International Journal of Neural Systems

Papers
(The median citation count of International Journal of Neural Systems is 4. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Scene Text Detection Based on Text Stroke Components129
Introduction73
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, Inter58
A Multi-Class Intra-Trial Trajectory Analysis Technique to Visualize and Quantify Variability of Mental Imagery EEG Signals48
Editorial — A Journal that Promotes Excellence Through Uncompromising Review Process: Reflection of Freedom of Speech and Scientific Publication48
Neonatal White Matter Damage Analysis Using DTI Super-Resolution and Multi-Modality Image Registration47
Impulsivity Classification Using EEG Power and Explainable Machine Learning45
Spiking Neural Membrane Systems with Temporal Coding45
Neuroimaging Biomarkers for Brain Disorder Diagnosis Using Advanced Learning Techniques42
Adaptive Dynamic Surface Control of Epileptor Model Based on Nonlinear Luenberger State Observer40
A Heterogeneous Attractor Model for Neural Dynamical Mechanism of Movement Preparation40
Dynamic Regulation of the Serotonin–Dopamine Interaction Within a Meta-reinforcement Learning Framework Encompassing the Prefrontal Cortex and Basal Ganglia39
Matrix Representation of Virus Machines and an Application to the Discrete Logarithm Problem38
Edge Computing Transformers for Fall Detection in Older Adults37
Announcement: The 2023 Hojjat Adeli Award for Outstanding Contributions in Neural Systems36
Epileptic Seizure Detection with an End-to-End Temporal Convolutional Network and Bidirectional Long Short-Term Memory Model34
A Feasibility Study of Navigating Emotional States Using Real-Time Representational Similarity Analysis fMRI Neurofeedback34
Dual-Stage Improvement with Domain Adaptation for Cross-Subject Epileptic Seizure Prediction34
A Few-Layer Multilayer Perceptron is Worth Attention for EEG Classification in Rapid Serial Visual Presentation Task33
Automatic Seizure Identification from EEG Signals Based on Brain Connectivity Learning33
An Attention-Gated Graph Spiking Neural Membrane System for Structure-Activity Relationship Prediction31
Decoding Continuous Tracking Eye Movements from Cortical Spiking Activity31
An Enhanced Random Convolutional Kernel Transform for Diverse and Robust Feature Extraction from High-Density Surface Electromyograms for Cross-day Gesture Recognition29
Asynchronous Numerical Spiking Neural Membrane Systems with Local Synchronization29
Attention-Based Convolutional Recurrent Deep Neural Networks for the Prediction of Response to Repetitive Transcranial Magnetic Stimulation for Major Depressive Disorder28
Automated Quality Evaluation of Large-Scale Benchmark Datasets for Vision-Language Tasks27
Minimal Neural Network Conditions for Encoding Future Interactions26
A Sentiment Analysis Anomaly Detection System for Cyber Intelligence25
Graph Spectral Analysis Using Electroencephalography in Alzheimer Disease and Frontotemporal Dementia Patients25
Multi-Domain Dynamic Weighting Network for Motor Imagery Decoding25
Performance Evaluation of Error-Correcting Output Coding Based on Noisy and Noiseless Binary Classifiers25
Bimodal Feature Analysis with Deep Learning for Autism Spectrum Disorder Detection24
Anomaly Detection Using Complete Cycle Consistent Generative Adversarial Network24
A Forward Learning Algorithm for Neural Memory Ordinary Differential Equations24
Improved Neurophysiological Process Imaging Through Optimization of Kalman Filter Initial Conditions24
Human Gait Activity Recognition Using Multimodal Sensors23
Enhancing Cross-Patient Seizure Detection with Test-Time Adaptation22
Self-Adaptation Spiking Neural Membrane Systems with Neuromodulators22
Explainable End-to-End Seizure Prediction via Dynamic Multiscale Cross-Band Fusion Filter Network22
Enhancing Motor Imagery Decoding for Stroke Patients Using Data Augmentation and Transfer Learning22
Efficient EEG Feature Learning Model Combining Random Convolutional Kernel with Wavelet Scattering for Seizure Detection21
Bridges Between Spiking Neural Membrane Systems and Virus Machines21
