The Virtual Mouse Brain (TVMB) (Melozzi et al. 2017)


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]

References and models that cite this paper
This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.