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Classification of TMS evoked potentials using ERP time signatures and SVM versus deep learning.

, , , , , and . EMBC, page 3539-3542. IEEE, (2019)

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An optimization approach to achieve unsupervised segmentation and binding in a dynamical network., , , and . IJCNN, page 4159-4166. IEEE, (2006)GSP Analysis of Brain Imaging Data from Athletes with History of Multiple Concussions., , , , and . GlobalSIP, page 1-5. IEEE, (2019)On the generalization capacity of neural networks during generic multimodal reasoning., , , , and . ICLR, OpenReview.net, (2024)Multimodal Dynamic Brain Connectivity Analysis Based on Graph Signal Processing for Former Athletes With History of Multiple Concussions., , , , , , , , , and . IEEE Trans. Signal Inf. Process. over Networks, (2020)Inference and segmentation in cortical processing., , , , and . Human Vision and Electronic Imaging, volume 6057 of SPIE Proceedings, page 60570Y. SPIE, (2006)Efficient segmentation in multi-layer oscillatory networks., , , and . IJCNN, page 2966-2973. IEEE, (2008)Evaluation of the Effect of Input Stimuli on the Quality of Orientation Maps Produced Through Self Organization., , , and . SCIA, volume 3540 of Lecture Notes in Computer Science, page 810-820. Springer, (2005)An Ultrascalable Solution to Large-scale Neural Tissue Simulation., and . Frontiers Neuroinformatics, (2011)The Computational Basis of Emotions and Implications for Cognitive Architectures., and . BICA, volume 233 of Frontiers in Artificial Intelligence and Applications, page 269-281. IOS Press, (2011)Emergence of Topographic Cortical Maps in a Parameterless Local Competition Network., , , and . ISNN (2), volume 4492 of Lecture Notes in Computer Science, page 552-561. Springer, (2007)