi
Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators. Neural Networks 163: 178-194 (2023) - [i2]Michiel van der Vlag, Lionel Kusch
Vast TVB parameter space exploration: A Modular Framework for Accelerating the Multi-Scale Simulation of Human Brain Dynamics. CoRR abs/2311.13337 (2023) - 2022
- [j65]Jennifer S. Goldman, Lionel Kusch
A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics. Frontiers Comput. Neurosci. 16 (2022) - [j64]Viktor Sip
Computational modeling of seizure spread on a cortical surface. J. Comput. Neurosci. 50(1): 17-31 (2022) - [j63]Damien Depannemaecker
A unified physiological framework of transitions between seizures, sustained ictal activity and depolarization block at the single neuron level. J. Comput. Neurosci. 50(1): 33-49 (2022) - [j62]Jayant Jha
Fully Bayesian estimation of virtual brain parameters with self-tuning Hamiltonian Monte Carlo. Mach. Learn. Sci. Technol. 3(3): 35016 (2022) - [j61]Sora An, Jan Fousek
High-resolution virtual brain modeling personalizes deep brain stimulation for treatment-resistant depression: Spatiotemporal response characteristics following stimulation of neural fiber pathways. NeuroImage 249: 118848 (2022) - [j60]Michael Schirner
Brain simulation as a cloud service: The Virtual Brain on EBRAINS. NeuroImage 251: 118973 (2022) - 2021
- [j59]Pierpaolo Sorrentino, Rosaria Rucco, Anna Lardone, Marianna Liparoti, Emahnuel Troisi Lopez
Clinical connectome fingerprints of cognitive decline. NeuroImage 238: 118253 (2021) - [j58]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) - [j57]Viktor Sip, Julia Scholly, Maxime Guye, Fabrice Bartolomei, Viktor K. Jirsa:
Evidence for spreading seizure as a cause of theta-alpha activity electrographic pattern in stereo-EEG seizure recordings. PLoS Comput. Biol. 17(2) (2021) - [j56]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) - [i1]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, Sandra Diaz-Pier, Alexander Peyser, Wouter Klijn, Dirk Pleiter, Anne Nahm, Oliver Schmid, Michael Marmaduke Woodman, Lyuba Zehl, Jan Fousek, Spase Petkoski, Lionel Kusch, Meysam Hashemi, Daniele Marinazzo, Jean-François Mangin, Agnes Flöel, Simisola Akintoye, Bernd Carsten Stahl, Michael Cepic, Emily Johnson, Anthony R. McIntosh, Claus C. Hilgetag, Marc Morgan, Bernd Schuller, Alex Upton, Colin McMurtrie, Timo Dickscheid
Brain Modelling as a Service: The Virtual Brain on EBRAINS. CoRR abs/2102.05888 (2021) - 2020
- [j55]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) - [j54]Diego Lombardo
Modular slowing of resting-state dynamic functional connectivity as a marker of cognitive dysfunction induced by sleep deprivation. NeuroImage 222: 117155 (2020) - [j53]Demian Battaglia, Thomas Boudou
Dynamic Functional Connectivity between order and randomness and its evolution across the human adult lifespan. NeuroImage 222: 117156 (2020)
2010 – 2019
- 2019
- [j52]Leon Stefanovski
Linking Molecular Pathways and Large-Scale Computational Modeling to Assess Candidate Disease Mechanisms and Pharmacodynamics in Alzheimer's Disease. Frontiers Comput. Neurosci. 13: 54 (2019) - [j51]Christian G. Bénar
Differences in MEG and EEG power-law scaling explained by a coupling between spatial coherence and frequency: a simulation study. J. Comput. Neurosci. 47(1): 31-41 (2019) - [j50]Simona Olmi
Controlling seizure propagation in large-scale brain networks. PLoS Comput. Biol. 15(2) (2019) - [j49]Sora An
Optimization of surgical intervention outside the epileptogenic zone in the Virtual Epileptic Patient (VEP). PLoS Comput. Biol. 15(6) (2019) - [j48]Francesca Melozzi, Eyal Bergmann
Individual structural features constrain the mouse functional connectome. Proc. Natl. Acad. Sci. USA 116(52): 26961-26969 (2019) - 2018
- [j47]Huifang E. Wang
MULAN: Evaluation and ensemble statistical inference for functional connectivity. NeuroImage 166: 167-184 (2018) - [j46]Spase Petkoski
Phase-lags in large scale brain synchronization: Methodological considerations and in-silico analysis. PLoS Comput. Biol. 14(7) (2018) - 2017
