Frontiers in Computational Neuroscience

Papers
(The TQCC of Frontiers in Computational Neuroscience is 5. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Interpreting the decisions of CNNs via influence functions112
Short-term postsynaptic plasticity facilitates predictive tracking in continuous attractors86
Editorial: Affective brain-computer interface in emotion artificial intelligence and medical engineering80
Retraction: Deep learning for autism diagnosis and facial analysis in children74
SaE-GBLS: an effective self-adaptive evolutionary optimized graph-broad model for EEG-based automatic epileptic seizure detection59
Editorial: Computational intelligence for signal and image processing, volume II59
Editorial: Brain-inspired intelligence: the deep integration of brain science and artificial intelligence49
PointAS: an attention based sampling neural network for visual perception37
Functional Connectivity and Complexity in the Phenomenological Model of Mild Cognitive-Impaired Alzheimer's Disease33
Electroencephalogram Emotion Recognition Based on 3D Feature Fusion and Convolutional Autoencoder32
Emotions as Abstract Evaluation Criteria in Biological and Artificial Intelligences30
Energy-based analog neural network framework27
Method for persistent topological features extraction of schizophrenia patients’ electroencephalography signal based on persistent homology25
Purkinje cell models: past, present and future25
A computational model of learning flexible navigation in a maze by layout-conforming replay of place cells23
U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis23
Editorial: Deep neural network based decision-making interpretability23
A lightweight mixup-based short texts clustering for contrastive learning22
Rényi entropy-complexity causality space: a novel neurocomputational tool for detecting scale-free features in EEG/iEEG data22
Research on eight machine learning algorithms applicability on different characteristics data sets in medical classification tasks20
Data-Driven Model of Postsynaptic Currents Mediated by NMDA or AMPA Receptors in Striatal Neurons20
High precision visual localization method of UAV based on feature matching20
Cortical circuit-based lossless neural integrator for perceptual decision-making: A computational modeling study19
Lightweight semantic segmentation network with configurable context and small object attention19
Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices18
Multi-label remote sensing classification with self-supervised gated multi-modal transformers17
A neural learning approach for simultaneous object detection and grasp detection in cluttered scenes16
Editorial: Temporal structure of neural processes coupling sensory, motor and cognitive functions of the brain, volume II16
Complexity-based graph convolutional neural network for epilepsy diagnosis in normal, acute, and chronic stages16
Noise-induced synchrony of two-neuron motifs with asymmetric noise and uneven coupling16
Positional multi-length and mutual-attention network for epileptic seizure classification16
Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling15
Closed-Loop Tracking and Regulation of Emotional Valence State From Facial Electromyogram Measurements15
Editorial: 15 years of frontiers in computational neuroscience - computational perception and cognition15
Compensatory mechanism of attention-deficit/hyperactivity disorder recovery in resting state alpha rhythms15
Simulation of neuroplasticity in a CNN-based in-silico model of neurodegeneration of the visual system15
Editorial: Symmetry as a guiding principle in artificial and brain neural networks15
Editorial: Bioinformatics for modern neuroscience15
Generalised Analog LSTMs Recurrent Modules for Neural Computing15
Prediction and analysis of time series data based on granular computing15
Book review: Electrical fields and the experienced life15
FacialNet: facial emotion recognition for mental health analysis using UNet segmentation with transfer learning model14
Computing the partition dimension of certain families of Toeplitz graph14
Cortical field maps across human sensory cortex13
The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions13
Modeling functional connectivity changes during an auditory language task using line graph neural networks13
Research on adverse event classification algorithm of da Vinci surgical robot based on Bert-BiLSTM model13
A novel multi-feature fusion attention neural network for the recognition of epileptic EEG signals13
Functional Brain Networks in Mild Cognitive Impairment Based on Resting Electroencephalography Signals13
A neural basis for learning sequential memory in brain loop structures13
Postsynaptic Potential Energy as Determinant of Synaptic Plasticity13
SRI-EEG: State-Based Recurrent Imputation for EEG Artifact Correction13
