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 2022-05-01 to 2026-05-01.)
ArticleCitations
Scene Text Detection Based on Text Stroke Components98
Impulsivity Classification Using EEG Power and Explainable Machine Learning71
Introduction57
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, Inter51
A Multi-Class Intra-Trial Trajectory Analysis Technique to Visualize and Quantify Variability of Mental Imagery EEG Signals47
Editorial — A Journal that Promotes Excellence Through Uncompromising Review Process: Reflection of Freedom of Speech and Scientific Publication46
Neonatal White Matter Damage Analysis Using DTI Super-Resolution and Multi-Modality Image Registration45
A Heterogeneous Attractor Model for Neural Dynamical Mechanism of Movement Preparation42
Matrix Representation of Virus Machines and an Application to the Discrete Logarithm Problem41
Dynamic Regulation of the Serotonin–Dopamine Interaction Within a Meta-reinforcement Learning Framework Encompassing the Prefrontal Cortex and Basal Ganglia39
Adaptive Dynamic Surface Control of Epileptor Model Based on Nonlinear Luenberger State Observer39
A Feasibility Study of Navigating Emotional States Using Real-Time Representational Similarity Analysis fMRI Neurofeedback37
Announcement: The 2023 Hojjat Adeli Award for Outstanding Contributions in Neural Systems37
Edge Computing Transformers for Fall Detection in Older Adults37
Decoding Continuous Tracking Eye Movements from Cortical Spiking Activity36
Minimal Neural Network Conditions for Encoding Future Interactions35
An Enhanced Random Convolutional Kernel Transform for Diverse and Robust Feature Extraction from High-Density Surface Electromyograms for Cross-day Gesture Recognition34
Attention-Based Convolutional Recurrent Deep Neural Networks for the Prediction of Response to Repetitive Transcranial Magnetic Stimulation for Major Depressive Disorder33
Dual-Stage Improvement with Domain Adaptation for Cross-Subject Epileptic Seizure Prediction32
Automated Quality Evaluation of Large-Scale Benchmark Datasets for Vision-Language Tasks31
Graph Spectral Analysis Using Electroencephalography in Alzheimer Disease and Frontotemporal Dementia Patients31
Asynchronous Numerical Spiking Neural Membrane Systems with Local Synchronization30
On the Tuning of the Computation Capability of Spiking Neural Membrane Systems with Communication on Request29
A Few-Layer Multilayer Perceptron is Worth Attention for EEG Classification in Rapid Serial Visual Presentation Task29
Epileptic Seizure Detection with an End-to-End Temporal Convolutional Network and Bidirectional Long Short-Term Memory Model28
An Attention-Gated Graph Spiking Neural Membrane System for Structure-Activity Relationship Prediction28
A Forward Learning Algorithm for Neural Memory Ordinary Differential Equations27
Performance Evaluation of Error-Correcting Output Coding Based on Noisy and Noiseless Binary Classifiers27
Automatic Seizure Identification from EEG Signals Based on Brain Connectivity Learning27
Anomaly Detection Using Complete Cycle Consistent Generative Adversarial Network26
Multi-Domain Dynamic Weighting Network for Motor Imagery Decoding25
Improved Neurophysiological Process Imaging Through Optimization of Kalman Filter Initial Conditions25
Bimodal Feature Analysis with Deep Learning for Autism Spectrum Disorder Detection25
A Sentiment Analysis Anomaly Detection System for Cyber Intelligence24
Human Gait Activity Recognition Using Multimodal Sensors23
A Salient Object Detection Network Enhanced by Nonlinear Spiking Neural Systems and Transformer23
End-User Confidence in Artificial Intelligence-Based Predictions Applied to Biomedical Data23
Modeling Emerging Interpersonal Synchrony and its Related Adaptive Short-Term Affiliation and Long-Term Bonding: A Second-Order Multi-Adaptive Neural Agent Model23
Efficient EEG Feature Learning Model Combining Random Convolutional Kernel with Wavelet Scattering for Seizure Detection22
