International Journal of Neural Systems

Papers
(The median citation count of International Journal of Neural Systems is 5. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Scene Text Detection Based on Text Stroke Components91
Introduction76
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, Inter64
A Heterogeneous Attractor Model for Neural Dynamical Mechanism of Movement Preparation58
A Multi-Class Intra-Trial Trajectory Analysis Technique to Visualize and Quantify Variability of Mental Imagery EEG Signals53
Impulsivity Classification Using EEG Power and Explainable Machine Learning46
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 Registration42
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
Adaptive Dynamic Surface Control of Epileptor Model Based on Nonlinear Luenberger State Observer38
Edge Computing Transformers for Fall Detection in Older Adults37
Graph Spectral Analysis Using Electroencephalography in Alzheimer Disease and Frontotemporal Dementia Patients36
Announcement: The 2023 Hojjat Adeli Award for Outstanding Contributions in Neural Systems35
Automatic Seizure Identification from EEG Signals Based on Brain Connectivity Learning34
Asynchronous Numerical Spiking Neural Membrane Systems with Local Synchronization34
Minimal Neural Network Conditions for Encoding Future Interactions33
Decoding Continuous Tracking Eye Movements from Cortical Spiking Activity31
Epileptic Seizure Detection with an End-to-End Temporal Convolutional Network and Bidirectional Long Short-Term Memory Model31
Automated Quality Evaluation of Large-Scale Benchmark Datasets for Vision-Language Tasks31
On the Tuning of the Computation Capability of Spiking Neural Membrane Systems with Communication on Request30
An Enhanced Random Convolutional Kernel Transform for Diverse and Robust Feature Extraction from High-Density Surface Electromyograms for Cross-day Gesture Recognition29
Attention-Based Convolutional Recurrent Deep Neural Networks for the Prediction of Response to Repetitive Transcranial Magnetic Stimulation for Major Depressive Disorder29
A Sentiment Analysis Anomaly Detection System for Cyber Intelligence27
Anomaly Detection Using Complete Cycle Consistent Generative Adversarial Network27
A Forward Learning Algorithm for Neural Memory Ordinary Differential Equations27
Human Gait Activity Recognition Using Multimodal Sensors27
Performance Evaluation of Error-Correcting Output Coding Based on Noisy and Noiseless Binary Classifiers26
Improved Neurophysiological Process Imaging Through Optimization of Kalman Filter Initial Conditions26
Multi-Domain Dynamic Weighting Network for Motor Imagery Decoding26
Bimodal Feature Analysis with Deep Learning for Autism Spectrum Disorder Detection26
End-User Confidence in Artificial Intelligence-Based Predictions Applied to Biomedical Data24
A Salient Object Detection Network Enhanced by Nonlinear Spiking Neural Systems and Transformer24
Bridges Between Spiking Neural Membrane Systems and Virus Machines23
Modeling Emerging Interpersonal Synchrony and its Related Adaptive Short-Term Affiliation and Long-Term Bonding: A Second-Order Multi-Adaptive Neural Agent Model23
Explainable End-to-End Seizure Prediction via Dynamic Multiscale Cross-Band Fusion Filter Network23
A Prediction Model Based on Gated Nonlinear Spiking Neural Systems22
Efficient EEG Feature Learning Model Combining Random Convolutional Kernel with Wavelet Scattering for Seizure Detection22
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism22
Discriminative Power of Handwriting and Drawing Features in Depression21
A Hardware-Efficient Novelty-Aware Spike Sorting Approach for Brain-Implantable Microsystems21
Multi-View Graph Contrastive Learning via Adaptive Channel Optimization for Depression Detection in EEG Signals21
Tiny Convolutional Neural Network with Supervised Contrastive Learning for Epileptic Seizure Prediction21
Reducing Artifact Preprocessing in Heart Rate Variability-Based Personalized Psychosis Prediction Using Adaptive Long Short-Term Memory Models20
Neuronal Waveform Classification in Multielectrode Recordings Using Machine Learning Techniques and Multidimensional Analysis19
A Bidirectional Feedforward Neural Network Architecture Using the Discretized Neural Memory Ordinary Differential Equation18
Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation18
An Evolutionary Attention-Based Network for Medical Image Classification18
Hierarchical Bayesian Causality Network to Extract High-Level Semantic Information in Visual Cortex18
Epileptic Seizure Prediction Using Attention Augmented Convolutional Network17
A Federated Learning Protocol for Spiking Neural Membrane Systems17
Adolescent Depression Detection Model Based on Multimodal Data of Interview Audio and Text17
Closed-Loop Control of Epilepsy Based on Reinforcement Learning17
