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 2021-05-01 to 2025-05-01.)
ArticleCitations
A novel multi-feature fusion attention neural network for the recognition of epileptic EEG signals84
Editorial: Symmetry as a guiding principle in artificial and brain neural networks76
FacialNet: facial emotion recognition for mental health analysis using UNet segmentation with transfer learning model65
Short-term postsynaptic plasticity facilitates predictive tracking in continuous attractors65
NeuroFusionNet: cross-modal modeling from brain activity to visual understanding50
Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices40
Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review36
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 m35
Recurrent Excitatory Feedback From Mossy Cells Enhances Sparsity and Pattern Separation in the Dentate Gyrus via Indirect Feedback Inhibition34
Meta-Learning for Decoding Neural Activity Data With Noisy Labels33
Toward Precise Localization of Abnormal Brain Activity: 1D CNN on Single Voxel fMRI Time-Series31
Research on efficient feature extraction: Improving YOLOv5 backbone for facial expression detection in live streaming scenes30
Biologically Inspired Deep Learning Model for Efficient Foveal-Peripheral Vision28
Predictive coding with spiking neurons and feedforward gist signaling26
Toward a computational theory of manifold untangling: from global embedding to local flattening24
High precision visual localization method of UAV based on feature matching24
Online spike-based recognition of digits with ultrafast microlaser neurons23
Performance control study of interleaved meltblown non-woven materials based on statistical analysis and predictive modeling23
Grid cells, border cells, and discrete complex analysis23
Editorial: The embodied brain: computational mechanisms of integrated sensorimotor interactions with a dynamic environment, volume II21
Text clustering based on pre-trained models and autoencoders21
A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics21
Production of adaptive movement patterns via an insect inspired spiking neural network central pattern generator20
Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson’s Patients20
Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective20
Patient-specific approach using data fusion and adversarial training for epileptic seizure prediction19
The mesoanatomy of the cortex, minimization of free energy, and generative cognition19
Structural Features of the Human Connectome That Facilitate the Switching of Brain Dynamics via Noradrenergic Neuromodulation18
Neuro-environmental interactions: a time sensitive matter17
Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification17
The Use of Reduced Models to Generate Irregular, Broad-Band Signals That Resemble Brain Rhythms17
Ayu-Characterization of healthy aging from neuroimaging data with deep learning and rsfMRI17
Reservoir based spiking models for univariate Time Series Classification17
Understanding the Impact of Neural Variations and Random Connections on Inference16
Editorial: The new frontier in brain network physiology: from temporal dynamics to the principles of integration in physiological brain networks16
Editorial: Decoding novel therapeutic targets, biomarkers, and drug development strategies against neurodegenerative disorders—A multi-omics approach16
A Dynamic Efficient Sensory Encoding Approach to Adaptive Tuning in Neural Models of Optic Flow Processing16
Corrigendum: Decoding neuropathic pain: Can we predict fluctuations of propagation speed in stimulated peripheral nerve?16
Dynamic PET Imaging Using Dual Texture Features16
Extracting Dynamical Understanding From Neural-Mass Models of Mouse Cortex15
Multiscale modeling of neuronal dynamics in hippocampus CA115
Multimodal sleep staging network based on obstructive sleep apnea15
Editorial: Psychological and cognitive evaluation and intervention based on physiological and behavioral computing15
Heart disease detection based on internet of things data using linear quadratic discriminant analysis and a deep graph convolutional neural network15
The effect of hearing impairment and social participation on depressive symptoms in older adults: a cross-lagged analysis15
Spatio-Temporally Efficient Coding Assigns Functions to Hierarchical Structures of the Visual System14
Perineuronal nets restrict transport near the neuron surface: A coarse-grained molecular dynamics study14
Short-Term Plasticity Regulates Both Divisive Normalization and Adaptive Responses in Drosophila Olfactory System14
Emergent Dynamics and Spatio Temporal Patterns on Multiplex Neuronal Networks13
Model Reduction Captures Stochastic Gamma Oscillations on Low-Dimensional Manifolds13
Decoding the application of deep learning in neuroscience: a bibliometric analysis13
Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces13
Deep learning for detecting prenatal alcohol exposure in pediatric brain MRI: a transfer learning approach with explainability insights13
Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks12
Insertion Guidance Based on Impedance Measurements of a Cochlear Electrode Array12
Flexible intentions: An Active Inference theory12