Explainable End-to-End Seizure Prediction via Dynamic Multiscale Cross-Band Fusion Filter Network21
Enhancing Cross-Patient Seizure Detection with Test-Time Adaptation21
Bridges Between Spiking Neural Membrane Systems and Virus Machines21
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism21
A Hardware-Efficient Novelty-Aware Spike Sorting Approach for Brain-Implantable Microsystems20
Unsupervised Convolutional Neural Networks using Home Presence Sensors for Behavioural Anomaly Detection in Older Adults20
Self-Adaptation Spiking Neural Membrane Systems with Neuromodulators20
A Prediction Model Based on Gated Nonlinear Spiking Neural Systems19
Multi-View Graph Contrastive Learning via Adaptive Channel Optimization for Depression Detection in EEG Signals19
Discriminative Power of Handwriting and Drawing Features in Depression18
Neuronal Waveform Classification in Multielectrode Recordings Using Machine Learning Techniques and Multidimensional Analysis18
Tiny Convolutional Neural Network with Supervised Contrastive Learning for Epileptic Seizure Prediction18
An Evolutionary Attention-Based Network for Medical Image Classification18
Network-level mechanisms of sustained recovery from mental fatigue differentially modulated by acute exercise and rest18
Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation18
Reducing Artifact Preprocessing in Heart Rate Variability-Based Personalized Psychosis Prediction Using Adaptive Long Short-Term Memory Models18
A Bidirectional Feedforward Neural Network Architecture Using the Discretized Neural Memory Ordinary Differential Equation17
Driver Drowsiness EEG Detection Based on Tree Federated Learning and Interpretable Network17
Hierarchical Bayesian Causality Network to Extract High-Level Semantic Information in Visual Cortex17
Adolescent Depression Detection Model Based on Multimodal Data of Interview Audio and Text16
Epileptic Seizure Prediction Using Attention Augmented Convolutional Network16
A Prediction Model for Normal Variation of Somatosensory Evoked Potential During Scoliosis Surgery16
A Conditional Generative Adversarial Network and Transfer Learning-Oriented Anomaly Classification System for Electrospun Nanofibers16
Coherence-Based Graph Convolution Network to Assess Brain Reorganization in Spinal Cord Injury Patients15
Online and Cross-User Finger Movement Pattern Recognition by Decoding Neural Drive Information from Surface Electromyogram15
Introduction15
Efficient Hybrid Hierarchical Clustering with Incremental Silhouette Score for Large, Noisy Datasets15
A Federated Learning Protocol for Spiking Neural Membrane Systems15
Closed-Loop Control of Epilepsy Based on Reinforcement Learning15
Enhancing Exploration and Exploitation in Tumor Treatment Through Action-Guided Deep Reinforcement Learning14
Algorithm Recommendation and Performance Prediction Using Meta-Learning14
Graph Embedding Comparator for Evolutionary Neural Architecture Search with Isomorphic Multi-Comparison14
Spatial-Temporal Dynamic Hypergraph Information Bottleneck for Brain Network Classification14
Visually-Inspired Multimodal Iterative Attentional Network for High-Precision EEG—Eye-Movement Emotion Recognition14
A Feed-Forward Neural Network for Increasing the Hopfield-Network Storage Capacity14
Unsupervised Brain MRI Anomaly Detection via Inter-Realization Channels14
Hybrid Network for Patient-Specific Seizure Prediction from EEG Data14
Architecture Knowledge Distillation for Evolutionary Generative Adversarial Network14
Toward a Biologically Plausible SNN-Based Associative Memory with Context-Dependent Hebbian Connectivity14
Enhancing Motor Imagery Classification with Residual Graph Convolutional Networks and Multi-Feature Fusion14
Bridging Imaging and Clinical Scores in Parkinson’s Progression via Multimodal Self-Supervised Deep Learning14
A Context-Dependent CNN-Based Framework for Multiple Sclerosis Segmentation in MRI13