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism21
A Salient Object Detection Network Enhanced by Nonlinear Spiking Neural Systems and Transformer20
Comparative Screening of Alzheimer’s Disease, Lewy Body Dementia, and Frontotemporal Dementia Using miRNA and Machine Learning20
Neuronal Waveform Classification in Multielectrode Recordings Using Machine Learning Techniques and Multidimensional Analysis20
End-User Confidence in Artificial Intelligence-Based Predictions Applied to Biomedical Data20
Modeling Emerging Interpersonal Synchrony and its Related Adaptive Short-Term Affiliation and Long-Term Bonding: A Second-Order Multi-Adaptive Neural Agent Model20
Discriminative Power of Handwriting and Drawing Features in Depression19
Hierarchical Bayesian Causality Network to Extract High-Level Semantic Information in Visual Cortex19
Unsupervised Convolutional Neural Networks Using Home Presence Sensors for Behavioural Anomaly Detection in Older Adults19
Reducing Artifact Preprocessing in Heart Rate Variability-Based Personalized Psychosis Prediction Using Adaptive Long Short-Term Memory Models19
Network-Level Mechanisms of Sustained Recovery from Mental Fatigue Differentially Modulated by Acute Exercise and Rest18
A Prediction Model Based on Gated Nonlinear Spiking Neural Systems17
Tiny Convolutional Neural Network with Supervised Contrastive Learning for Epileptic Seizure Prediction17
Multi-View Graph Contrastive Learning via Adaptive Channel Optimization for Depression Detection in EEG Signals17
Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation17
An Evolutionary Attention-Based Network for Medical Image Classification17
A Hardware-Efficient Novelty-Aware Spike Sorting Approach for Brain-Implantable Microsystems17
A Prediction Model for Normal Variation of Somatosensory Evoked Potential During Scoliosis Surgery16
Adolescent Depression Detection Model Based on Multimodal Data of Interview Audio and Text16
Epileptic Seizure Prediction Using Attention Augmented Convolutional Network16
A Bidirectional Feedforward Neural Network Architecture Using the Discretized Neural Memory Ordinary Differential Equation16
Driver Drowsiness EEG Detection Based on Tree Federated Learning and Interpretable Network16
A Federated Learning Protocol for Spiking Neural Membrane Systems16
A Conditional Generative Adversarial Network and Transfer Learning-Oriented Anomaly Classification System for Electrospun Nanofibers16
Online and Cross-User Finger Movement Pattern Recognition by Decoding Neural Drive Information from Surface Electromyogram15
Introduction15
Visually-Inspired Multimodal Iterative Attentional Network for High-Precision EEG—Eye-Movement Emotion Recognition15
Closed-Loop Control of Epilepsy Based on Reinforcement Learning15
Efficient Hybrid Hierarchical Clustering with Incremental Silhouette Score for Large, Noisy Datasets15
Coherence-Based Graph Convolution Network to Assess Brain Reorganization in Spinal Cord Injury Patients15
Pyramid Vision Transformer-Enhanced Conformer Network for Epileptic Seizure Recognition Using MultiChannel EEG Signals14
Graph Embedding Comparator for Evolutionary Neural Architecture Search with Isomorphic Multi-Comparison14
Algorithm Recommendation and Performance Prediction Using Meta-Learning14
Enhancing Motor Imagery Classification with Residual Graph Convolutional Networks and Multi-Feature Fusion14
Enhancing Exploration and Exploitation in Tumor Treatment Through Action-Guided Deep Reinforcement Learning14
Toward a Biologically Plausible SNN-Based Associative Memory with Context-Dependent Hebbian Connectivity14
Architecture Knowledge Distillation for Evolutionary Generative Adversarial Network14
Spatial-Temporal Dynamic Hypergraph Information Bottleneck for Brain Network Classification13
Crowd Counting Using Meta-Test-Time Adaptation13
Large Pre-trained EEG Model for Electrical Status Epilepticus during Sleep Detection13
Hybrid Network for Patient-Specific Seizure Prediction from EEG Data13
Sparse Spiking Neural-Like Membrane Systems on Graphics Processing Units13
Author Index: Volume 33 (2023)13
Epileptic EEG Classification via Graph Transformer Network13
