International Journal of Neural Systems

Papers
(The median citation count of International Journal of Neural Systems is 3. 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
Introduction89
Response to the Discussion on S. Shirani, A. Valentin, G. Alarcon, F. Kazi and S. Sanei, Separating Inhibitory and Excitatory Responses of Epileptic Brain to Single-Pulse Electrical Stimulation, Inter78
Introduction71
Adolescent Depression Detection Model Based on Multimodal Data of Interview Audio and Text50
Epileptic Seizure Prediction Using Spatiotemporal Feature Fusion on EEG50
Continual Learning by Contrastive Learning of Regularized Classes in Multivariate Gaussian Distributions50
Editorial — A journal that promotes excellence through uncompromising review process: Reflection of freedom of speech and scientific publication46
A Heterogeneous Attractor Model for Neural Dynamical mechanism of Movement Preparation43
A Modified Long Short-Term Memory Cell42
Synchronization Analysis In Epileptic EEG Signals Via State Transfer Networks Based On Visibility Graph Technique38
Seizure Forecasting Using Long-Term Electroencephalography and Electrocardiogram Data38
Impulsivity Classification Using EEG Power and Explainable Machine Learning37
A Bidirectional Feedforward Neural Network Architecture Using the Discretized Neural Memory Ordinary Differential Equation35
Evolving a Pipeline Approach for Abstract Meaning Representation Parsing Towards Dynamic Neural Networks34
Cultural Differences in the Assessment of Synthetic Voices30
A Novel State Space Model with Dynamic Graphic Neural Network for EEG Event Detection30
Brain Networks Modulation in Young and Old Subjects During Transcranial Direct Current Stimulation Applied on Prefrontal and Parietal Cortex29
Unraveling the Differential Efficiency of Dorsal and Ventral Pathways in Visual Semantic Decoding29
Scene Text Detection Based on Text Stroke Components29
Detecting Connected Consciousness During Propofol-Induced Anesthesia Using EEG Based Brain Decoding27
Hysteresis Modeling in Iron-Dominated Magnets Based on a Multi-Layered NARX Neural Network Approach27
Diagnosis of Autism Disorder Based on Deep Network Trained by Augmented EEG Signals27
Data-Driven Approach to the Analysis of Real-Time FMRI Neurofeedback Data: Disorder-Specific Brain Synchrony in PTSD26
Quantifying the Generation Process of Multi-Level Tactile Sensations via ERP Component Investigation25
Arbitrary Scale Super-Resolution for Medical Images25
Human Silhouette and Skeleton Video Synthesis Through Wi-Fi Signals24
Both Cross-Patient and Patient-Specific Seizure Detection Based on Self-Organizing Fuzzy Logic23
A Time Series Forecasting Approach Based on Nonlinear Spiking Neural Systems23
An Efficient Multi-Objective Evolutionary Zero-Shot Neural Architecture Search Framework for Image Classification23
Driver Drowsiness EEG Detection Based on Tree Federated Learning and Interpretable Network23
Neonatal White Matter Damage Analysis Using DTI Super-Resolution and Multi-Modality Image Registration23
Unsupervised Domain Adaptive Dose Prediction via Cross-Attention Transformer and Target-Specific Knowledge Preservation22
Epileptic EEG Classification by Using Time-Frequency Images for Deep Learning22
Striatum- and Cerebellum-Modulated Epileptic Networks Varying Across States with and without Interictal Epileptic Discharges22
A Graph-Based Neural Approach to Linear Sum Assignment Problems21
The 2024 Hojjat Adeli Award for Outstanding Contributions in Neural Systems21
A Conditional Generative Adversarial Network and Transfer Learning-Oriented Anomaly Classification System for Electrospun Nanofibers21
Multiple-in-Single-Out Object Detector Leveraging Spiking Neural Membrane Systems and Multiple Transformers21
VPNET: Variable Projection Networks21
A Stage-Wise Residual Attention Generation Adversarial Network for Mandibular Defect Repairing and Reconstruction20