Sparse Spiking Neural-Like Membrane Systems on Graphics Processing Units13
Consensus-Based 3D View Generation from Noisy Images13
Introduction13
Author Index: Volume 33 (2023)13
Epileptic EEG Classification via Graph Transformer Network13
Lightweight Seizure Detection Based on Multi-Scale Channel Attention13
Crowd Counting Using Meta-Test-Time Adaptation13
Unsupervised Neural Manifold Alignment for Stable Decoding of Movement from Cortical Signals13
A Method based on Evolutionary Algorithms and Channel Attention Mechanism to Enhance Cycle Generative Adversarial Network Performance for Image Translation13
Dominant Classifier-assisted Hybrid Evolutionary Multi-objective Neural Architecture Search12
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
Continual Learning by Contrastive Learning of Regularized Classes in Multivariate Gaussian Distributions12
Compact Convolutional Neural Network with Multi-Headed Attention Mechanism for Seizure Prediction12
Multi-Label Zero-Shot Learning Via Contrastive Label-Based Attention12
Mixture 2D Convolutions for 3D Medical Image Segmentation12
Six-Center Assessment of CNN-Transformer with Belief Matching Loss for Patient-Independent Seizure Detection in EEG12
Brain Connectivity Variability Influences Anxiety Through the Behavioral Inhibition System12
Spiking Neural Membrane Systems with Adaptive Synaptic Time Delay12
Epileptic Seizure Prediction Using Deep Neural Networks Via Transfer Learning and Multi-Feature Fusion12
Enhanced Graph Attention Network by Integrating Transformer for Epileptic EEG Identification11
Exploring the Effects of Emotional Sensory Stimuli on Modulating Driver Fatigue via EEG-based Spatial-Temporal Dynamic Analysis11
Exploiting Textual Information for Fake News Detection11
Unraveling the Differential Efficiency of Dorsal and Ventral Pathways in Visual Semantic Decoding11
Diagnosis of Autism Disorder Based on Deep Network Trained by Augmented EEG Signals11
Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning11
An Efficient Multi-Objective Evolutionary Zero-Shot Neural Architecture Search Framework for Image Classification11
Introduction11
Classification of Epileptic and Psychogenic Nonepileptic Seizures via Time–Frequency Features of EEG Data11
Deep Convolution Generative Adversarial Network-Based Electroencephalogram Data Augmentation for Post-Stroke Rehabilitation with Motor Imagery10
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia10
Incremental Confidence Sampling with Optimal Transport for Domain Adaptation10
Localization of Epileptic Brain Responses to Single-Pulse Electrical Stimulation by Developing an Adaptive Iterative Linearly Constrained Minimum Variance Beamformer10
Multi-Order Extension Codes for Palmprint Recognition10
Physiological Response in Children with Autism Spectrum Disorder (ASD) During Social Robot Interaction10
Announcement: The 2022 Hojjat Adeli Award for Outstanding Contributions in Neural Systems10
Introduction10
Enzymatic Numerical Spiking Neural Membrane Systems and their Application in Designing Membrane Controllers9
Seizure Detection of EEG Signals Based on Multi-Channel Long- and Short-Term Memory-Like Spiking Neural Model9
Understanding the Spatio-Temporal Coupling of Spikes and Spindles in Focal Epilepsy Through a Network-Level Computational Model9
An Explainable 3D-Deep Learning Model for EEG Decoding in Brain–Computer Interface Applications9
A Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals9
Effects of Emotional Olfactory Stimuli on Modulating Angry Driving Based on an EEG Connectivity Study9
Electroencephalography Decoding with Conditional Identification Generator8
Autism Spectrum Disorder Detection Using Prominent Connectivity Features from Electroencephalography8
First Longitudinal Study Using Binaural Beats on Parkinson Disease8
Introduction8
Enhancing Robustness of Medical Image Segmentation Model with Neural Memory Ordinary Differential Equation8