Unified Multi-Class Electroencephalogram Artifact Recognition Using Machine Learning Classifiers13
Bridging Imaging and Clinical Scores in Parkinson’s Progression via Multimodal Self-Supervised Deep Learning13
Unsupervised Neural Manifold Alignment for Stable Decoding of Movement from Cortical Signals13
Unsupervised Brain MRI Anomaly Detection via Inter-Realization Channels13
Lightweight Seizure Detection Based on Multi-Scale Channel Attention12
A Method based on Evolutionary Algorithms and Channel Attention Mechanism to Enhance Cycle Generative Adversarial Network Performance for Image Translation12
Brain Connectivity Variability Influences Anxiety Through the Behavioral Inhibition System12
Spiking Neural Membrane Systems with Adaptive Synaptic Time Delay12
Six-Center Assessment of CNN-Transformer with Belief Matching Loss for Patient-Independent Seizure Detection in EEG12
Consensus-Based 3D View Generation from Noisy Images12
A Context-Dependent CNN-Based Framework for Multiple Sclerosis Segmentation in MRI12
Multi-Label Zero-Shot Learning Via Contrastive Label-Based Attention12
Dominant Classifier-assisted Hybrid Evolutionary Multi-objective Neural Architecture Search12
Mixture 2D Convolutions for 3D Medical Image Segmentation12
Introduction12
A Multivariate Cloud Workload Prediction Method Integrating Convolutional Nonlinear Spiking Neural Model with Bidirectional Long Short-Term Memory12
Quantitative EEG Evidences Reveal an Effective Approach for Regulating Negative Emotions via Listening Mindfulness-Based Music12
Exploring the Effects of Emotional Sensory Stimuli on Modulating Driver Fatigue via EEG-based Spatial-Temporal Dynamic Analysis12
Enhanced Graph Attention Network by Integrating Transformer for Epileptic EEG Identification11
Diagnosis of Autism Disorder Based on Deep Network Trained by Augmented EEG Signals11
Introduction11
Unraveling the Differential Efficiency of Dorsal and Ventral Pathways in Visual Semantic Decoding11
Continual Learning by Contrastive Learning of Regularized Classes in Multivariate Gaussian Distributions11
Compact Convolutional Neural Network with Multi-Headed Attention Mechanism for Seizure Prediction11
An Efficient Multi-Objective Evolutionary Zero-Shot Neural Architecture Search Framework for Image Classification11
Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning10
Incremental Confidence Sampling with Optimal Transport for Domain Adaptation10
Multi-Order Extension Codes for Palmprint Recognition9
Localization of Epileptic Brain Responses to Single-Pulse Electrical Stimulation by Developing an Adaptive Iterative Linearly Constrained Minimum Variance Beamformer9
Seizure Detection of EEG Signals Based on Multi-Channel Long- and Short-Term Memory-Like Spiking Neural Model9
Exploiting Textual Information for Fake News Detection9
Physiological Response in Children with Autism Spectrum Disorder (ASD) During Social Robot Interaction9
Introduction9
Classification of Epileptic and Psychogenic Nonepileptic Seizures via Time–Frequency Features of EEG Data9
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia8
Understanding the Spatio-Temporal Coupling of Spikes and Spindles in Focal Epilepsy Through a Network-Level Computational Model8
A Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals8
First Longitudinal Study Using Binaural Beats on Parkinson Disease8
An Explainable 3D-Deep Learning Model for EEG Decoding in Brain–Computer Interface Applications8
Autism Spectrum Disorder Detection Using Prominent Connectivity Features from Electroencephalography8
Effects of Emotional Olfactory Stimuli on Modulating Angry Driving Based on an EEG Connectivity Study8
Enzymatic Numerical Spiking Neural Membrane Systems and their Application in Designing Membrane Controllers8
Primary Visual Cortex Contributes to Color Constancy by Predicting Rather than Discounting the Illuminant7
Preface7
Neuro-Inspired Reinforcement Learning to Improve Trajectory Prediction in Reward-Guided Behavior7
Multi-Semantic Decoding of Visual Perception with Graph Neural Networks7
Seizure Detection Based on Lightweight Inverted Residual Attention Network7
