Frontiers in Computational Neuroscience

Papers
(The median citation count of Frontiers in Computational Neuroscience is 2. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
A Study on Arrhythmia via ECG Signal Classification Using the Convolutional Neural Network95
A Deep Learning Approach for Automatic Seizure Detection in Children With Epilepsy92
ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data73
Review on Emotion Recognition Based on Electroencephalography61
EEG-based emotion recognition using hybrid CNN and LSTM classification57
Spiking Neural Network (SNN) With Memristor Synapses Having Non-linear Weight Update42
Ensemble deep learning for brain tumor detection40
Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review40
GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity36
Whole-Brain Network Models: From Physics to Bedside28
Fast Simulations of Highly-Connected Spiking Cortical Models Using GPUs28
Learning Generative State Space Models for Active Inference27
Criticality, Connectivity, and Neural Disorder: A Multifaceted Approach to Neural Computation26
Status of deep learning for EEG-based brain–computer interface applications26
RETRACTED: Deep Learning for Autism Diagnosis and Facial Analysis in Children25
A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics24
Toward Reflective Spiking Neural Networks Exploiting Memristive Devices23
Will We Ever Have Conscious Machines?23
Learning Invariant Object and Spatial View Representations in the Brain Using Slow Unsupervised Learning22
Fano Factor: A Potentially Useful Information22
Evaluation of Synergy Extrapolation for Predicting Unmeasured Muscle Excitations from Measured Muscle Synergies21
Electroencephalogram Emotion Recognition Based on 3D Feature Fusion and Convolutional Autoencoder20
Dynamic models for musical rhythm perception and coordination20
Functional Brain Networks in Mild Cognitive Impairment Based on Resting Electroencephalography Signals20
Hardware Design for Autonomous Bayesian Networks20
Synchronization in simplicial complexes of memristive Rulkov neurons19
Spatiotemporal Patterns of Adaptation-Induced Slow Oscillations in a Whole-Brain Model of Slow-Wave Sleep19
Symmetry-Based Representations for Artificial and Biological General Intelligence18
Mean-field based framework for forward modeling of LFP and MEG signals18
Quantitative Assessment of Stress Through EEG During a Virtual Reality Stress-Relax Session18
Gated Recurrent Units Viewed Through the Lens of Continuous Time Dynamical Systems16
Neural Substrates of the Drift-Diffusion Model in Brain Disorders16
Accelerating Inference of Convolutional Neural Networks Using In-memory Computing16
Active inference, morphogenesis, and computational psychiatry15
Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices15
Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP15
Emergence of Neuronal Synchronisation in Coupled Areas15
Addressing skepticism of the critical brain hypothesis15
Efficient Temporal Coding in the Early Visual System: Existing Evidence and Future Directions14
A Connectome-Based, Corticothalamic Model of State- and Stimulation-Dependent Modulation of Rhythmic Neural Activity and Connectivity14
Free-Energy Model of Emotion Potential: Modeling Arousal Potential as Information Content Induced by Complexity and Novelty14
On the Validity of Neural Mass Models14
Two-Scale Multimodal Medical Image Fusion Based on Structure Preservation14
Identifying Individuals With Mild Cognitive Impairment Using Working Memory-Induced Intra-Subject Variability of Resting-State EEGs13
Integrated world modeling theory expanded: Implications for the future of consciousness13
Unsupervised Learning and Clustered Connectivity Enhance Reinforcement Learning in Spiking Neural Networks13
Multidimensional Face Representation in a Deep Convolutional Neural Network Reveals the Mechanism Underlying AI Racism13
Mechanical Learning for Prediction of Sepsis-Associated Encephalopathy12
Compensatory mechanism of attention-deficit/hyperactivity disorder recovery in resting state alpha rhythms12
Mind Causality: A Computational Neuroscience Approach12
Evaluating State Space Discovery by Persistent Cohomology in the Spatial Representation System12
Editorial: Recent advances in EEG (non-invasive) based BCI applications12
Prediction and Modeling of Neuropsychological Scores in Alzheimer’s Disease Using Multimodal Neuroimaging Data and Artificial Neural Networks12
InverseMuscleNET: Alternative Machine Learning Solution to Static Optimization and Inverse Muscle Modeling11
Structural Features of the Human Connectome That Facilitate the Switching of Brain Dynamics via Noradrenergic Neuromodulation11