Corrigendum: Attention in Psychology, Neuroscience, and Machine Learning12
A Model of Pattern Separation by Single Neurons12
Corrigendum: Accurate few-shot object counting with Hough matching feature enhancement12
Synchronization in simplicial complexes of memristive Rulkov neurons12
Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network12
New insights into binocular rivalry from the reconstruction of evolving percepts using model network dynamics11
Artificial intelligence insights into hippocampal processing11
Predictive coding with spiking neurons and feedforward gist signaling11
An interpretable approach for automatic aesthetic assessment of remote sensing images11
Patterns of synchronization in 2D networks of inhibitory neurons11
Covariance properties under natural image transformations for the generalised Gaussian derivative model for visual receptive fields10
Evaluating State Space Discovery by Persistent Cohomology in the Spatial Representation System10
Event-Based Trajectory Prediction Using Spiking Neural Networks10
Can neuron modeling constrained by ultrafast imaging data extract the native function of ion channels?10
Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training10
Interlayer Connectivity Affects the Coherence Resonance and Population Activity Patterns in Two-Layered Networks of Excitatory and Inhibitory Neurons10
Pathological cell assembly dynamics in a striatal MSN network model10
Learning delays through gradients and structure: emergence of spatiotemporal patterns in spiking neural networks10
Reconstructing Group Wavelet Transform From Feature Maps With a Reproducing Kernel Iteration10
Toward Precise Localization of Abnormal Brain Activity: 1D CNN on Single Voxel fMRI Time-Series9
Training spiking neuronal networks to perform motor control using reinforcement and evolutionary learning9
Rapid Spectral Dynamics in Hippocampal Oscillons9
An Approach for Stabilizing Abnormal Neural Activity in ADHD Using Chaotic Resonance9
Biologically Inspired Deep Learning Model for Efficient Foveal-Peripheral Vision9
Layer-Skipping Connections Improve the Effectiveness of Equilibrium Propagation on Layered Networks9
Comparison of Two-Dimensional- and Three-Dimensional-Based U-Net Architectures for Brain Tissue Classification in One-Dimensional Brain CT9
Detection of Brain Network Communities During Natural Speech Comprehension From Functionally Aligned EEG Sources8
Motor cortex outputs evoked by long-duration microstimulation encode synergistic muscle activation patterns not controlled movement trajectories8
Latent dynamics of primary sensory cortical population activity structured by fluctuations in the local field potential8
Mean-field based framework for forward modeling of LFP and MEG signals8
Meta-Learning for Decoding Neural Activity Data With Noisy Labels8
Transfer learning-based modified inception model for the diagnosis of Alzheimer's disease8
Recurrent Excitatory Feedback From Mossy Cells Enhances Sparsity and Pattern Separation in the Dentate Gyrus via Indirect Feedback Inhibition8
Dynamic probability integration for electroencephalography-based rapid serial visual presentation performance enhancement: Application in nighttime vehicle detection8
Predicting the distribution of serotonergic axons: a supercomputing simulation of reflected fractional Brownian motion in a 3D-mouse brain model8
A flexible speller based on time-space frequency conversion SSVEP stimulation paradigm under dry electrode8
Predicting Brain Regions Related to Alzheimer's Disease Based on Global Feature7
Functional Brain Connections Identify Sensorineural Hearing Loss and Predict the Outcome of Cochlear Implantation7
The mesoanatomy of the cortex, minimization of free energy, and generative cognition7
Research on efficient feature extraction: Improving YOLOv5 backbone for facial expression detection in live streaming scenes7
Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective7
NeuroFusionNet: cross-modal modeling from brain activity to visual understanding7
Prefrontal meta-control incorporating mental simulation enhances the adaptivity of reinforcement learning agents in dynamic environments7
Time Is of the Essence: Neural Codes, Synchronies, Oscillations, Architectures7
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 m7
The influence of non-stationarity of spike signals on decoding performance in intracortical brain-computer interface: a simulation study7
An efficient computer vision-based approach for acute lymphoblastic leukemia prediction7
Artificial neural network models: implementation of functional near-infrared spectroscopy-based spontaneous lie detection in an interactive scenario7
Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review7