The decoupling between hemodynamic parameters and neural activity implies a complex origin of spontaneous brain oscillations12
Smoking behavior detection algorithm based on YOLOv8-MNC12
Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn12
Ensemble deep learning for brain tumor detection12
Improving imbalance classification via ensemble learning based on two-stage learning11
A Network Architecture for Bidirectional Neurovascular Coupling in Rat Whisker Barrel Cortex11
Feedback stabilization of probabilistic finite state machines based on deep Q-network11
Editorial: Recent advances in EEG (non-invasive) based BCI applications11
A novel associative memory model based on semi-tensor product (STP)11
Does Your Loved One With Cognitive Symptoms Need to See a Doctor? Check It Online11
Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II11
A computational approach based on weighted gene co-expression network analysis for biomarkers analysis of Parkinson’s disease and construction of diagnostic model10
End-to-end model-based trajectory prediction for ro-ro ship route using dual-attention mechanism10
Nonlinear analysis of neuronal firing modulated by sinusoidal stimulation at axons in rat hippocampus10
LGNN: a novel linear graph neural network algorithm10
On the similarities of representations in artificial and brain neural networks for speech recognition10
Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection10
Reinforcement Learning Model With Dynamic State Space Tested on Target Search Tasks for Monkeys: Extension to Learning Task Events10
Neuronal and behavioral affective perceptions of human and naturalness-reduced emotional prosodies10
Impact of DC-Coupled Electrophysiological Recordings for Translational Neuroscience: Case Study of Tracking Neural Dynamics in Rodent Models of Seizures9
Degeneracy and stability in neural circuits of dopamine and serotonin neuromodulators: A theoretical consideration9
Reinforcement Learning for Central Pattern Generation in Dynamical Recurrent Neural Networks9
Single channel approach for filtering electroencephalographic signals strongly contaminated with facial electromyography9
Editorial: Neuro-inspired sensing and computing: Novel materials, devices, and systems9
A spatial map: a propitious choice for constraining the binding problem9
Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition9
Dynamics of a model for the degradation mechanism of aggregated α-synuclein in Parkinson's disease8
Feature separation and adversarial training for the patient-independent detection of epileptic seizures8
Explaining Orientation Adaptation in V1 by Updating the State of a Spatial Model8
Improving Between-Group Effect Size for Multi-Site Functional Connectivity Data via Site-Wise De-Meaning8
Kohonen neural network and symbiotic-organism search algorithm for intrusion detection of network viruses8
Clustering and disease subtyping in Neuroscience, toward better methodological adaptations8
Unification of free energy minimization, spatiotemporal energy, and dimension reduction models of V1 organization: Postnatal learning on an antenatal scaffold8
Emergence of Lie Symmetries in Functional Architectures Learned by CNNs8
HTsort: Enabling Fast and Accurate Spike Sorting on Multi-Electrode Arrays8
Information bottleneck-based Hebbian learning rule naturally ties working memory and synaptic updates8
The significance of cerebellar contributions in early-life through aging8
A machine learning approach to evaluate the impact of virtual balance/cognitive training on fall risk in older women8
Controlling Alzheimer’s Disease Through the Deep Brain Stimulation to Thalamic Relay Cells8
An Approach for Stabilizing Abnormal Neural Activity in ADHD Using Chaotic Resonance7
Simulation of neuroplasticity in a CNN-based in-silico model of neurodegeneration of the visual system7
Network Model With Reduced Metabolic Rate Predicts Spatial Synchrony of Neuronal Activity7
A Model of Pattern Separation by Single Neurons7
Interpreting the decisions of CNNs via influence functions7
Latent dynamics of primary sensory cortical population activity structured by fluctuations in the local field potential7
Event-Based Trajectory Prediction Using Spiking Neural Networks7
Leveraging conscious and nonconscious learning for efficient AI7
Addressing skepticism of the critical brain hypothesis7
Complexity-based graph convolutional neural network for epilepsy diagnosis in normal, acute, and chronic stages7
Book review: Electrical fields and the experienced life7
Learning delays through gradients and structure: emergence of spatiotemporal patterns in spiking neural networks7
Motor cortex outputs evoked by long-duration microstimulation encode synergistic muscle activation patterns not controlled movement trajectories7
A neural learning approach for simultaneous object detection and grasp detection in cluttered scenes7
Positional multi-length and mutual-attention network for epileptic seizure classification7
Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling7
An interpretable approach for automatic aesthetic assessment of remote sensing images7
Prestimulus α/β power in temporal-order judgments: individuals differ in direction of modulation but show consistency over auditory and visual tasks6