Integrating ankle and hip strategies for the stabilization of upright standing: An intermittent control model11
An efficient computer vision-based approach for acute lymphoblastic leukemia prediction11
Self-decisive algorithm for unconstrained optimization problems as in biomedical image analysis11
Machine Learning to Predict Brain Amyloid Pathology in Pre-dementia Alzheimer’s Disease Using QEEG Features and Genetic Algorithm Heuristic11
Computational Evidence for a Competitive Thalamocortical Model of Spikes and Spindle Activity in Rolandic Epilepsy11
Research on efficient feature extraction: Improving YOLOv5 backbone for facial expression detection in live streaming scenes11
Deep Gated Hebbian Predictive Coding Accounts for Emergence of Complex Neural Response Properties Along the Visual Cortical Hierarchy11
DNNBrain: A Unifying Toolbox for Mapping Deep Neural Networks and Brains11
Photorealistic Reconstruction of Visual Texture From EEG Signals11
Comparison of Two-Dimensional- and Three-Dimensional-Based U-Net Architectures for Brain Tissue Classification in One-Dimensional Brain CT11
Event-Based Trajectory Prediction Using Spiking Neural Networks10
E2ENNet: An end-to-end neural network for emotional brain-computer interface10
Improvement of Multiparametric MR Image Segmentation by Augmenting the Data With Generative Adversarial Networks for Glioma Patients10
Behavioral Time Scale Plasticity of Place Fields: Mathematical Analysis10
Time Is of the Essence: Neural Codes, Synchronies, Oscillations, Architectures10
Improving Between-Group Effect Size for Multi-Site Functional Connectivity Data via Site-Wise De-Meaning10
Performance Analysis With Different Types of Visual Stimuli in a BCI-Based Speller Under an RSVP Paradigm10
The Face Module Emerged in a Deep Convolutional Neural Network Selectively Deprived of Face Experience10
A Neuron-Glial Model of Exosomal Release in the Onset and Progression of Alzheimer's Disease10
Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine Learning10
Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial Networks10
Assessment of Carotid Plaque Stability Using Contrast-Enhanced Ultrasound and Its Correlation With the Expression of CD147 and MMP-9 in the Plaque10
The Concept of Symmetry and the Theory of Perception9
Neck Pain: Do We Know Enough About the Sensorimotor Control System?9
Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding9
Transfer learning-based modified inception model for the diagnosis of Alzheimer's disease9
Multiple-Timescale Neural Networks: Generation of History-Dependent Sequences and Inference Through Autonomous Bifurcations9
Dynamics and Information Import in Recurrent Neural Networks9
Quantifying the Landscape of Decision Making From Spiking Neural Networks9
A Neuromechanical Model of Multiple Network Rhythmic Pattern Generators for Forward Locomotion in C. elegans9
An efficient approach for textual data classification using deep learning9
Identification of Exploration and Exploitation Balance in the Silkmoth Olfactory Search Behavior by Information-Theoretic Modeling9
A Complex-Valued Oscillatory Neural Network for Storage and Retrieval of Multidimensional Aperiodic Signals8
A Non-spiking Neuron Model With Dynamic Leak to Avoid Instability in Recurrent Networks8
EEGs Vary Less Between Lab and Home Locations Than They Do Between People8
A Computational Model of Working Memory Based on Spike-Timing-Dependent Plasticity8
Identification of Emotion Using Electroencephalogram by Tunable Q-Factor Wavelet Transform and Binary Gray Wolf Optimization8
Smoking behavior detection algorithm based on YOLOv8-MNC8
Explosive Synchronization-Based Brain Modulation Reduces Hypersensitivity in the Brain Network: A Computational Model Study8
Method for persistent topological features extraction of schizophrenia patients’ electroencephalography signal based on persistent homology8
Stability Evaluation of Brain Changes in Parkinson's Disease Based on Machine Learning8
Critical and Ictal Phases in Simulated EEG Signals on a Small-World Network8
Nonlinear Control in the Nematode C. elegans8
Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications8
Predictive neuromodulation of cingulo-frontal neural dynamics in major depressive disorder using a brain-computer interface system: A simulation study8
A Neuroscience Levels of Explanation Approach to the Mind and the Brain7
A Simplified Plasticity Model Based on Synaptic Tagging and Capture Theory: Simplified STC7
Interpretation of Frequency Channel-Based CNN on Depression Identification7
Heart disease detection based on internet of things data using linear quadratic discriminant analysis and a deep graph convolutional neural network7
Disorder and the Neural Representation of Complex Odors7
