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Frontiers in Neuroinformatics|September 13, 2021
The EBRAINS NeuroFeatureExtract: An Online Resource for the Extraction of Neural Activity Features From Electrophysiological DataLuca L Bologna, Roberto Smiriglia, Dario Curreri, et al.
Frontiers in Neuroinformatics|August 23, 2021
Dissociable Neural Representations of Adversarially Perturbed Images in Convolutional Neural Networks and the Human BrainChi Zhang, Xiao-Han Duan, Lin-Yuan Wang, et al.
Frontiers in Neuroinformatics|January 30, 2023
A method for reconstruction of interpretable brain networks from transient synchronization in resting-state BOLD fluctuationsYusuke Noro, Ruixiang Li, Teppei Matsui, et al.
Frontiers in Neuroinformatics|March 13, 2023
A systematic comparison of deep learning methods for EEG time series analysisDominik Walther, Johannes Viehweg, Jens Haueisen, et al.
Frontiers in Neuroinformatics|November 17, 2025
Information-theoretic gradient flows in mouse visual cortexErik D Fagerholm, Hirokazu Tanaka, Milan Brázdil
Frontiers in Neuroinformatics|October 15, 2025
Super-resolution microscopy and deep learning methods: what can they bring to neuroscience: from neuron to 3D spine segmentationPaul Nazac, Shengyan Xu, Victor Breton, et al.
Frontiers in Neuroinformatics|September 29, 2025
VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging dataGopikrishna Deshpande, Bonian Lu, Nguyen Huynh, et al.
Frontiers in Neuroinformatics|August 19, 2016
Embedding Task-Based Neural Models into a Connectome-Based Model of the Cerebral CortexAntonio Ulloa, Barry Horwitz
Frontiers in Neuroinformatics|August 7, 2025
Sensitivity analysis of a mathematical model of Alzheimer's disease progression unveils important causal pathwaysSeyedadel Moravveji, Halima Sadia, Nicolas Doyon, et al.
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