ANNOUNCEMENT — The 2025 Hojjat Adeli Award for Outstanding Contributions in Neural Systems7
Spatio-Temporal Image-Based Encoded Atlases for EEG Emotion Recognition7
Introduction7
Multimodal Covariance Network Reflects Individual Cognitive Flexibility7
Estimating the Speed of Nearby Vehicles with a Single Onboard Camera by Smooth Kernel Regression6
Cross-Subject Seizure Detection via Unsupervised Domain-Adaptation6
Progressive Disambiguation and Sycophancy Mitigation for Prompt Uncertainty in Generative AI6
Effect of Action Units, Viewpoint and Immersion on Emotion Recognition Using Dynamic Virtual Faces6
Enhancing Robustness of Medical Image Segmentation Model with Neural Memory Ordinary Differential Equation6
Electroencephalography Decoding with Conditional Identification Generator6
A Dual Soft Attention Network for Automatic Sleep Staging via Single-Lead Electrocardiogram Signals6
Longitudinal Characterization of Compound Action Potentials in Chronic Vagus Nerve Recordings in Mice6
Data Compliance Utilization Method Based on Adaptive Differential Privacy and Federated Learning6
Exploring Cerebral and Cerebellar Blood Oxygenation-Level Dependent Activations During Visually Cued Alternating Hand and Foot Movements with 3T Multiband fMRI6
Enhanced Multitask Learning for Hash Code Generation of Palmprint Biometrics5
Wavelet Transform, Reconstructed Phase Space, and Deep Learning Neural Networks for EEG-Based Schizophrenia Detection5
Performance Evaluation of Deep, Shallow and Ensemble Machine Learning Methods for the Automated Classification of Alzheimer’s Disease5
Separating Inhibitory and Excitatory Responses of Epileptic Brain to Single-Pulse Electrical Stimulation5
Enhanced Informer Network for Stress Recognition and Classification via Spatial and Channel Attention Mechanisms5
A Deep Learning Framework for Efficient Online Decomposition of High-Density Surface Electromyogram into Motor Unit Spike Trains5
Recurrent Processing Dynamics in Occluded Object Recognition Revealed by Electroencephalography and Deep Neural Networks5
Deep Learning Recognition of Paroxysmal Kinesigenic Dyskinesia Based on EEG Functional Connectivity5
Multi-Objective Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification5
Using Virus Machines to Compute Pairing Functions5
Exploratory Study of Color Influence During an Academic Auditory Sustained Attention Test and the Implications for Educational Environments5
Abnormal Temporal Variability Organization Associated with Compromised Verbal Memory and Psychotic Symptoms in Schizophrenia Patients and Their First-Degree Relatives5
Multimodal Integration of EEG and Near-Infrared Spectroscopy for Robust Cross-Frequency Coupling Estimation5
Enhancing Prediction of Forelimb Movement Trajectory through a Calibrating-Feedback Paradigm Incorporating RAT Primary Motor and Agranular Cortical Ensemble Activity in the Goal-Directed Reaching Task5
A Multimodal Fusion Approach for Human Activity Recognition4
Epileptic Seizure Detection from EEG Signals with Long Short-Term Memory-Transformer and Self-Supervised Learning4
A Novel State Space Model with Dynamic Graphic Neural Network for EEG Event Detection4
Interactive EEG Emotion Recognition with Incremental Gaussian Processes4
Post-Movement Beta Rebound for Longitudinal Monitoring of Motor Rehabilitation in Stroke Patients Using an Exoskeleton-Assisted Paradigm4
Enhancing Epileptic Seizure Identification by Exploring Swin Transformer Integration within Conformer Architecture4
Dual-Modal Information Bottleneck Network for Seizure Detection4
Latent Space Projections and Atlases, a Cautionary Tale in Deep Neuroimaging using Autoencoders4
Self-Supervised Image Segmentation Using Meta-Learning and Multi-Backbone Feature Fusion4
Local-Contextual Feature Fusion Network Based on Nonlinear Spiking Neural Model for Semantic Segmentation of Remote Sensing Images4
Efficient Seizure Detection by Complementary Integration of Convolutional Neural Network and Vision Transformer4
One-Dimensional Local Binary Pattern and Common Spatial Pattern Feature Fusion Brain Network for Central Neuropathic Pain4
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