Implementation-Independent Representation for Deep Convolutional Neural Networks and Humans in Processing Faces7
Emotion Recognition Based on Dynamic Energy Features Using a Bi-LSTM Network7
The Face Inversion Effect in Deep Convolutional Neural Networks7
A mechanistic model of ADHD as resulting from dopamine phasic/tonic imbalance during reinforcement learning7
HTsort: Enabling Fast and Accurate Spike Sorting on Multi-Electrode Arrays7
Toward a unifying framework for the modeling and identification of motor primitives7
From Topological Analyses to Functional Modeling: The Case of Hippocampus7
A computational approach based on weighted gene co-expression network analysis for biomarkers analysis of Parkinson’s disease and construction of diagnostic model6
Editorial: Understanding the Importance of Temporal Coupling of Neural Activities in Information Processing Underlying Action and Perception6
Local Homeostatic Regulation of the Spectral Radius of Echo-State Networks6
Insertion Guidance Based on Impedance Measurements of a Cochlear Electrode Array6
An Approach for Stabilizing Abnormal Neural Activity in ADHD Using Chaotic Resonance6
Closed-Loop Tracking and Regulation of Emotional Valence State From Facial Electromyogram Measurements6
Quasicriticality explains variability of human neural dynamics across life span6
A Network Architecture for Bidirectional Neurovascular Coupling in Rat Whisker Barrel Cortex6
Optimal Organization of Functional Connectivity Networks for Segregation and Integration With Large-Scale Critical Dynamics in Human Brains6
Granular layEr Simulator: Design and Multi-GPU Simulation of the Cerebellar Granular Layer6
Predicting the distribution of serotonergic axons: a supercomputing simulation of reflected fractional Brownian motion in a 3D-mouse brain model6
Biosignal-Based Attention Monitoring to Support Nuclear Operator Safety-Relevant Tasks6
Simulation and Mitigation of the Wrap-Around Artifact in the MRI Image6
RETRACTED: Cerebral Microbleed Detection via Convolutional Neural Network and Extreme Learning Machine6
Flexible intentions: An Active Inference theory6
Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson’s Patients6
A flexible speller based on time-space frequency conversion SSVEP stimulation paradigm under dry electrode6
Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms5
Extracting Dynamical Understanding From Neural-Mass Models of Mouse Cortex5
Short- and Long-Range Connections Differentially Modulate the Dynamics and State of Small-World Networks5
Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception5
Functional Brain Connections Identify Sensorineural Hearing Loss and Predict the Outcome of Cochlear Implantation5
Kohonen neural network and symbiotic-organism search algorithm for intrusion detection of network viruses5
Visual Explanation for Identification of the Brain Bases for Developmental Dyslexia on fMRI Data5
Identification of feature genes and pathways for Alzheimer's disease via WGCNA and LASSO regression5
The Connectivity Fingerprints of Highly-Skilled and Disordered Reading Persist Across Cognitive Domains5
Comparing Theories for the Maintenance of Late LTP and Long-Term Memory: Computational Analysis of the Roles of Kinase Feedback Pathways and Synaptic Reactivation5
GAPCNN with HyPar: Global Average Pooling convolutional neural network with novel NNLU activation function and HYBRID parallelism5
Fractional-Order Traveling Wave Approximations for a Fractional-Order Neural Field Model5
Predicting Spike Features of Hodgkin-Huxley-Type Neurons With Simple Artificial Neural Network5
The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions5
Functional Connectivity and Complexity in the Phenomenological Model of Mild Cognitive-Impaired Alzheimer's Disease5
Multi-Granularity Analysis of Brain Networks Assembled With Intra-Frequency and Cross-Frequency Phase Coupling for Human EEG After Stroke5
Semantic Relatedness Emerges in Deep Convolutional Neural Networks Designed for Object Recognition5
Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn5
Understanding implicit and explicit sensorimotor learning through neural dynamics5
Research on the spatial layout optimization strategy of Huaihe Road Commercial Block in Hefei city based on space syntax theory5
Neural Systems Under Change of Scale5
Analysis based on neural representation of natural object surfaces to elucidate the mechanisms of a trained AlexNet model5
A CNN-Based Deep Learning Approach for SSVEP Detection Targeting Binaural Ear-EEG5
SRI-EEG: State-Based Recurrent Imputation for EEG Artifact Correction5
Abnormal Dynamic Functional Networks in Subjective Cognitive Decline and Alzheimer's Disease5
