Bernard C, Jirsa VK, Woodman MM, Melozzi F. (2017). The Virtual Mouse Brain: A Computational Neuroinformatics Platform to Study Whole Mouse Brain Dynamics eNeuro.

See more from authors: Bernard C · Jirsa VK · Woodman MM · Melozzi F

References and models cited by this paper

Allen EA et al. (2014). Tracking whole-brain connectivity dynamics in the resting state. Cerebral cortex (New York, N.Y. : 1991). 24 [PubMed]

Brette R, Gerstner W. (2005). Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. Journal of neurophysiology. 94 [PubMed]

Buckner RL et al. (2009). Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease. The Journal of neuroscience : the official journal of the Society for Neuroscience. 29 [PubMed]

Calabrese E, Badea A, Cofer G, Qi Y, Johnson GA. (2015). A Diffusion MRI Tractography Connectome of the Mouse Brain and Comparison with Neuronal Tracer Data. Cerebral cortex (New York, N.Y. : 1991). 25 [PubMed]

Centeno M, Carmichael DW. (2014). Network Connectivity in Epilepsy: Resting State fMRI and EEG-fMRI Contributions. Frontiers in neurology. 5 [PubMed]

Chang C, Glover GH. (2010). Time-frequency dynamics of resting-state brain connectivity measured with fMRI. NeuroImage. 50 [PubMed]

Chen S, Buckmaster PS. (2005). Stereological analysis of forebrain regions in kainate-treated epileptic rats. Brain research. 1057 [PubMed]

Crossley NA et al. (2014). The hubs of the human connectome are generally implicated in the anatomy of brain disorders. Brain : a journal of neurology. 137 [PubMed]

Deco G, Jirsa VK. (2012). Ongoing cortical activity at rest: criticality, multistability, and ghost attractors. The Journal of neuroscience : the official journal of the Society for Neuroscience. 32 [PubMed]

Deco G, Jirsa VK, McIntosh AR. (2013). Resting brains never rest: computational insights into potential cognitive architectures. Trends in neurosciences. 36 [PubMed]

Deco G, Kringelbach ML, Jirsa VK, Ritter P. (2017). The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core. Scientific reports. 7 [PubMed]

Deco G et al. (2013). Resting-state functional connectivity emerges from structurally and dynamically shaped slow linear fluctuations. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]

Diesmann M, Gewaltig MO. (2002). NEST: An environment for neural systemssimulations Forschung und wisschenschaftliches Rechnen.

Eliasmith C et al. (2012). A large-scale model of the functioning brain. Science (New York, N.Y.). 338 [PubMed]

Esclapez M, Hirsch JC, Ben-Ari Y, Bernard C. (1999). Newly formed excitatory pathways provide a substrate for hyperexcitability in experimental temporal lobe epilepsy. The Journal of comparative neurology. 408 [PubMed]

Friston KJ, Mechelli A, Turner R, Price CJ. (2000). Nonlinear responses in fMRI: the Balloon model, Volterra kernels, and other hemodynamics. NeuroImage. 12 [PubMed]

Golos M, Jirsa V, Daucé E. (2015). Multistability in Large Scale Models of Brain Activity. PLoS computational biology. 11 [PubMed]

Goodman DF, Brette R. (2009). The brian simulator. Frontiers in neuroscience. 3 [PubMed]

Hansen EC, Battaglia D, Spiegler A, Deco G, Jirsa VK. (2015). Functional connectivity dynamics: modeling the switching behavior of the resting state. NeuroImage. 105 [PubMed]

Hines ML, Carnevale NT. (1997). The NEURON simulation environment. Neural computation. 9 [PubMed]

Hutchison RM et al. (2013). Dynamic functional connectivity: promise, issues, and interpretations. NeuroImage. 80 [PubMed]

Izhikevich EM. (2003). Simple model of spiking neurons. IEEE transactions on neural networks. 14 [PubMed]

Jirsa VK. (2009). Neural field dynamics with local and global connectivity and time delay. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences. 367 [PubMed]

Jirsa VK et al. (2017). The Virtual Epileptic Patient: Individualized whole-brain models of epilepsy spread. NeuroImage. 145 [PubMed]

Jirsa VK, Stacey WC, Quilichini PP, Ivanov AI, Bernard C. (2014). On the nature of seizure dynamics. Brain : a journal of neurology. 137 [PubMed]

Keilholz SD, Magnuson ME, Pan WJ, Willis M, Thompson GJ. (2013). Dynamic properties of functional connectivity in the rodent. Brain connectivity. 3 [PubMed]

Leonardi N, Van De Ville D. (2015). On spurious and real fluctuations of dynamic functional connectivity during rest. NeuroImage. 104 [PubMed]

Liang Z, Liu X, Zhang N. (2015). Dynamic resting state functional connectivity in awake and anesthetized rodents. NeuroImage. 104 [PubMed]

Liska A, Galbusera A, Schwarz AJ, Gozzi A. (2015). Functional connectivity hubs of the mouse brain. NeuroImage. 115 [PubMed]

Markram H. (2012). The human brain project. Scientific American. 306 [PubMed]

Mechling AE et al. (2014). Fine-grained mapping of mouse brain functional connectivity with resting-state fMRI. NeuroImage. 96 [PubMed]

Newman ME . (2008). The mathematics of networks The New Palgrave Encyclopedia of Economics. 2

Oh SW et al. (2014). A mesoscale connectome of the mouse brain. Nature. 508 [PubMed]

Preti MG, Bolton TA, Van De Ville D. (2017). The dynamic functional connectome: State-of-the-art and perspectives. NeuroImage. 160 [PubMed]

Proix T, Bartolomei F, Chauvel P, Bernard C, Jirsa VK. (2014). Permittivity coupling across brain regions determines seizure recruitment in partial epilepsy. The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]

Proix T, Bartolomei F, Guye M, Jirsa VK. (2017). Individual brain structure and modelling predict seizure propagation. Brain : a journal of neurology. 140 [PubMed]

Sanz Leon P et al. (2013). The Virtual Brain: a simulator of primate brain network dynamics. Frontiers in neuroinformatics. 7 [PubMed]

Sanz-Leon P, Knock SA, Spiegler A, Jirsa VK. (2015). Mathematical framework for large-scale brain network modeling in The Virtual Brain. NeuroImage. 111 [PubMed]

Sinha N et al. (2017). Predicting neurosurgical outcomes in focal epilepsy patients using computational modelling. Brain : a journal of neurology. 140 [PubMed]

Spiegler A, Hansen EC, Bernard C, McIntosh AR, Jirsa VK. (2016). Selective Activation of Resting-State Networks following Focal Stimulation in a Connectome-Based Network Model of the Human Brain. eNeuro. 3 [PubMed]

Stafford JM et al. (2014). Large-scale topology and the default mode network in the mouse connectome. Proceedings of the National Academy of Sciences of the United States of America. 111 [PubMed]

Toga AW, Thompson PM. (2003). Mapping brain asymmetry. Nature reviews. Neuroscience. 4 [PubMed]

Toyoda I, Bower MR, Leyva F, Buckmaster PS. (2013). Early activation of ventral hippocampus and subiculum during spontaneous seizures in a rat model of temporal lobe epilepsy. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]

Von Luxburg U. (2007). A tutorial on spectral clustering Stat Comput. 17

Wong KF, Wang XJ. (2006). A recurrent network mechanism of time integration in perceptual decisions. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

van den Heuvel MP, Sporns O. (2013). Network hubs in the human brain. Trends in cognitive sciences. 17 [PubMed]

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