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An Analytical Approach to Network Motif Detection in Samples of Networks with Pairwise Different Vertex Labels.

, , , , and . Comput. Math. Methods Medicine, (2012)

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Training Continuous Trajectories by Means of Dynamic Neural Networks with Time Dependent Weights., , and . NC, page 591-596. ICSC Academic Press, International Computer Science Conventions, Canada / Switzerland, (1998)Large-scale Granger causality analysis on resting-state functional MRI., , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9788 of SPIE Proceedings, page 97880L. SPIE, (2016)Exploring intrinsic triggers for functional facial electrostimulation based on intramuscular electromyography recordings., , and . EMBC, page 6599-6602. IEEE, (2019)Learning continuous trajectories in recurrent neural networks with time-dependent weights., , and . IEEE Trans. Neural Networks, 10 (4): 741-756 (1999)Improved Learning of Multiple Continuous Trajectories with Initial Network State., , and . IJCNN (3), page 15-20. IEEE Computer Society, (2000)0-7695-0619-4.Identification of whole-brain network modules based on a large scale Granger Causality approach., , , , , and . EMBC, page 5380-5383. IEEE, (2015)Signal-Adaptive Denoising Of Event-Related Potentials., and . EMBC, page 3096-3099. IEEE, (2018)Analysis and modeling of time-variant amplitude-frequency couplings of and between oscillations of EEG bursts., , , , and . Biol. Cybern., 99 (2): 139-157 (2008)An Analytical Approach to Network Motif Detection in Samples of Networks with Pairwise Different Vertex Labels., , , , and . Comput. Math. Methods Medicine, (2012)Detecting spatially highly resolved network modules: A multi subject approach., , , , and . EMBC, page 5481-5484. IEEE, (2016)