Frontiers in Computational Neuroscience

Papers
(The TQCC of Frontiers in Computational Neuroscience is 6. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Editorial: Symmetry as a guiding principle in artificial and brain neural networks103
Biologically Inspired Deep Learning Model for Efficient Foveal-Peripheral Vision88
Meta-Learning for Decoding Neural Activity Data With Noisy Labels82
High precision visual localization method of UAV based on feature matching74
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 m64
Toward Precise Localization of Abnormal Brain Activity: 1D CNN on Single Voxel fMRI Time-Series45
Research on efficient feature extraction: Improving YOLOv5 backbone for facial expression detection in live streaming scenes44
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 reinforcements40
Short-term postsynaptic plasticity facilitates predictive tracking in continuous attractors35
A novel multi-feature fusion attention neural network for the recognition of epileptic EEG signals35
FacialNet: facial emotion recognition for mental health analysis using UNet segmentation with transfer learning model33
NeuroFusionNet: cross-modal modeling from brain activity to visual understanding32
Predictive coding with spiking neurons and feedforward gist signaling29
Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices27
DTCNet: finger flexion decoding with three-dimensional ECoG data26
Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review26
Super special relativity25
A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics25
Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective24
Performance control study of interleaved meltblown non-woven materials based on statistical analysis and predictive modeling24
Production of adaptive movement patterns via an insect inspired spiking neural network central pattern generator24
Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson’s Patients23
Editorial: The embodied brain: computational mechanisms of integrated sensorimotor interactions with a dynamic environment, volume II22
Toward a computational theory of manifold untangling: from global embedding to local flattening22
Online spike-based recognition of digits with ultrafast microlaser neurons22
The mesoanatomy of the cortex, minimization of free energy, and generative cognition22
Text clustering based on pre-trained models and autoencoders21
Grid cells, border cells, and discrete complex analysis20
The cognitive impacts of large language model interactions on problem solving and decision making using EEG analysis20
ModFus-PD: synergizing cross-modal attention and contrastive learning for enhanced multimodal diagnosis of Parkinson’s disease19
Quantitative prediction of intracellular dynamics and synaptic currents in a small neural circuit19
Dynamic PET Imaging Using Dual Texture Features19
Patient-specific approach using data fusion and adversarial training for epileptic seizure prediction18
Reservoir based spiking models for univariate Time Series Classification18
Heart disease detection based on internet of things data using linear quadratic discriminant analysis and a deep graph convolutional neural network18
Editorial: The new frontier in brain network physiology: from temporal dynamics to the principles of integration in physiological brain networks17
Neuro-environmental interactions: a time sensitive matter17
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
Multimodal sleep staging network based on obstructive sleep apnea16
Extracting Dynamical Understanding From Neural-Mass Models of Mouse Cortex16
The Use of Reduced Models to Generate Irregular, Broad-Band Signals That Resemble Brain Rhythms16
Ayu-Characterization of healthy aging from neuroimaging data with deep learning and rsfMRI15
The effect of hearing impairment and social participation on depressive symptoms in older adults: a cross-lagged analysis15
Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification15
Multiscale modeling of neuronal dynamics in hippocampus CA115
Perineuronal nets restrict transport near the neuron surface: A coarse-grained molecular dynamics study14
Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks14
Emergent Dynamics and Spatio Temporal Patterns on Multiplex Neuronal Networks14
iSeizdiag: toward the framework development of epileptic seizure detection for healthcare13
Flexible intentions: An Active Inference theory13
Editorial: Psychological and cognitive evaluation and intervention based on physiological and behavioral computing13
Smoking behavior detection algorithm based on YOLOv8-MNC13
Insertion Guidance Based on Impedance Measurements of a Cochlear Electrode Array12
Decoding the application of deep learning in neuroscience: a bibliometric analysis12
Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn12
Short-Term Plasticity Regulates Both Divisive Normalization and Adaptive Responses in Drosophila Olfactory System12
Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces12