Mean-field based framework for forward modeling of LFP and MEG signals6
A computational classification method of breast cancer images using the VGGNet model6
Computing the partition dimension of certain families of Toeplitz graph6
Mind Causality: A Computational Neuroscience Approach6
Noise-tuned bursting in a Hedgehog burster6
Role of Lateral Inhibition on Visual Number Sense6
Editorial: Computer vision and image synthesis for neurological applications6
Method for persistent topological features extraction of schizophrenia patients’ electroencephalography signal based on persistent homology6
Predicting Brain Regions Related to Alzheimer's Disease Based on Global Feature6
Quantifying network behavior in the rat prefrontal cortex6
Cross-site scripting attack detection based on a modified convolution neural network6
Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network6
U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis6
The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions6
Hyperscanning fNIRS data analysis using multiregression dynamic models: an illustration in a violin duo6
Multi-sequence generative adversarial network: better generation for enhanced magnetic resonance imaging images6
Biases in BCI experiments: Do we really need to balance stimulus properties across categories?6
Unified theory of alpha, mu, and tau rhythms via eigenmodes of brain activity6
Editorial: Advances in computer science and their impact on data acquisition and analysis in neuroscience5
The synaptic correlates of serial position effects in sequential working memory5
A neuro-inspired computational model of life-long learning and catastrophic interference, mimicking hippocampus novelty-based dopamine modulation and lateral inhibitory plasticity5
A combinatorial deep learning method for Alzheimer’s disease classification-based merging pretrained networks5
Classification of dry and wet macular degeneration based on the ConvNeXT model5
Locomotor Pattern and Force Generation Modulated by Ionic Channels: A Computational Study of Spinal Networks Underlying Locomotion5
Simulating combined monoaminergic depletions in a PD animal model through a bio-constrained differential equations system5
Neurocomputational mechanisms underlying perception and sentience in the neocortex5
Controlling neocortical epileptic seizures using forced temporal spike-time stimulation: an in silico computational study5
Automated karyogram analysis for early detection of genetic and neurodegenerative disorders: a hybrid machine learning approach5
Synaptic plasticity facilitates oscillations in a V1 cortical column model with multiple interneuron types5
Response of a neuronal network computational model to infrared neural stimulation5
Integrated world modeling theory expanded: Implications for the future of consciousness5
The connectivity degree controls the difficulty in reservoir design of random boolean networks5
Editorial: Computational modeling and machine learning methods in neurodevelopment and neurodegeneration: from basic research to clinical applications5
Analysis of abnormal posture in patients with Parkinson's disease using a computational model considering muscle tones5
Monitoring and Evaluation of Emotion Regulation by Aerobic Exercise and Motor Imagery Based on Functional Near-Infrared Spectroscopy5
Gated Recurrent Units Viewed Through the Lens of Continuous Time Dynamical Systems5
Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols5
Corrigendum: An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction5
Dynamics and Information Import in Recurrent Neural Networks5
Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding5
A new method for identifying and evaluating depressive disorders in young people based on cognitive neurocomputing: an exploratory study5
Novel deep learning framework for detection of epileptic seizures using EEG signals5
Maximal Dependence Capturing as a Principle of Sensory Processing5
Skeleton-based motion prediction: A survey5
An N400 identification method based on the combination of Soft-DTW and transformer5
Analytic Model for Feature Maps in the Primary Visual Cortex5
Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review5
Developing a hippocampal neural prosthetic to facilitate human memory encoding and recall of stimulus features and categories5
Can Deep Learning Hit a Moving Target? A Scoping Review of Its Role to Study Neurological Disorders in Children5
An efficient approach for textual data classification using deep learning5
Exploring the neural basis of creativity: EEG analysis of power spectrum and functional connectivity during creative tasks in school-aged children5
Erratum: Covariance properties under natural image transformations for the generalised Gaussian derivative model for visual receptive fields5
Facial emotion recognition using deep quantum and advanced transfer learning mechanism5
Editorial: Modeling brain function at the level of neurons and circuits via computational and data-driven approaches5
Research on the spatial layout optimization strategy of Huaihe Road Commercial Block in Hefei city based on space syntax theory5
Symmetry-Based Representations for Artificial and Biological General Intelligence5
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