Affective Action and Interaction Recognition by Multi-View Representation Learning from Handcrafted Low-Level Skeleton Features8
Preface7
Spatio-Temporal Image-Based Encoded Atlases for EEG Emotion Recognition7
Neuro-Inspired Reinforcement Learning to Improve Trajectory Prediction in Reward-Guided Behavior7
ANNOUNCEMENT — The 2025 Hojjat Adeli Award for Outstanding Contributions in Neural Systems7
Cross-Subject Seizure Detection via Unsupervised Domain-Adaptation7
Multi-Semantic Decoding of Visual Perception with Graph Neural Networks7
Primary Visual Cortex Contributes to Color Constancy by Predicting Rather than Discounting the Illuminant7
Effect of Action Units, Viewpoint and Immersion on Emotion Recognition Using Dynamic Virtual Faces7
Data Compliance Utilization Method Based on Adaptive Differential Privacy and Federated Learning7
Seizure Detection Based on Lightweight Inverted Residual Attention Network7
Estimating the Speed of Nearby Vehicles with a Single Onboard Camera by Smooth Kernel Regression6
Exploring Cerebral and Cerebellar Blood Oxygenation-Level Dependent Activations During Visually Cued Alternating Hand and Foot Movements with 3T Multiband fMRI6
Exploratory Study of Color Influence During an Academic Auditory Sustained Attention Test and the Implications For Educational Environments6
Multimodal Covariance Network Reflects Individual Cognitive Flexibility6
Wavelet Transform, Reconstructed Phase Space, and Deep Learning Neural Networks for EEG-Based Schizophrenia Detection6
Longitudinal Characterization of Compound Action Potentials in Chronic Vagus Nerve Recordings in Mice6
A Deep Learning Framework for Efficient Online Decomposition of High-Density Surface Electromyogram into Motor Unit Spike Trains6
Enhanced Informer Network for Stress Recognition and Classification via Spatial and Channel Attention Mechanisms6
Using Virus Machines to Compute Pairing Functions6
Performance Evaluation of Deep, Shallow and Ensemble Machine Learning Methods for the Automated Classification of Alzheimer’s Disease6
Recurrent Processing Dynamics in Occluded Object Recognition Revealed by Electroencephalography and Deep Neural Networks5
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 Recognition5
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
Enhanced Multitask Learning for Hash Code Generation of Palmprint Biometrics5
Self-Supervised Image Segmentation Using Meta-Learning and Multi-Backbone Feature Fusion5
Separating Inhibitory and Excitatory Responses of Epileptic Brain to Single-Pulse Electrical Stimulation4
Post-Movement Beta Rebound for Longitudinal Monitoring of Motor Rehabilitation in Stroke Patients Using an Exoskeleton-Assisted Paradigm4
Local-Contextual Feature Fusion Network Based on Nonlinear Spiking Neural Model for Semantic Segmentation of Remote Sensing Images4
Dual-Modal Information Bottleneck Network for Seizure Detection4
Lightweight Seizure Prediction Model based on Kernel-Enhanced Global Temporal Attention4
Multimodal Integration of EEG and Near-Infrared Spectroscopy for Robust Cross-Frequency Coupling Estimation4
Efficient Seizure Detection by Complementary Integration of Convolutional Neural Network and Vision Transformer4
Epileptic Seizure Detection from EEG Signals with Long Short-Term Memory-Transformer and Self-Supervised Learning4
Combining EEG Features and Convolutional Autoencoder for Neonatal Seizure Detection4
Cortical-Subthalamic Interplay During Eyes-Open and Eyes-Closed Resting States in Parkinson's Disease Patients4
A Novel State Space Model with Dynamic Graphic Neural Network for EEG Event Detection4
One-Dimensional Local Binary Pattern and Common Spatial Pattern Feature Fusion Brain Network for Central Neuropathic Pain4
Interactive EEG Emotion Recognition with Incremental Gaussian Processes4
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 Journal4
Predicting Intraoperative Burst Suppression Using Preoperative EEG and Patient Characteristics4
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