Dual-Modal Information Bottleneck Network for Seizure Detection19
Six-Center Assessment of CNN-Transformer with Belief Matching Loss for Patient-Independent Seizure Detection in EEG19
One-Dimensional Local Binary Pattern and Common Spatial Pattern Feature Fusion Brain Network for Central Neuropathic Pain19
Epileptic Seizure Prediction Using Attention Augmented Convolutional Network18
Efficient Seizure Detection by Complementary Integration of Convolutional Neural Network and Vision Transformer18
Semi-Supervised Semantic Image Segmentation by Deep Diffusion Models and Generative Adversarial Networks17
Robust Federated Learning for Heterogeneous Model and Data17
Compact Convolutional Neural Network with Multi-Headed Attention Mechanism for Seizure Prediction17
Coherence-Based Graph Convolution Network to Assess Brain Reorganization in Spinal Cord Injury Patients17
Adaptive Dynamic Surface Control of Epileptor Model Based on Nonlinear Luenberger State Observer16
Editorial: The Art of Editing a High Impact Scientific Journal — The Case of IJNS16
Announcement: The 2021 Hojjat Adeli Award for Outstanding Contributions in Neural Systems16
A Delayed Spiking Neural Membrane System for Adaptive Nearest Neighbor-Based Density Peak Clustering16
Author Index Volume 31 (2021)16
Localization of Epileptic Brain Responses to Single-Pulse Electrical Stimulation by Developing an Adaptive Iterative Linearly Constrained Minimum Variance Beamformer15
Exploiting Textual Information for Fake News Detection15
Incremental Confidence Sampling with Optimal Transport for Domain Adaptation15
Motor Intention Decoding from the Upper Limb by Graph Convolutional Network Based on Functional Connectivity14
Patient-Independent Seizure Detection Based on Channel-Perturbation Convolutional Neural Network and Bidirectional Long Short-Term Memory14
A Hybrid-Domain Deep Learning-Based BCI For Discriminating Hand Motion Planning From EEG Sources13
Discussion on S. Shirani, A. Valentin, G. Alarcon, F. Kazi and S. Sanei, Separating Inhibitory and Excitatory Responses of Epileptic Brain to Single-Pulse Electrical Stimulation, International Journal13
Deep Learning-Based Classification of Epileptic Electroencephalography Signals Using a Concentrated Time-Frequency Approach13
Introduction13
Edge Detection Method Based on Nonlinear Spiking Neural Systems13
Transformer-Based Approach Via Contrastive Learning for Zero-Shot Detection12
Classification of Epileptic and Psychogenic Nonepileptic Seizures via Time–Frequency Features of EEG Data12
A Knowledge-Based Deep Learning Architecture for Aspect-Based Sentiment Analysis12
SATEER: Subject-Aware Transformer for EEG-Based Emotion Recognition12
A Comparison of Conventional and Tri-Polar EEG Electrodes for Decoding Real and Imaginary Finger Movements from One Hand12
Brain Network Organization Following Post-Stroke Neurorehabilitation12
Wavelet-Based Biphase Analysis of Brain Rhythms in Automated Wake–Sleep Classification12
Deep Convolution Generative Adversarial Network-Based Electroencephalogram Data Augmentation for Post-Stroke Rehabilitation with Motor Imagery11
Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning11
Combining EEG Features and Convolutional Autoencoder for Neonatal Seizure Detection11
A New Multi-Resolution Approach to EEG Brain Modeling Using Local-Global Graphs and Stochastic Petri-Nets11
Edge Computing Transformers for Fall Detection in Older Adults11
Epileptic Seizure Prediction Using Deep Transformer Model11
Multitask Adversarial Networks Based on Extensive Nonlinear Spiking Neuron Models10
Hybrid Attention Network for Epileptic EEG Classification10
A Prediction Model for Normal Variation of Somatosensory Evoked Potential During Scoliosis Surgery10
A Sequential End-to-End Neonatal Sleep Staging Model with Squeeze and Excitation Blocks and Sequential Multi-Scale Convolution Neural Networks10
Feature Selection Combining Filter and Wrapper Methods for Motor-Imagery Based Brain–Computer Interfaces10