A Conditional Generative Adversarial Network and Transfer Learning-Oriented Anomaly Classification System for Electrospun Nanofibers17
Driver Drowsiness EEG Detection Based on Tree Federated Learning and Interpretable Network17
A Prediction Model for Normal Variation of Somatosensory Evoked Potential During Scoliosis Surgery17
Architecture Knowledge Distillation for Evolutionary Generative Adversarial Network16
Coherence-Based Graph Convolution Network to Assess Brain Reorganization in Spinal Cord Injury Patients16
Uncertainty-Guided Voxel-Level Supervised Contrastive Learning for Semi-Supervised Medical Image Segmentation15
From Intricacy to Conciseness: A Progressive Transfer Strategy for EEG-Based Cross-Subject Emotion Recognition15
Supported Diagnosis of Attention Deficit and Hyperactivity Disorder from EEG Based on Interpretable Kernels for Hidden Markov Models15
Algorithm Recommendation and Performance Prediction Using Meta-Learning15
A Feed-Forward Neural Network for Increasing the Hopfield-Network Storage Capacity15
Toward a Biologically Plausible SNN-Based Associative Memory with Context-Dependent Hebbian Connectivity15
Visually-Inspired Multimodal Iterative Attentional Network for High-Precision EEG—Eye-Movement Emotion Recognition14
Hybrid Network for Patient-Specific Seizure Prediction from EEG Data14
Efficient Hybrid Hierarchical Clustering with Incremental Silhouette Score for Large, Noisy Datasets14
Classification of Depth of Coma Using Complexity Measures and Nonlinear Features of Electroencephalogram Signals14
Spatial-Temporal Dynamic Hypergraph Information Bottleneck for Brain Network Classification14
Online and Cross-User Finger Movement Pattern Recognition by Decoding Neural Drive Information from Surface Electromyogram14
Introduction14
Unsupervised Brain MRI Anomaly Detection via Inter-Realization Channels14
Crowd Counting Using Meta-Test-Time Adaptation13
Author Index: Volume 33 (2023)13
Dynamics of the “Cognitive” Brain Wave P3b at Rest for Alzheimer Dementia Prediction in Mild Cognitive Impairment13
Unsupervised Neural Manifold Alignment for Stable Decoding of Movement from Cortical Signals13
Graph Embedding Comparator for Evolutionary Neural Architecture Search with Isomorphic Multi-Comparison13
Enhancing Motor Imagery Classification with Residual Graph Convolutional Networks and Multi-Feature Fusion13
Bridging Imaging and Clinical Scores in Parkinson’s Progression via Multimodal Self-Supervised Deep Learning13
Analysis of fMRI Signals from Working Memory Tasks and Resting-State of Brain: Neutrosophic-Entropy-Based Clustering Algorithm12
Epileptic EEG Classification via Graph Transformer Network12
Lightweight Seizure Detection Based on Multi-Scale Channel Attention12
A Multivariate Cloud Workload Prediction Method Integrating Convolutional Nonlinear Spiking Neural Model with Bidirectional Long Short-Term Memory12
A Method based on Evolutionary Algorithms and Channel Attention Mechanism to Enhance Cycle Generative Adversarial Network Performance for Image Translation12
Consensus-Based 3D View Generation from Noisy Images12
Introduction12
Mixture 2D Convolutions for 3D Medical Image Segmentation12
A Context-Dependent CNN-Based Framework for Multiple Sclerosis Segmentation in MRI12
Sparse Spiking Neural-Like Membrane Systems on Graphics Processing Units12
Brain Connectivity Variability Influences Anxiety Through the Behavioral Inhibition System11
Multi-Label Zero-Shot Learning Via Contrastive Label-Based Attention11
Six-Center Assessment of CNN-Transformer with Belief Matching Loss for Patient-Independent Seizure Detection in EEG11
Spiking Neural Membrane Systems with Adaptive Synaptic Time Delay11
Compact Convolutional Neural Network with Multi-Headed Attention Mechanism for Seizure Prediction11
Enhanced Graph Attention Network by Integrating Transformer for Epileptic EEG Identification11
Epileptic Seizure Prediction Using Deep Neural Networks Via Transfer Learning and Multi-Feature Fusion11
Continual Learning by Contrastive Learning of Regularized Classes in Multivariate Gaussian Distributions11
Unraveling the Differential Efficiency of Dorsal and Ventral Pathways in Visual Semantic Decoding10
Exploring the Effects of Emotional Sensory Stimuli on Modulating Driver Fatigue Via EEG-Based Spatial-Temporal Dynamic Analysis10
Classification of Epileptic and Psychogenic Nonepileptic Seizures via Time–Frequency Features of EEG Data10
Physiological Response in Children with Autism Spectrum Disorder (ASD) During Social Robot Interaction10
Incremental Confidence Sampling with Optimal Transport for Domain Adaptation10
An Efficient Multi-Objective Evolutionary Zero-Shot Neural Architecture Search Framework for Image Classification10
Dominant Classifier-assisted Hybrid Evolutionary Multi-objective Neural Architecture Search10