Prediction and Modeling of Neuropsychological Scores in Alzheimer’s Disease Using Multimodal Neuroimaging Data and Artificial Neural Networks7
Spatiotemporal Patterns of Adaptation-Induced Slow Oscillations in a Whole-Brain Model of Slow-Wave Sleep7
Prestimulus α/β power in temporal-order judgments: individuals differ in direction of modulation but show consistency over auditory and visual tasks7
Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson’s Patients6
Assessment of Carotid Plaque Stability Using Contrast-Enhanced Ultrasound and Its Correlation With the Expression of CD147 and MMP-9 in the Plaque6
Self-organized criticality in a mesoscopic model of excitatory-inhibitory neuronal populations by short-term and long-term synaptic plasticity6
Quantifying the Landscape of Decision Making From Spiking Neural Networks6
Machine learning algorithm performance evaluation in structural magnetic resonance imaging-based classification of pediatric bipolar disorders type I patients6
Active inference, morphogenesis, and computational psychiatry6
Robust and efficient representations of dynamic stimuli in hierarchical neural networks via temporal smoothing6
Fractional-Order Traveling Wave Approximations for a Fractional-Order Neural Field Model6
cuSCNN: A Secure and Batch-Processing Framework for Privacy-Preserving Convolutional Neural Network Prediction on GPU6
Finding the Location of Axonal Activation by a Miniature Magnetic Coil6
Computational assessment of visual coding across mouse brain areas and behavioural states6
Quantitative properties of the creation and activation of a cell-intrinsic duration-encoding engram6
Noise-tuned bursting in a Hedgehog burster6
Analysis based on neural representation of natural object surfaces to elucidate the mechanisms of a trained AlexNet model6
Role of Lateral Inhibition on Visual Number Sense6
Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network5
Cannabinoid signaling and risk in Huntington's disease5
Cross-site scripting attack detection based on a modified convolution neural network5
Online spike-based recognition of digits with ultrafast microlaser neurons5
Performance control study of interleaved meltblown non-woven materials based on statistical analysis and predictive modeling5
Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation5
Editorial: The embodied brain: computational mechanisms of integrated sensorimotor interactions with a dynamic environment, volume II5
Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception5
Research on the multi-granularity method of role engineering5
Production of adaptive movement patterns via an insect inspired spiking neural network central pattern generator5
A CNN-Based Deep Learning Approach for SSVEP Detection Targeting Binaural Ear-EEG5
Toward a computational theory of manifold untangling: from global embedding to local flattening5
Grid cells, border cells, and discrete complex analysis5
A mutual information measure of phase-amplitude coupling using gamma generalized linear models5
A combinatorial deep learning method for Alzheimer’s disease classification-based merging pretrained networks5
Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification5
Biases in BCI experiments: Do we really need to balance stimulus properties across categories?5
A neural active inference model of perceptual-motor learning5
Grid codes vs. multi-scale, multi-field place codes for space5
Optogenetic manipulation of inhibitory interneurons can be used to validate a model of spatiotemporal sequence learning5
A Neuron-Glial Model of Exosomal Release in the Onset and Progression of Alzheimer's Disease5
Hyperscanning fNIRS data analysis using multiregression dynamic models: an illustration in a violin duo5
Sensory-thresholded switch of neural firing states in a computational model of the ventromedial hypothalamus5
Quantitative analysis of the optogenetic excitability of CA1 neurons5
DT-SCNN: dual-threshold spiking convolutional neural network with fewer operations and memory access for edge applications5
Editorial: Advanced deep learning approaches for medical neuroimaging data with limitation5
Multi-sequence generative adversarial network: better generation for enhanced magnetic resonance imaging images5
The Value of First-Order Features Based on the Apparent Diffusion Coefficient Map in Evaluating the Therapeutic Effect of Low-Intensity Pulsed Ultrasound for Acute Traumatic Brain Injury With a Rat Mo5
A theoretical model reveals specialized synaptic depressions and temporal frequency tuning in retinal parallel channels5
Improved space breakdown method – A robust clustering technique for spike sorting5
Adapting hippocampus multi-scale place field distributions in cluttered environments optimizes spatial navigation and learning5
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