International Journal of Neural Systems

Papers
(The TQCC of International Journal of Neural Systems is 13. 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
Editorial — A Journal that Promotes Excellence Through Uncompromising Review Process: Reflection of Freedom of Speech and Scientific Publication46
Impulsivity Classification Using EEG Power and Explainable Machine Learning46
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
Asynchronous Numerical Spiking Neural Membrane Systems with Local Synchronization34
Automatic Seizure Identification from EEG Signals Based on Brain Connectivity Learning34
Minimal Neural Network Conditions for Encoding Future Interactions33
Automated Quality Evaluation of Large-Scale Benchmark Datasets for Vision-Language Tasks31
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
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
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism22
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
Tiny Convolutional Neural Network with Supervised Contrastive Learning for Epileptic Seizure Prediction21
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
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
Hierarchical Bayesian Causality Network to Extract High-Level Semantic Information in Visual Cortex18
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
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
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
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
Unsupervised Brain MRI Anomaly Detection via Inter-Realization Channels14
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
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
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
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