A Multiscale, Systems-Level, Neuropharmacological Model of Cortico-Basal Ganglia System for Arm Reaching Under Normal, Parkinsonian, and Levodopa Medication Conditions5
Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols5
Ayu-Characterization of healthy aging from neuroimaging data with deep learning and rsfMRI5
Interactions of Medial and Lateral Prefrontal Cortex in Hierarchical Predictive Coding5
A Noninvasive BCI System for 2D Cursor Control Using a Spectral-Temporal Long Short-Term Memory Network4
Movie Events Detecting Reveals Inter-Subject Synchrony Difference of Functional Brain Activity in Autism Spectrum Disorder4
Cross-site scripting attack detection based on a modified convolution neural network4
Differential Contributions of Inhibitory Subnetwork to Visual Cortical Modulations Identified via Computational Model of Working Memory4
Noise-tuned bursting in a Hedgehog burster4
A P300-Detection Method Based on Logistic Regression and a Convolutional Neural Network4
Sparse Granger Causality Analysis Model Based on Sensors Correlation for Emotion Recognition Classification in Electroencephalography4
Human Texture Vision as Multi-Order Spectral Analysis4
Text clustering based on pre-trained models and autoencoders4
A Neural Controller Model Considering the Vestibulospinal Tract in Human Postural Control4
A neural learning approach for simultaneous object detection and grasp detection in cluttered scenes4
Learning cortical hierarchies with temporal Hebbian updates4
How Many Muscles? Optimal Muscles Set Search for Optimizing Myocontrol Performance4
A Radiomics Nomogram for Non-Invasive Prediction of Progression-Free Survival in Esophageal Squamous Cell Carcinoma4
Convolutional neural networks for vision neuroscience: significance, developments, and outstanding issues4
Finger Gesture Recognition Using Sensing and Classification of Surface Electromyography Signals With High-Precision Wireless Surface Electromyography Sensors4
Cortico-Hippocampal Computational Modeling Using Quantum-Inspired Neural Networks4
Chimera Patterns of Synchrony in a Frustrated Array of Hebb Synapses4
Recent Trends in Non-invasive Neural Recording Based Brain-to-Brain Synchrony Analysis on Multidisciplinary Human Interactions for Understanding Brain Dynamics: A Systematic Review4
Invariance of object detection in untrained deep neural networks4
Augmenting Human Selves Through Artificial Agents – Lessons From the Brain4
Double Two-State Opsin Model With Autonomous Parameter Inference4
Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma?—A Feasibility Study4
Generalised Analog LSTMs Recurrent Modules for Neural Computing4
Soft error mitigation and recovery of SRAM-based FPGAs using brain-inspired hybrid-grained scrubbing mechanism4
A Plane-Dependent Model of 3D Grid Cells for Representing Both 2D and 3D Spaces Under Various Navigation Modes4
Topographic Organization of Correlation Along the Longitudinal and Transverse Axes in Rat Hippocampal CA3 Due to Excitatory Afferents4
Dynamic PET Imaging Using Dual Texture Features4
Response of a neuronal network computational model to infrared neural stimulation4
Clustering and disease subtyping in Neuroscience, toward better methodological adaptations4
neuroAIx-Framework: design of future neuroscience simulation systems exhibiting execution of the cortical microcircuit model 20× faster than biological real-time4
Bayesian continual learning via spiking neural networks4
Hierarchical Sequencing and Feedforward and Feedback Control Mechanisms in Speech Production: A Preliminary Approach for Modeling Normal and Disordered Speech4
Hierarchical Sparse Coding of Objects in Deep Convolutional Neural Networks4
Finding the Location of Axonal Activation by a Miniature Magnetic Coil4
Image Quality Evaluation of Light Field Image Based on Macro-Pixels and Focus Stack4
Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation4
Decoding Digital Visual Stimulation From Neural Manifold With Fuzzy Leaning on Cortical Oscillatory Dynamics4
Computing the partition dimension of certain families of Toeplitz graph4
Deep Residual Convolutional Neural Networks for Brain–Computer Interface to Visualize Neural Processing of Hand Movements in the Human Brain4
Locomotor Pattern and Force Generation Modulated by Ionic Channels: A Computational Study of Spinal Networks Underlying Locomotion4
Emergent Dynamics and Spatio Temporal Patterns on Multiplex Neuronal Networks4
The effect of hearing impairment and social participation on depressive symptoms in older adults: a cross-lagged analysis4
A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network3
A Model of Pattern Separation by Single Neurons3
Quantification of Kuramoto Coupling Between Intrinsic Brain Networks Applied to fMRI Data in Major Depressive Disorder3
