Frontiers in Computational Neuroscience

Papers
(The H4-Index of Frontiers in Computational Neuroscience is 24. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Short-term postsynaptic plasticity facilitates predictive tracking in continuous attractors115
NeuroFusionNet: cross-modal modeling from brain activity to visual understanding91
Meta-Learning for Decoding Neural Activity Data With Noisy Labels78
Further N-Frame networking dynamics of conscious observer-self agents via a functional contextual interface: predictive coding, double-slit quantum mechanical experiment, and decision-making fallacy m72
Toward Precise Localization of Abnormal Brain Activity: 1D CNN on Single Voxel fMRI Time-Series51
A novel multi-feature fusion attention neural network for the recognition of epileptic EEG signals49
Research on efficient feature extraction: Improving YOLOv5 backbone for facial expression detection in live streaming scenes44
Predictive coding with spiking neurons and feedforward gist signaling43
FacialNet: facial emotion recognition for mental health analysis using UNet segmentation with transfer learning model41
Recurrent Excitatory Feedback From Mossy Cells Enhances Sparsity and Pattern Separation in the Dentate Gyrus via Indirect Feedback Inhibition40
Reinforced liquid state machines—new training strategies for spiking neural networks based on reinforcements37
Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review33
Editorial: Symmetry as a guiding principle in artificial and brain neural networks33
Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices32
High precision visual localization method of UAV based on feature matching28
Super special relativity27
Quantitative prediction of intracellular dynamics and synaptic currents in a small neural circuit27
Biologically Inspired Deep Learning Model for Efficient Foveal-Peripheral Vision27
DTCNet: finger flexion decoding with three-dimensional ECoG data25
Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson’s Patients24
Text clustering based on pre-trained models and autoencoders24
The cognitive impacts of large language model interactions on problem solving and decision making using EEG analysis24
The mesoanatomy of the cortex, minimization of free energy, and generative cognition24
Toward a computational theory of manifold untangling: from global embedding to local flattening24
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