- [j45]Viktor K. Jirsa
The Virtual Epileptic Patient: Individualized whole-brain models of epilepsy spread. NeuroImage 145: 377-388 (2017) - [j44]Jonathan Wirsich
Complementary contributions of concurrent EEG and fMRI connectivity for predicting structural connectivity. NeuroImage 161: 251-260 (2017) - 2016
- [j43]Viktor Müller
Structure and Topology Dynamics of Hyper-Frequency Networks during Rest and Auditory Oddball Performance. Frontiers Comput. Neurosci. 10: 108 (2016) - [j42]Dimitri Van De Ville
Introduction to the Issue on Advanced Signal Processing for Brain Networks. IEEE J. Sel. Top. Signal Process. 10(7): 1131-1133 (2016) - [j41]Tim Kunze
Transcranial direct current stimulation changes resting state functional connectivity: A large-scale brain network modeling study. NeuroImage 140: 174-187 (2016) - [j40]Timothée Proix
How do parcellation size and short-range connectivity affect dynamics in large-scale brain network models? NeuroImage 142: 135-149 (2016) - 2015
- [j39]Petra Ritter, Viktor K. Jirsa
Editorial: State-dependent brain computation. Frontiers Comput. Neurosci. 9: 77 (2015) - [j38]Henrik Matzke, Michael Schirner
TVB-EduPack - An Interactive Learning and Scripting Platform for The Virtual Brain. Frontiers Neuroinformatics 9: 27 (2015) - [j37]Enrique C. A. Hansen, Demian Battaglia, Andreas Spiegler
Functional connectivity dynamics: Modeling the switching behavior of the resting state. NeuroImage 105: 525-535 (2015) - [j36]Paula Sanz-Leon
Mathematical framework for large-scale brain network modeling in The Virtual Brain. NeuroImage 111: 385-430 (2015) - [j35]Michael Schirner
An automated pipeline for constructing personalized virtual brains from multimodal neuroimaging data. NeuroImage 117: 343-357 (2015) - [j34]Sébastien Naze
Computational Modeling of Seizure Dynamics Using Coupled Neuronal Networks: Factors Shaping Epileptiform Activity. PLoS Comput. Biol. 11(5) (2015) - [j33]Robert Becker, Stuart Knock, Petra Ritter
Relating Alpha Power and Phase to Population Firing and Hemodynamic Activity Using a Thalamo-cortical Neural Mass Model. PLoS Comput. Biol. 11(9) (2015) - [j32]Mathieu Golos
Multistability in Large Scale Models of Brain Activity. PLoS Comput. Biol. 11(12) (2015) - 2014
- [j31]Dipanjan Roy
Using the Virtual Brain to Reveal the Role of Oscillations and Plasticity in Shaping Brain's Dynamical Landscape. Brain Connect. 4(10): 791-811 (2014) - [j30]Michael Marmaduke Woodman
Integrating neuroinformatics tools in TheVirtualBrain. Frontiers Neuroinformatics 8: 36 (2014) - [j29]Tristan T. Nakagawa
How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at rest. NeuroImage 87: 383-394 (2014) - [r2]Viktor K. Jirsa:
Propagator, Axonal. Encyclopedia of Computational Neuroscience 2014 - [r1]Viktor K. Jirsa:
Synaptic Connectivity in Neural Population Models. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j28]Petra Ritter
The Virtual Brain Integrates Computational Modeling and Multimodal Neuroimaging. Brain Connect. 3(2): 121-145 (2013) - [j27]Dipanjan Roy
Inferring network properties of cortical neurons with synaptic coupling and parameter dispersion. Frontiers Comput. Neurosci. 7: 20 (2013) - [j26]Viktor K. Jirsa
Cross-frequency coupling in real and virtual brain networks. Frontiers Comput. Neurosci. 7: 78 (2013) - [j25]Paula Leon
The Virtual Brain: a simulator of primate brain network dynamics. Frontiers Neuroinformatics 7: 10 (2013) - [j24]Dimitris A. Pinotsis
Anatomical connectivity and the resting state activity of large cortical networks. NeuroImage 65: 127-138 (2013) - [j23]Parham Aram, Dean R. Freestone
Spatiotemporal multi-resolution approximation of the Amari type neural field model. NeuroImage 66: 88-102 (2013) - [j22]Abir Hadriche, Laurent Pezard, Jean-Louis Nandrino
Mapping the dynamic repertoire of the resting brain. NeuroImage 78: 448-462 (2013) - [j21]Tristan T. Nakagawa
Bottom up modeling of the connectome: Linking structure and function in the resting brain and their changes in aging. NeuroImage 80: 318-329 (2013) - [j20]Andreas Spiegler
