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Frontiers in Neuroinformatics, Volume 19
Volume 19, 2025
- Irma Nayeli Angulo-Sherman, Eduardo Iáñez, Andrés Úbeda:
Editorial: Recent applications of noninvasive physiological signals and artificial intelligence. - A. V. Medvedev, B. Lehmann:
The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network. - Vadym Gryshchuk, Devesh Singh, Stefan Teipel, Martin Dyrba:
Contrastive self-supervised learning for neurodegenerative disorder classification. - Peipei Zeng, Shuimiao Kang, Fan Fan, Jiyuan Liu:
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM. - Cheng Wang, Zhou Long, Xiang-Dong Wang, You-Qi Kong, Li-Chun Zhou, Wei-Hua Jia, Pei Li, Jing Wang, Xiao-Juan Wang, Tian Tian:
Quantitative evaluation method of stroke association based on multidimensional gait parameters by using machine learning. - Yuanyuan Zhang, Manli Tian, Baolin Liu:
An action decoding framework combined with deep neural network for predicting the semantics of human actions in videos from evoked brain activities.

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