Enhanced simulations of whole-brain dynamics using hybrid resting-state structural connectomes3
Can Deep Learning Hit a Moving Target? A Scoping Review of Its Role to Study Neurological Disorders in Children3
Decoding Neuropathic Pain: Can We Predict Fluctuations of Propagation Speed in Stimulated Peripheral Nerve?3
A Computational Framework for Controlling the Self-Restorative Brain Based on the Free Energy and Degeneracy Principles3
Analysis of the Neuron Dynamics in Thalamic Reticular Nucleus by a Reduced Model3
Production of adaptive movement patterns via an insect inspired spiking neural network central pattern generator3
Computational modeling of trans-synaptic nanocolumns, a modulator of synaptic transmission3
A computational classification method of breast cancer images using the VGGNet model3
A modelling study to dissect the potential role of voltage-gated ion channels in activity-dependent conduction velocity changes as identified in small fiber neuropathy patients3
High precision visual localization method of UAV based on feature matching3
Accurate Prediction of Children's ADHD Severity Using Family Burden Information: A Neural Lasso Approach3
Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network3
Brain-Inspired Affective Empathy Computational Model and Its Application on Altruistic Rescue Task3
Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training3
Computational Modeling of Synchrony in the Auditory Nerve in Response to Acoustic and Electric Stimulation3
Interlayer Connectivity Affects the Coherence Resonance and Population Activity Patterns in Two-Layered Networks of Excitatory and Inhibitory Neurons3
Perineuronal nets restrict transport near the neuron surface: A coarse-grained molecular dynamics study3
CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks3
Geometric algebra based recurrent neural network for multi-dimensional time-series prediction3
Computational Efficiency of a Modular Reservoir Network for Image Recognition3
Editorial: Memristor Computing for Neuromorphic Systems3
Ramping activity in the striatum3
Transfer of Learning in the Convolutional Neural Networks on Classifying Geometric Shapes Based on Local or Global Invariants3
Emergence of Lie Symmetries in Functional Architectures Learned by CNNs3
Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective3
Measuring and Modeling the Effect of Audio on Human Focus in Everyday Environments Using Brain-Computer Interface Technology3
Data-Driven Model of Postsynaptic Currents Mediated by NMDA or AMPA Receptors in Striatal Neurons3
On the Role of Neural Oscillations Across Timescales in Speech and Music Processing3
Dynamic probability integration for electroencephalography-based rapid serial visual presentation performance enhancement: Application in nighttime vehicle detection3
Development of Atypical Reading at Ages 5 to 9 Years and Processing of Speech Envelope Modulations in the Brain3
Training spiking neuronal networks to perform motor control using reinforcement and evolutionary learning3
An Adaptive Information Security System for 5G-Enabled Smart Grid Based on Artificial Neural Network and Case-Based Learning Algorithms3
Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces3
Collective Dynamics of Neural Networks With Sleep-Related Biological Drives in Drosophila3
Examining electroencephalogram signatures of people with multiple sclerosis using a nonlinear dynamics approach: a systematic review and bibliographic analysis3
Monitoring and Evaluation of Emotion Regulation by Aerobic Exercise and Motor Imagery Based on Functional Near-Infrared Spectroscopy3
Improving focality and consistency in micromagnetic stimulation3
Machine learning algorithm performance evaluation in structural magnetic resonance imaging-based classification of pediatric bipolar disorders type I patients3
Network Model With Reduced Metabolic Rate Predicts Spatial Synchrony of Neuronal Activity3
Cross-Frequency Slow Oscillation–Spindle Coupling in a Biophysically Realistic Thalamocortical Neural Mass Model3
Unification of free energy minimization, spatiotemporal energy, and dimension reduction models of V1 organization: Postnatal learning on an antenatal scaffold3
Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network3
Neuronal and behavioral affective perceptions of human and naturalness-reduced emotional prosodies3
Biologically Inspired Deep Learning Model for Efficient Foveal-Peripheral Vision3
Stability of mental motor-imagery classification in EEG depends on the choice of classifier model and experiment design, but not on signal preprocessing3
Detection of Brain Network Communities During Natural Speech Comprehension From Functionally Aligned EEG Sources3
0.060090065002441