A Federated Learning Protocol for Spiking Neural Membrane Systems10
Reinforcement Learning May Demystify the Limited Human Motor Learning Efficacy Due to Visual-Proprioceptive Mismatch10
Decoding Saccade Intention From Primate Prefrontal Cortical Local Field Potentials Using Spectral, Spatial, and Temporal Dimensionality Reduction9
Spatial Enhanced Pattern Through Graph Convolutional Neural Network for Epileptic EEG Identification9
Introduction9
Announcement: The 2022 Hojjat Adeli Award for Outstanding Contributions in Neural Systems9
Emotion Classification from EEG with a Low-Cost BCI Versus a High-End Equipment9
The Task-Dependent Modular Covariance Networks Unveiled by Multiple-Way Fusion-Based Analysis9
A Diagnostic Strategy via Multiresolution Synchrosqueezing Transform on Obsessive Compulsive Disorder9
A Model with Dopamine Depletion in Basal Ganglia and Cerebellum Predicts Changes in Thalamocortical Beta Oscillations9
Editorial: River Thames and IJNS9
Movement-Related EEG Oscillations of Contralesional Hemisphere Discloses Compensation Mechanisms of Severely Affected Motor Chronic Stroke Patients9
Exploring the Versatility of Spiking Neural Networks: Applications Across Diverse Scenarios8
Announcement: The 2023 Hojjat Adeli Award for Outstanding Contributions in Neural Systems8
First Longitudinal Study Using Binaural Beats on Parkinson Disease8
Fractal Dimension Feature as a Signature of Severity in Disorders of Consciousness: An EEG Study8
Facial Affect Recognition in Immersive Virtual Reality: Where is the Participant Looking?8
Autism Spectrum Disorder Detection Using Prominent Connectivity Features from Electroencephalography8
Improving the Effectiveness of Eigentrust in Computing the Reputation of Social Agents in Presence of Collusion8
Supported Diagnosis of Attention Deficit and Hyperactivity Disorder from EEG Based on Interpretable Kernels for Hidden Markov Models8
Seizure Detection of EEG Signals Based on Multi-Channel Long- and Short-Term Memory-Like Spiking Neural Model7
Predicting a Time-Dependent Quantity Using Recursive Generative Query Network7
A Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals7
Modular Spiking Neural Membrane Systems for Image Classification7
Effects of Emotional Olfactory Stimuli on Modulating Angry Driving Based on an EEG Connectivity Study7
Automatic Seizure Identification from EEG Signals Based on Brain Connectivity Learning7
Facial Expression Recognition with Contrastive Learning and Uncertainty-Guided Relabeling7
Decoding Continuous Tracking Eye Movements from Cortical Spiking Activity7
Few-Shot Pixel-Precise Document Layout Segmentation via Dynamic Instance Generation and Local Thresholding7
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia7
A Modified Transformer Network for Seizure Detection Using EEG Signals7
Neural Memory State Space Models for Medical Image Segmentation7
Automated Quality Evaluation of Large-Scale Benchmark Datasets for Vision-Language Tasks7
Algorithm Recommendation and Performance Prediction Using Meta-Learning7
On the Tuning of the Computation Capability of Spiking Neural Membrane Systems with Communication on Request6
From Intricacy to Conciseness: A Progressive Transfer Strategy for EEG-Based Cross-Subject Emotion Recognition6
A Parallel Convolutional Network Based on Spiking Neural Systems6
Online and Cross-User Finger Movement Pattern Recognition by Decoding Neural Drive Information from Surface Electromyogram6
An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation6
Enzymatic Numerical Spiking Neural Membrane Systems and their Application in Designing Membrane Controllers6
A Feed-Forward Neural Network for Increasing the Hopfield-Network Storage Capacity6
A Spatio-Temporal Method for Extracting Gamma-Band Features to Enhance Classification in a Rapid Serial Visual Presentation Task6
Optimization of Model Training Based on Iterative Minimum Covariance Determinant In Motor-Imagery BCI6
