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 2021-09-01 to 2025-09-01.)
ArticleCitations
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, Inter83
Introduction70
A Heterogeneous Attractor Model for Neural Dynamical Mechanism of Movement Preparation70
Editorial — A journal that promotes excellence through uncompromising review process: Reflection of freedom of speech and scientific publication59
Scene Text Detection Based on Text Stroke Components52
Impulsivity Classification Using EEG Power and Explainable Machine Learning52
Neonatal White Matter Damage Analysis Using DTI Super-Resolution and Multi-Modality Image Registration47
Matrix Representation of Virus Machines and an Application to the Discrete Logarithm Problem41
Edge Computing Transformers for Fall Detection in Older Adults41
Adaptive Dynamic Surface Control of Epileptor Model Based on Nonlinear Luenberger State Observer38
Author Index Volume 31 (2021)36
Dynamic Regulation of the Serotonin–Dopamine Interaction Within a Meta-reinforcement Learning Framework Encompassing the Prefrontal Cortex and Basal Ganglia34
Epileptic Seizure Detection with an End-to-End Temporal Convolutional Network and Bidirectional Long Short-Term Memory Model31
On the Tuning of the Computation Capability of Spiking Neural Membrane Systems with Communication on Request31
Wavelet-Based Biphase Analysis of Brain Rhythms in Automated Wake–Sleep Classification31
A Diagnostic Strategy via Multiresolution Synchrosqueezing Transform on Obsessive Compulsive Disorder31
Graph Spectral Analysis Using Electroencephalography in Alzheimer Disease and Frontotemporal Dementia Patients30
Announcement: The 2023 Hojjat Adeli Award for Outstanding Contributions in Neural Systems29
Decoding Continuous Tracking Eye Movements from Cortical Spiking Activity28
Asynchronous Numerical Spiking Neural Membrane Systems with Local Synchronization27
Automated Quality Evaluation of Large-Scale Benchmark Datasets for Vision-Language Tasks27
Minimal Neural Network Conditions for Encoding Future Interactions27
Automatic Seizure Identification from EEG Signals Based on Brain Connectivity Learning27
Bimodal Feature Analysis with Deep Learning for Autism Spectrum Disorder Detection26
Attention-Based Convolutional Recurrent Deep Neural Networks for the Prediction of Response to Repetitive Transcranial Magnetic Stimulation for Major Depressive Disorder26
An Enhanced Random Convolutional Kernel Transform for Diverse and Robust Feature Extraction from High-Density Surface Electromyograms for Cross-day Gesture Recognition26
Performance Evaluation of Error-Correcting Output Coding Based on Noisy and Noiseless Binary Classifiers25
Control of Transcranial Direct Current Stimulation Duration by Assessing Functional Connectivity of Near-Infrared Spectroscopy Signals25
Anomaly Detection Using Complete Cycle Consistent Generative Adversarial Network25
Improved Neurophysiological Process Imaging Through Optimization of Kalman Filter Initial Conditions24
A Forward Learning Algorithm for Neural Memory Ordinary Differential Equations24
Human Gait Activity Recognition Using Multimodal Sensors24
Detection of Movement Intention in EEG-Based Brain-Computer Interfaces Using Fourier-Based Synchrosqueezing Transform24
A Sentiment Analysis Anomaly Detection System for Cyber Intelligence24
A Salient Object Detection Network Enhanced by Nonlinear Spiking Neural Systems and Transformer23
Decoding Color Visual Working Memory from EEG Signals Using Graph Convolutional Neural Networks23
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
Bridges Between Spiking Neural Membrane Systems and Virus Machines22
End-User Confidence in Artificial Intelligence-Based Predictions Applied to Biomedical Data22
Modeling Emerging Interpersonal Synchrony and its Related Adaptive Short-Term Affiliation and Long-Term Bonding: A Second-Order Multi-Adaptive Neural Agent Model21
Reducing Artifact Preprocessing in Heart Rate Variability-Based Personalized Psychosis Prediction Using Adaptive Long Short-Term Memory Models21
Tiled Sparse Coding in Eigenspaces for Image Classification19
Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation18
Tiny Convolutional Neural Network with Supervised Contrastive Learning for Epileptic Seizure Prediction18
Discriminative Power of Handwriting and Drawing Features in Depression18
A Hardware-Efficient Novelty-Aware Spike Sorting Approach for Brain-Implantable Microsystems18
Multi-View Graph Contrastive Learning via Adaptive Channel Optimization for Depression Detection in EEG Signals18
Neuronal Waveform Classification in Multielectrode Recordings Using Machine Learning Techniques and Multidimensional Analysis17
Hierarchical Bayesian Causality Network to Extract High-Level Semantic Information in Visual Cortex17
An Evolutionary Attention-Based Network for Medical Image Classification17
A Prediction Model Based on Gated Nonlinear Spiking Neural Systems17
Quantifying the Generation Process of Multi-Level Tactile Sensations via ERP Component Investigation16
Brain Networks Modulation in Young and Old Subjects During Transcranial Direct Current Stimulation Applied on Prefrontal and Parietal Cortex16