Spatio-Temporally Efficient Coding Assigns Functions to Hierarchical Structures of the Visual System12
The decoupling between hemodynamic parameters and neural activity implies a complex origin of spontaneous brain oscillations12
Deep learning for detecting prenatal alcohol exposure in pediatric brain MRI: a transfer learning approach with explainability insights12
Editorial: Recent advances in EEG (non-invasive) based BCI applications11
Nonlinear analysis of neuronal firing modulated by sinusoidal stimulation at axons in rat hippocampus11
Editorial: Interdisciplinary synergies in neuroinformatics, cognitive computing, and computational neuroscience11
LGNN: a novel linear graph neural network algorithm11
Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II11
Single channel approach for filtering electroencephalographic signals strongly contaminated with facial electromyography11
Improving imbalance classification via ensemble learning based on two-stage learning11
Ensemble deep learning for brain tumor detection11
Feedback stabilization of probabilistic finite state machines based on deep Q-network10
Regulation of sharp wave-ripples by cholecystokinin-expressing interneurons and parvalbumin-expressing basket cells in the hippocampal CA3 region10
A novel associative memory model based on semi-tensor product (STP)10
End-to-end model-based trajectory prediction for ro-ro ship route using dual-attention mechanism10
Reinforcement Learning Model With Dynamic State Space Tested on Target Search Tasks for Monkeys: Extension to Learning Task Events10
Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection10
A new method for community-based intelligent screening of early Alzheimer’s disease populations based on digital biomarkers of the writing process10
On the similarities of representations in artificial and brain neural networks for speech recognition10
System-level brain modeling10
Does Your Loved One With Cognitive Symptoms Need to See a Doctor? Check It Online10
Neuronal and behavioral affective perceptions of human and naturalness-reduced emotional prosodies10
A computational approach based on weighted gene co-expression network analysis for biomarkers analysis of Parkinson’s disease and construction of diagnostic model10
Addressing skepticism of the critical brain hypothesis10
Information bottleneck-based Hebbian learning rule naturally ties working memory and synaptic updates9
Reinforcement Learning for Central Pattern Generation in Dynamical Recurrent Neural Networks9
Editorial: Neuro-inspired sensing and computing: Novel materials, devices, and systems9
Dynamics of a model for the degradation mechanism of aggregated α-synuclein in Parkinson's disease9
Explaining Orientation Adaptation in V1 by Updating the State of a Spatial Model9
Feature separation and adversarial training for the patient-independent detection of epileptic seizures9
Controlling Alzheimer’s Disease Through the Deep Brain Stimulation to Thalamic Relay Cells9
Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition9
Kohonen neural network and symbiotic-organism search algorithm for intrusion detection of network viruses9
A spatial map: a propitious choice for constraining the binding problem9
Degeneracy and stability in neural circuits of dopamine and serotonin neuromodulators: A theoretical consideration9
The significance of cerebellar contributions in early-life through aging8
Unification of free energy minimization, spatiotemporal energy, and dimension reduction models of V1 organization: Postnatal learning on an antenatal scaffold8
Network Model With Reduced Metabolic Rate Predicts Spatial Synchrony of Neuronal Activity8
U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis8
Reductionist modeling of calcium-dependent dynamics in recurrent neural networks8
Method for persistent topological features extraction of schizophrenia patients’ electroencephalography signal based on persistent homology8
Positional multi-length and mutual-attention network for epileptic seizure classification8
An Approach for Stabilizing Abnormal Neural Activity in ADHD Using Chaotic Resonance8
A machine learning approach to evaluate the impact of virtual balance/cognitive training on fall risk in older women8
Impact of DC-Coupled Electrophysiological Recordings for Translational Neuroscience: Case Study of Tracking Neural Dynamics in Rodent Models of Seizures8
Complexity-based graph convolutional neural network for epilepsy diagnosis in normal, acute, and chronic stages8
Mean-field based framework for forward modeling of LFP and MEG signals8
Learning delays through gradients and structure: emergence of spatiotemporal patterns in spiking neural networks8
Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling8
Clustering and disease subtyping in Neuroscience, toward better methodological adaptations8
Improving Between-Group Effect Size for Multi-Site Functional Connectivity Data via Site-Wise De-Meaning8
