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Classification of equinus in ambulatory children with cerebral palsy-discrimination between dynamic tightness and fixed contracture.

, , , , , , , and . Gait Posture, 20 (3): 273--279 (December 2004)
DOI: 10.1016/j.gaitpost.2003.10.002

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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)Investigating large-scale Granger causality analysis in presence of noise and varying sampling rate., , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 105780C. SPIE, (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)Automated emotion classification in the early stages of cortical processing: An MEG study., , , , , , , and . Artif. Intell. Medicine, (2021)Identifying mutual information transfer in the brain with differential-algebraic modeling: Evidence for fast oscillatory coupling between cortical somatosensory areas 3b and 1., , , , and . NeuroImage, 37 (1): 130-136 (2007)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)