Adolescent Depression Detection Model Based on Multimodal Data of Interview Audio and Text16
Epileptic Seizure Prediction Using Attention Augmented Convolutional Network16
A Conditional Generative Adversarial Network and Transfer Learning-Oriented Anomaly Classification System for Electrospun Nanofibers16
Motor Intention Decoding from the Upper Limb by Graph Convolutional Network Based on Functional Connectivity15
Coherence-Based Graph Convolution Network to Assess Brain Reorganization in Spinal Cord Injury Patients15
Driver Drowsiness EEG Detection Based on Tree Federated Learning and Interpretable Network15
A Prediction Model for Normal Variation of Somatosensory Evoked Potential During Scoliosis Surgery15
A Bidirectional Feedforward Neural Network Architecture Using the Discretized Neural Memory Ordinary Differential Equation15
A Federated Learning Protocol for Spiking Neural Membrane Systems15
From Intricacy to Conciseness: A Progressive Transfer Strategy for EEG-Based Cross-Subject Emotion Recognition14
Supported Diagnosis of Attention Deficit and Hyperactivity Disorder from EEG Based on Interpretable Kernels for Hidden Markov Models14
Classification of Depth of Coma Using Complexity Measures and Nonlinear Features of Electroencephalogram Signals14
Introduction14
A Feed-Forward Neural Network for Increasing the Hopfield-Network Storage Capacity14
Architecture Knowledge Distillation for Evolutionary Generative Adversarial Network14
Toward a Biologically Plausible SNN-Based Associative Memory with Context-Dependent Hebbian Connectivity14
Uncertainty-Guided Voxel-Level Supervised Contrastive Learning for Semi-Supervised Medical Image Segmentation14
Algorithm Recommendation and Performance Prediction Using Meta-Learning14
Online and Cross-User Finger Movement Pattern Recognition by Decoding Neural Drive Information from Surface Electromyogram14
Unsupervised Brain MRI Anomaly Detection via Inter-Realization Channels13
Spatial-Temporal Dynamic Hypergraph Information Bottleneck for Brain Network Classification13
Hybrid Network for Patient-Specific Seizure Prediction from EEG Data13
Bridging Imaging and Clinical Scores in Parkinson’s Progression via Multimodal Self-Supervised Deep Learning13
Dynamics of the “Cognitive” Brain Wave P3b at Rest for Alzheimer Dementia Prediction in Mild Cognitive Impairment13
Brain Computer Interfaces for Assisted Communication in Paralysis and Quality of Life13
Enhancing Motor Imagery Classification with Residual Graph Convolutional Networks and Multi-Feature Fusion13
Unsupervised Neural Manifold Alignment for Stable Decoding of Movement from Cortical Signals12
Author Index: Volume 33 (2023)12
Crowd Counting Using Meta-Test-Time Adaptation12
Consensus-Based 3D View Generation from Noisy Images11
Epileptic EEG Classification via Graph Transformer Network11
Lightweight Seizure Detection Based on Multi-Scale Channel Attention11
Sparse Spiking Neural-Like Membrane Systems on Graphics Processing Units11
Analysis of fMRI Signals from Working Memory Tasks and Resting-State of Brain: Neutrosophic-Entropy-Based Clustering Algorithm11
A Method based on Evolutionary Algorithms and Channel Attention Mechanism to Enhance Cycle Generative Adversarial Network Performance for Image Translation11
A Context-Dependent CNN-Based Framework for Multiple Sclerosis Segmentation in MRI11
Epileptic Seizure Prediction Using Deep Neural Networks Via Transfer Learning and Multi-Feature Fusion11
Spiking Neural Membrane Systems with Adaptive Synaptic Time Delay10
Mixture 2D Convolutions for 3D Medical Image Segmentation10
Enhanced Graph Attention Network by Integrating Transformer for Epileptic EEG Identification10
Brain Connectivity Variability Influences Anxiety Through the Behavioral Inhibition System10
Continual Learning by Contrastive Learning of Regularized Classes in Multivariate Gaussian Distributions10
Dominant Classifier-assisted Hybrid Evolutionary Multi-objective Neural Architecture Search10
Multi-Label Zero-Shot Learning Via Contrastive Label-Based Attention10
Six-Center Assessment of CNN-Transformer with Belief Matching Loss for Patient-Independent Seizure Detection in EEG10
Compact Convolutional Neural Network with Multi-Headed Attention Mechanism for Seizure Prediction10
An Efficient Multi-Objective Evolutionary Zero-Shot Neural Architecture Search Framework for Image Classification9
Unraveling the Differential Efficiency of Dorsal and Ventral Pathways in Visual Semantic Decoding9
Deep Convolution Generative Adversarial Network-Based Electroencephalogram Data Augmentation for Post-Stroke Rehabilitation with Motor Imagery9
Diagnosis of Autism Disorder Based on Deep Network Trained by Augmented EEG Signals9
Incremental Confidence Sampling with Optimal Transport for Domain Adaptation9
Classification of Epileptic and Psychogenic Nonepileptic Seizures via Time–Frequency Features of EEG Data8
Localization of Epileptic Brain Responses to Single-Pulse Electrical Stimulation by Developing an Adaptive Iterative Linearly Constrained Minimum Variance Beamformer8
Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning8
Autism Spectrum Disorder Detection Using Prominent Connectivity Features from Electroencephalography8
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia8
Introduction8
Physiological response in children with Autism Spectrum Disorder (ASD) during social robot interaction8
Multi-Order Extension Codes for Palmprint Recognition8
Understanding the Spatio-Temporal Coupling of Spikes and Spindles in Focal Epilepsy Through a Network-Level Computational Model8
Announcement: The 2022 Hojjat Adeli Award for Outstanding Contributions in Neural Systems8
Exploiting Textual Information for Fake News Detection8
Editorial: The Art of Editing a High Impact Scientific Journal — The Case of IJNS8
Epileptic Seizure Prediction Using Deep Transformer Model8
Effects of Emotional Olfactory Stimuli on Modulating Angry Driving Based on an EEG Connectivity Study8
An Experimental Study of Neural Approaches to Multi-Hop Inference in Question Answering8
A Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals8
Seizure Detection of EEG Signals Based on Multi-Channel Long- and Short-Term Memory-Like Spiking Neural Model7
Multimodal Covariance Network Reflects Individual Cognitive Flexibility7
First Longitudinal Study Using Binaural Beats on Parkinson Disease7
Electroencephalography Decoding with Conditional Identification Generator7
Data Compliance Utilization Method Based on Adaptive Differential Privacy and Federated Learning7
Affective Action and Interaction Recognition by Multi-View Representation Learning from Handcrafted Low-Level Skeleton Features7
Enhancing Robustness of Medical Image Segmentation Model with Neural Memory Ordinary Differential Equation7
Spatio-Temporal Image-Based Encoded Atlases for EEG Emotion Recognition7
Evaluation of Brain Functional Connectivity from Electroencephalographic Signals Under Different Emotional States7
Effect of Action Units, Viewpoint and Immersion on Emotion Recognition Using Dynamic Virtual Faces7
Seizure Detection Based on Lightweight Inverted Residual Attention Network7
Enzymatic Numerical Spiking Neural Membrane Systems and their Application in Designing Membrane Controllers7
Multi-Semantic Decoding of Visual Perception with Graph Neural Networks7
Introduction7
Neuro-Inspired Reinforcement Learning to Improve Trajectory Prediction in Reward-Guided Behavior7
Cross-Subject Seizure Detection via Unsupervised Domain-Adaptation7
Deep Learning Recognition of Paroxysmal Kinesigenic Dyskinesia Based on EEG Functional Connectivity6
Using Virus Machines to Compute Pairing Functions6
Separating Inhibitory and Excitatory Responses of Epileptic Brain to Single-Pulse Electrical Stimulation6
Multimodal Integration of EEG and Near-Infrared Spectroscopy for Robust Cross-Frequency Coupling Estimation6
Multi-Objective Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification6
Quantitative Assessment of Electroencephalogram Reactivity in Comatose Patients on Extracorporeal Membrane Oxygenation6
A Vector Quantization-Based Spike Compression Approach Dedicated to Multichannel Neural Recording Microsystems6
Wavelet Transform, Reconstructed Phase Space, and Deep Learning Neural Networks for EEG-Based Schizophrenia Detection6
Editorial: Celebration of the 30th Anniversary of IJNS6
Kuramoto Model-Based Analysis Reveals Oxytocin Effects on Brain Network Dynamics6
Efficient Seizure Detection by Complementary Integration of Convolutional Neural Network and Vision Transformer6
Performance Evaluation of Deep, Shallow and Ensemble Machine Learning Methods for the Automated Classification of Alzheimer’s Disease6
Enhanced Multitask Learning for Hash Code Generation of Palmprint Biometrics6
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
Self-Supervised Image Segmentation Using Meta-Learning and Multi-Backbone Feature Fusion6
Classification of Low and High Schizotypy Levels via Evaluation of Brain Connectivity6
A Multimodal Fusion Approach for Human Activity Recognition6
VPNET: Variable Projection Networks5
Dual-Modal Information Bottleneck Network for Seizure Detection5
A Novel State Space Model with Dynamic Graphic Neural Network for EEG Event Detection5
Exploring the Versatility of Spiking Neural Networks: Applications Across Diverse Scenarios5
Combining EEG Features and Convolutional Autoencoder for Neonatal Seizure Detection5
Both Cross-Patient and Patient-Specific Seizure Detection Based on Self-Organizing Fuzzy Logic5
Interactive EEG Emotion Recognition with Incremental Gaussian Processes5
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 Journal5
Predicting Intraoperative Burst Suppression Using Preoperative EEG and Patient Characteristics5
Post-Movement Beta Rebound for Longitudinal Monitoring of Motor Rehabilitation in Stroke Patients Using an Exoskeleton-Assisted Paradigm5
One-Dimensional Local Binary Pattern and Common Spatial Pattern Feature Fusion Brain Network for Central Neuropathic Pain5
Brain Network Organization Following Post-Stroke Neurorehabilitation5
Predicting a Time-Dependent Quantity Using Recursive Generative Query Network5
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