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Theoretical Model for Mesoscopic-Level Scale-Free Self-Organization of Functional Brain Networks., , and . IEEE Trans. Neural Networks, 21 (11): 1747-1758 (2010)Robustness of power laws in degree distributions for spiking neural networks.. IJCNN, page 2541-2546. IEEE Computer Society, (2009)Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network., , , , , and . CoRR, (2016)Spontaneous scale-free structure of spike flow graphs in recurrent neural networks., and . Neural Networks, 21 (10): 1530-1536 (2008)Fundamental principles of cortical computation: unsupervised learning with prediction, compression and feedback., , , , and . CoRR, (2016)Visualizing and Analyzing Multidimensional Output from MLP Networks via Barycentric Projections., and . ICAISC, volume 3070 of Lecture Notes in Computer Science, page 247-252. Springer, (2004)Emergence of Scale-free Spike Flow Graphs in Recurrent Neural Networks., and . FOCI, page 357-362. IEEE, (2007)Spectra of the Spike Flow Graphs of Recurrent Neural Networks.. ICANN (2), volume 5769 of Lecture Notes in Computer Science, page 603-612. Springer, (2009)Persistent Activation Blobs in Spiking Neural Networks with Mexican Hat Connectivity.. ICAISC (2), volume 6114 of Lecture Notes in Computer Science, page 64-71. Springer, (2010)Mesoscopic Approach to Locally Hopfield Neural Networks in Presence of Correlated Patterns.. IJCNN, page 3260-3266. IEEE, (2006)