Systematic approximations of neural fields through networks of neural masses in the virtual brain. NeuroImage 83: 704-725 (2013) - 2012
- [j19]Gustavo Deco, Mario Senden
How anatomy shapes dynamics: a semi-analytical study of the brain at rest by a simple spin model. Frontiers Comput. Neurosci. 6: 68 (2012) - [j18]Arpan Banerjee
Spatiotemporal re-organization of large-scale neural assemblies underlies bimanual coordination. NeuroImage 62(3): 1582-1592 (2012) - 2011
- [j17]Young-Ah Rho, Anthony Randal McIntosh
Synchrony of Two Brain Regions Predicts the Blood Oxygen Level Dependent Activity of a Third. Brain Connect. 1(1): 73-80 (2011) - [j16]Dionysios Perdikis
Time Scale Hierarchies in the Functional Organization of Complex Behaviors. PLoS Comput. Biol. 7(9) (2011) - [c3]Silke Dodel, Joseph Cohn, Jochen Mersmann, Phan Luu, Chris Forsythe, Viktor K. Jirsa
Brain Signatures of Team Performance. HCI (20) 2011: 288-297 - [p1]Sarah Calvin, Viktor K. Jirsa
Perspectives on the Dynamic Nature of Coupling in Human Coordination. Nonlinear Dynamics in Human Behavior 2011: 91-114 - [e1]Raoul Huys, Viktor K. Jirsa:
Nonlinear Dynamics in Human Behavior. Studies in Computational Intelligence 328, 2011, ISBN 978-3-642-16261-9 [contents] - 2010
- [j15]Michael Breakspear
Computational models of the brain: From structure to function. NeuroImage 52(3): 727-730 (2010) - [c2]Dionysios Perdikis, Michael Marmaduke Woodman
Functional Architectures and Hierarchies of Time Scales. ICANN (2) 2010: 353-361
2000 – 2009
- 2008
- [j14]Arpan Banerjee
Mode level cognitive subtraction (MLCS) quantifies spatiotemporal reorganization in large-scale brain topographies. NeuroImage 42(2): 663-674 (2008) - [j13]Raoul Huys, Breanna E. Studenka, Nicole L. Rheaume, Howard N. Zelaznik
Distinct Timing Mechanisms Produce Discrete and Continuous Movements. PLoS Comput. Biol. 4(4) (2008) - [j12]Gustavo Deco
The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields. PLoS Comput. Biol. 4(8) (2008) - [j11]Anandamohan Ghosh, Y. Rho, Anthony Randal McIntosh
Noise during Rest Enables the Exploration of the Brain's Dynamic Repertoire. PLoS Comput. Biol. 4(10) (2008) - [j10]Roxana A. Stefanescu, Viktor K. Jirsa
A Low Dimensional Description of Globally Coupled Heterogeneous Neural Networks of Excitatory and Inhibitory Neurons. PLoS Comput. Biol. 4(11) (2008) - 2007
- [j9]Arpan Banerjee
How do neural connectivity and time delays influence bimanual coordination? Biol. Cybern. 96(2): 265-278 (2007) - [j8]Mukeshwar Dhamala, Collins G. Assisi
Multisensory integration for timing engages different brain networks. NeuroImage 34(2): 764-773 (2007) - 2005
- [j7]Collins G. Assisi
Dynamics of multifrequency coordination using parametric driving: theory and experiment. Biol. Cybern. 93(1): 6-21 (2005) - 2004
- [j6]Viktor K. Jirsa
Information Processing in Brain and Behavior Displayed in Large-Scale Scalp Topographies such as EEG and MEG. Int. J. Bifurc. Chaos 14(2): 679-692 (2004) - [j5]Viktor K. Jirsa
Connectivity and dynamics of neural information processing. Neuroinformatics 2(2): 183-204 (2004) - 2002
- [j4]Viktor K. Jirsa
Spatiotemporal forward solution of the EEG and MEG using network modelling. IEEE Trans. Medical Imaging 21(5): 493-504 (2002) - 2001
- [c1]Viktor K. Jirsa
Neural Field Dynamics on the Folded Three-Dimensional Cortical Sheet and Its Forward EEG and MEG. IPMI 2001: 286-299
1990 – 1999
- 1998
- [j3]Viktor K. Jirsa
Connecting Cortical And Behavioral Dynamics: Bimanual Coordination. Neural Comput. 10(8): 2019-2045 (1998) - 1995
- [j2]Armin Fuchs, Viktor K. Jirsa
Extending the HKB model of coordinated movement to oscillators with different eigenfrequencies. Biol. Cybern. 74(1): 21-30 (1995) - 1994
- [j1]Viktor K. Jirsa
A theoretical model of phase transitions in the human brain. Biol. Cybern. 71(1): 27-35 (1994)
Coauthor Index
Anthony R. McIntosh
aka: Anthony Randal McIntosh
aka: Anthony Randal McIntosh
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