Leveraging conscious and nonconscious learning for efficient AI8
Emergence of Lie Symmetries in Functional Architectures Learned by CNNs8
Dentate gyrus granule cell activation following extracellular electrical stimulation: a multi-scale computational model to guide hippocampal neurostimulation strategies8
Computing the partition dimension of certain families of Toeplitz graph8
An interpretable approach for automatic aesthetic assessment of remote sensing images8
A combinatorial deep learning method for Alzheimer’s disease classification-based merging pretrained networks7
Cross-site scripting attack detection based on a modified convolution neural network7
Prestimulus α/β power in temporal-order judgments: individuals differ in direction of modulation but show consistency over auditory and visual tasks7
Quantifying network behavior in the rat prefrontal cortex7
Interpreting the decisions of CNNs via influence functions7
Latent dynamics of primary sensory cortical population activity structured by fluctuations in the local field potential7
Unified theory of alpha, mu, and tau rhythms via eigenmodes of brain activity7
A computational classification method of breast cancer images using the VGGNet model7
Automated karyogram analysis for early detection of genetic and neurodegenerative disorders: a hybrid machine learning approach7
Hyperscanning fNIRS data analysis using multiregression dynamic models: an illustration in a violin duo7
Multi-sequence generative adversarial network: better generation for enhanced magnetic resonance imaging images7
Editorial: Computer vision and image synthesis for neurological applications7
Motor cortex outputs evoked by long-duration microstimulation encode synergistic muscle activation patterns not controlled movement trajectories7
Simulation of neuroplasticity in a CNN-based in-silico model of neurodegeneration of the visual system7
The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions7
Noise-tuned bursting in a Hedgehog burster7
Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review7
Biases in BCI experiments: Do we really need to balance stimulus properties across categories?7
Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network7
A Model of Pattern Separation by Single Neurons7
A neural learning approach for simultaneous object detection and grasp detection in cluttered scenes7
Book review: Electrical fields and the experienced life7
Role of Lateral Inhibition on Visual Number Sense7
Novel deep learning framework for detection of epileptic seizures using EEG signals7
The connectivity degree controls the difficulty in reservoir design of random boolean networks6
Synaptic plasticity facilitates oscillations in a V1 cortical column model with multiple interneuron types6
Analytic Model for Feature Maps in the Primary Visual Cortex6
Developing a hippocampal neural prosthetic to facilitate human memory encoding and recall of stimulus features and categories6
Locomotor Pattern and Force Generation Modulated by Ionic Channels: A Computational Study of Spinal Networks Underlying Locomotion6
An N400 identification method based on the combination of Soft-DTW and transformer6
Multi-atlas ensemble graph neural network model for major depressive disorder detection using functional MRI data6
Editorial: Advances in computer science and their impact on data acquisition and analysis in neuroscience6
The synaptic correlates of serial position effects in sequential working memory6
Analysis of abnormal posture in patients with Parkinson's disease using a computational model considering muscle tones6
A neuro-inspired computational model of life-long learning and catastrophic interference, mimicking hippocampus novelty-based dopamine modulation and lateral inhibitory plasticity6
Facial emotion recognition using deep quantum and advanced transfer learning mechanism6
An efficient approach for textual data classification using deep learning6
Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding6
Response of a neuronal network computational model to infrared neural stimulation6
Editorial: Computational modeling and machine learning methods in neurodevelopment and neurodegeneration: from basic research to clinical applications6
A new method for identifying and evaluating depressive disorders in young people based on cognitive neurocomputing: an exploratory study6
Integrated world modeling theory expanded: Implications for the future of consciousness6
Symmetry-Based Representations for Artificial and Biological General Intelligence6
Classification of dry and wet macular degeneration based on the ConvNeXT model6
Monitoring and Evaluation of Emotion Regulation by Aerobic Exercise and Motor Imagery Based on Functional Near-Infrared Spectroscopy6
Maximal Dependence Capturing as a Principle of Sensory Processing6
Research on the spatial layout optimization strategy of Huaihe Road Commercial Block in Hefei city based on space syntax theory6
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