Multi-Order Extension Codes for Palmprint Recognition10
Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning10
Deep Convolution Generative Adversarial Network-Based Electroencephalogram Data Augmentation for Post-Stroke Rehabilitation with Motor Imagery10
Diagnosis of Autism Disorder Based on Deep Network Trained by Augmented EEG Signals10
Localization of Epileptic Brain Responses to Single-Pulse Electrical Stimulation by Developing an Adaptive Iterative Linearly Constrained Minimum Variance Beamformer10
Introduction10
Exploiting Textual Information for Fake News Detection10
An Experimental Study of Neural Approaches to Multi-Hop Inference in Question Answering9
Announcement: The 2022 Hojjat Adeli Award for Outstanding Contributions in Neural Systems9
A Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals9
Enzymatic Numerical Spiking Neural Membrane Systems and their Application in Designing Membrane Controllers9
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
Introduction9
Autism Spectrum Disorder Detection Using Prominent Connectivity Features from Electroencephalography9
First Longitudinal Study Using Binaural Beats on Parkinson Disease9
Seizure Detection of EEG Signals Based on Multi-Channel Long- and Short-Term Memory-Like Spiking Neural Model8
Multi-Semantic Decoding of Visual Perception with Graph Neural Networks8
ANNOUNCEMENT — The 2025 Hojjat Adeli Award for Outstanding Contributions in Neural Systems8
Effects of Emotional Olfactory Stimuli on Modulating Angry Driving Based on an EEG Connectivity Study8
Cross-Subject Seizure Detection via Unsupervised Domain-Adaptation8
Evaluation of Brain Functional Connectivity from Electroencephalographic Signals Under Different Emotional States8
Effect of Action Units, Viewpoint and Immersion on Emotion Recognition Using Dynamic Virtual Faces8
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia8
Introduction8
Preface8
Electroencephalography Decoding with Conditional Identification Generator8
Neuro-Inspired Reinforcement Learning to Improve Trajectory Prediction in Reward-Guided Behavior8
Multimodal Covariance Network Reflects Individual Cognitive Flexibility7
Affective Action and Interaction Recognition by Multi-View Representation Learning from Handcrafted Low-Level Skeleton Features7
Enhanced Multitask Learning for Hash Code Generation of Palmprint Biometrics7
Data Compliance Utilization Method Based on Adaptive Differential Privacy and Federated Learning7
Quantitative Assessment of Electroencephalogram Reactivity in Comatose Patients on Extracorporeal Membrane Oxygenation7
Spatio-Temporal Image-Based Encoded Atlases for EEG Emotion Recognition7
Enhancing Robustness of Medical Image Segmentation Model with Neural Memory Ordinary Differential Equation7
Seizure Detection Based on Lightweight Inverted Residual Attention Network7
Deep Learning Recognition of Paroxysmal Kinesigenic Dyskinesia Based on EEG Functional Connectivity7
Using Virus Machines to Compute Pairing Functions6
Wavelet Transform, Reconstructed Phase Space, and Deep Learning Neural Networks for EEG-Based Schizophrenia Detection6
Separating Inhibitory and Excitatory Responses of Epileptic Brain to Single-Pulse Electrical Stimulation6
Classification of Low and High Schizotypy Levels via Evaluation of Brain Connectivity6
Longitudinal Characterization of Compound Action Potentials in Chronic Vagus Nerve Recordings in MICE6
Enhanced Informer Network for Stress Recognition and Classification via Spatial and Channel Attention Mechanisms6
Multimodal Integration of EEG and Near-Infrared Spectroscopy for Robust Cross-Frequency Coupling Estimation6
A Multimodal Fusion Approach for Human Activity Recognition6
Estimating the Speed of Nearby Vehicles with a Single Onboard Camera by Smooth Kernel Regression6
Performance Evaluation of Deep, Shallow and Ensemble Machine Learning Methods for the Automated Classification of Alzheimer’s Disease6
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 Task6
Multi-Objective Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification5
Interactive EEG Emotion Recognition with Incremental Gaussian Processes5
Post-Movement Beta Rebound for Longitudinal Monitoring of Motor Rehabilitation in Stroke Patients Using an Exoskeleton-Assisted Paradigm5
Efficient Seizure Detection by Complementary Integration of Convolutional Neural Network and Vision Transformer5
One-Dimensional Local Binary Pattern and Common Spatial Pattern Feature Fusion Brain Network for Central Neuropathic Pain5
Self-Supervised Image Segmentation Using Meta-Learning and Multi-Backbone Feature Fusion5
Both Cross-Patient and Patient-Specific Seizure Detection Based on Self-Organizing Fuzzy Logic5
Epileptic Seizure Detection from EEG Signals with Long Short-Term Memory-Transformer and Self-Supervised Learning5
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