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Frontiers in Computational Neuroscience|July 12, 2012
Multi-stage open peer review: scientific evaluation integrating the strengths of traditional peer review with the virtues of transparency and self-regulationUlrich PöschlFrontiers in Computational Neuroscience|July 13, 2012
Complex dynamics in recurrent cortical networks based on spatially realistic connectivitiesN Voges, L PerrinetFrontiers in Computational Neuroscience|July 28, 2012
Parametric models to relate spike train and LFP dynamics with neural information processingArpan Banerjee, Heather L Dean, Bijan PesaranFrontiers in Computational Neuroscience|February 18, 2015
Gaussian mixture models and semantic gating improve reconstructions from human brain activitySanne Schoenmakers, Umut Güçlü, Marcel van Gerven, et al.Frontiers in Computational Neuroscience|July 25, 2022
Meta-Learning for Decoding Neural Activity Data With Noisy LabelsDongfang Xu, Rong ChenFrontiers in Computational Neuroscience|April 18, 2022
Multi-Granularity Analysis of Brain Networks Assembled With Intra-Frequency and Cross-Frequency Phase Coupling for Human EEG After StrokeBin Ren, Kun Yang, Li Zhu, et al.Frontiers in Computational Neuroscience|April 15, 2022
A Neuro-Computational Model for Discrete-Continuous Dual-Task ProcessMaryam Sadeghi Talarposhti, Mohammad Ali Ahmadi-Pajouh, Farzad TowhidkhahFrontiers in Computational Neuroscience|October 9, 2018
A Computational Model of Deep-Brain Stimulation for Acquired Dystonia in ChildrenTerence D SangerFrontiers in Computational Neuroscience|September 14, 2018
EEG Microstate Sequences From Different Clustering Algorithms Are Information-Theoretically InvariantFrederic von Wegner, Paul Knaut, Helmut LaufsFrontiers in Computational Neuroscience|April 21, 2018
Unsupervised Feature Learning With Winner-Takes-All Based STDPPaul Ferré, Franck Mamalet, Simon J ThorpePageof 202