An Experimental Study of Neural Approaches to Multi-Hop Inference in Question Answering6
Asynchronous Numerical Spiking Neural Membrane Systems with Local Synchronization6
Frequency-Assisted Local Attention in Lower Layers of Visual Transformers5
Understanding the Spatio-Temporal Coupling of Spikes and Spindles in Focal Epilepsy Through a Network-Level Computational Model5
Classification of Depth of Coma Using Complexity Measures and Nonlinear Features of Electroencephalogram Signals5
Towards a Biologically Plausible SNN-based Associative Memory with Context Dependent Hebbian Connectivity5
An Optimization Numerical Spiking Neural Membrane System with Adaptive Multi-Mutation Operators for Brain Tumor Segmentation5
Uncertainty-Guided Voxel-Level Supervised Contrastive Learning for Semi-Supervised Medical Image Segmentation5
Architecture Knowledge Distillation for Evolutionary Generative Adversarial Network5
Minimal Neural Network Conditions for Encoding Future Interactions5
A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks5
Epileptic Seizure Detection with an End-to-End Temporal Convolutional Network and Bidirectional Long Short-Term Memory Model4
Introduction4
Detection of Movement Intention in EEG-Based Brain-Computer Interfaces Using Fourier-Based Synchrosqueezing Transform4
Swarm-FHE: Fully Homomorphic Encryption-based Swarm Learning for Malicious Clients4
Introduction4
Performance Evaluation of Error-Correcting Output Coding Based on Noisy and Noiseless Binary Classifiers4
Decoupled Edge Guidance Network for Automatic Checkout4
Affective Action and Interaction Recognition by Multi-View Representation Learning from Handcrafted Low-Level Skeleton Features4
Predicting Intraoperative Burst Suppression Using Preoperative EEG and Patient Characteristics4
Human Brain Dynamics and Coordination Reflect the Task Difficulty of Optical Image Relational Reasoning4
Attention-Based Convolutional Recurrent Deep Neural Networks for the Prediction of Response to Repetitive Transcranial Magnetic Stimulation for Major Depressive Disorder4
Introduction4
Brain Computer Interfaces for Assisted Communication in Paralysis and Quality of Life3
Decision-Feedback Stages Revealed by Hidden Markov Modeling of EEG3
Electrical Stimulation Induced Current Distribution in Peripheral Nerves Varies Significantly with the Extent of Nerve Damage: A Computational Study Utilizing Convolutional Neural Network and Realisti3
Neuro-Inspired Reinforcement Learning to Improve Trajectory Prediction in Reward-Guided Behavior3
One-Dimensional Convolutional Neural Networks Combined with Channel Selection Strategy for Seizure Prediction Using Long-Term Intracranial EEG3
Multimodal Covariance Network Reflects Individual Cognitive Flexibility3
Motion Artifact Detection for T1-Weighted Brain MR Images Using Convolutional Neural Networks3
Dynamics of the “Cognitive” Brain Wave P3b at Rest for Alzheimer Dementia Prediction in Mild Cognitive Impairment3
Online Ternary Classification of Covert Speech by Leveraging the Passive Perception of Speech3
Detection of Trees on Street-View Images Using a Convolutional Neural Network3
An Integrated Neurorobotics Model of the Cerebellar-Basal Ganglia Circuitry3
Automated Quality Assessment of Medical Images in Echocardiography Using Neural Networks with Adaptive Ranking and Structure-Aware Learning3
A Pilot Study on the Functional Stability of Phonation in EEG Bands After Repetitive Transcranial Magnetic Stimulation in Parkinson’s Disease3
Encrypted Image Classification with Low Memory Footprint Using Fully Homomorphic Encryption3
A Neurorobotic Embodiment for Exploring the Dynamical Interactions of a Spiking Cerebellar Model and a Robot Arm During Vision-Based Manipulation Tasks3
Evaluation of Brain Functional Connectivity from Electroencephalographic Signals Under Different Emotional States3
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