International Journal of Neural Systems

Papers
(The TQCC of International Journal of Neural Systems is 12. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
An Experimental Review on Deep Learning Architectures for Time Series Forecasting272
A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks86
A Layered Spiking Neural System for Classification Problems66
Epileptic EEG Classification by Using Time-Frequency Images for Deep Learning64
Epileptic Seizure Prediction Using Deep Transformer Model50
A Hybrid-Domain Deep Learning-Based BCI For Discriminating Hand Motion Planning From EEG Sources49
A Deep Fourier Neural Network for Seizure Prediction Using Convolutional Neural Network and Ratios of Spectral Power43
Machine Learning Algorithms and Statistical Approaches for Alzheimer’s Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review43
A Time Series Forecasting Approach Based on Nonlinear Spiking Neural Systems39
Edge Detection Method Based on Nonlinear Spiking Neural Systems39
Graph Attention Network with Focal Loss for Seizure Detection on Electroencephalography Signals38
Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study36
Deep Learning for EEG Seizure Detection in Preterm Infants35
Patient-Independent Seizure Detection Based on Channel-Perturbation Convolutional Neural Network and Bidirectional Long Short-Term Memory32
Arbitrary Scale Super-Resolution for Medical Images31
An Attention-Aware Long Short-Term Memory-Like Spiking Neural Model for Sentiment Analysis30
Deep Convolution Generative Adversarial Network-Based Electroencephalogram Data Augmentation for Post-Stroke Rehabilitation with Motor Imagery30
Detection of Trees on Street-View Images Using a Convolutional Neural Network28
Impact of Machine Learning Pipeline Choices in Autism Prediction From Functional Connectivity Data28
Deep Learning Methods for Multi-Channel EEG-Based Emotion Recognition27
Uncertainty-Guided Voxel-Level Supervised Contrastive Learning for Semi-Supervised Medical Image Segmentation27
Epileptic Seizure Prediction Using Deep Neural Networks Via Transfer Learning and Multi-Feature Fusion27
Time–Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis26
An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation25
A Prediction Model Based on Gated Nonlinear Spiking Neural Systems25
Modeling Emerging Interpersonal Synchrony and its Related Adaptive Short-Term Affiliation and Long-Term Bonding: A Second-Order Multi-Adaptive Neural Agent Model25
Concurrent Prediction of Finger Forces Based on Source Separation and Classification of Neuron Discharge Information24
Electroencephalography-Derived Prognosis of Functional Recovery in Acute Stroke Through Machine Learning Approaches23
Classification of Epileptic EEG Signals Using Synchrosqueezing Transform and Machine Learning23
Self-Adaptive Particle Swarm Optimization-Based Echo State Network for Time Series Prediction22
Channel Selection for Optimal EEG Measurement in Motor Imagery-Based Brain-Computer Interfaces22
On the Tuning of the Computation Capability of Spiking Neural Membrane Systems with Communication on Request22
Evolution-Communication Spiking Neural P Systems21
Optimization of Model Training Based on Iterative Minimum Covariance Determinant In Motor-Imagery BCI21
The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis21
A Transformer-Embedded Multi-Task Model for Dose Distribution Prediction20
One-Dimensional Convolutional Neural Networks Combined with Channel Selection Strategy for Seizure Prediction Using Long-Term Intracranial EEG20
Personalized EEG Feature Selection for Low-Complexity Seizure Monitoring20
A Neurorobotic Embodiment for Exploring the Dynamical Interactions of a Spiking Cerebellar Model and a Robot Arm During Vision-Based Manipulation Tasks19
Motor Intention Decoding from the Upper Limb by Graph Convolutional Network Based on Functional Connectivity19
Classification of Low and High Schizotypy Levels via Evaluation of Brain Connectivity19
Enzymatic Numerical Spiking Neural Membrane Systems and their Application in Designing Membrane Controllers19
Compact Convolutional Neural Network with Multi-Headed Attention Mechanism for Seizure Prediction19
Neural Networks with Emotion Associations, Topic Modeling and Supervised Term Weighting for Sentiment Analysis19
Feature Selection Combining Filter and Wrapper Methods for Motor-Imagery Based Brain–Computer Interfaces19
Parallel Binary Image Cryptosystem Via Spiking Neural Networks Variants19
Both Cross-Patient and Patient-Specific Seizure Detection Based on Self-Organizing Fuzzy Logic18
Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain–Computer Interface18
LieToMe: An Ensemble Approach for Deception Detection from Facial Cues18
A Knowledge-Based Deep Learning Architecture for Aspect-Based Sentiment Analysis17
A Method based on Evolutionary Algorithms and Channel Attention Mechanism to Enhance Cycle Generative Adversarial Network Performance for Image Translation17
Automatic Seizure Identification from EEG Signals Based on Brain Connectivity Learning17
On Spiking Neural Membrane Systems with Neuron and Synapse Creation16
A Conditional Generative Adversarial Network and Transfer Learning-Oriented Anomaly Classification System for Electrospun Nanofibers16
Spiking Neural P Systems with Astrocytes Producing Calcium16
Fractal Dimension Feature as a Signature of Severity in Disorders of Consciousness: An EEG Study16
Roughness-Length-Based Characteristic Analysis of Intracranial EEG and Epileptic Seizure Prediction15
Control of Transcranial Direct Current Stimulation Duration by Assessing Functional Connectivity of Near-Infrared Spectroscopy Signals15
VPNET: Variable Projection Networks15
Optimization of Neuroprosthetic Vision via End-to-End Deep Reinforcement Learning14
A Class-Imbalance Aware and Explainable Spatio-Temporal Graph Attention Network for Neonatal Seizure Detection14
Dendrite P Systems Toolbox: Representation, Algorithms and Simulators14
Dual-Modal Information Bottleneck Network for Seizure Detection14
A Robust 3D-Convolutional Neural Network-Based Electroencephalogram Decoding Model for the Intra-Individual Difference14
Decoding Color Visual Working Memory from EEG Signals Using Graph Convolutional Neural Networks14
Mixture 2D Convolutions for 3D Medical Image Segmentation13
Detection of Alzheimer’s Dementia by Using Signal Decomposition and Machine Learning Methods13
Hybrid Attention Network for Epileptic EEG Classification13
An Evolutionary Attention-Based Network for Medical Image Classification13
Evaluation of Brain Functional Connectivity from Electroencephalographic Signals Under Different Emotional States13
Six-Center Assessment of CNN-Transformer with Belief Matching Loss for Patient-Independent Seizure Detection in EEG13
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism13
Emotion Classification from EEG with a Low-Cost BCI Versus a High-End Equipment13
Masked Transformer for Image Anomaly Localization12
Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern12
Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim12
Deep Multimodal Neural Network Based on Data-Feature Fusion for Patient-Specific Quality Assurance12
Role of the Ipsilateral Primary Motor Cortex in the Visuo-Motor Network During Fine Contractions and Accurate Performance12
A Hybrid Time-Distributed Deep Neural Architecture for Speech Emotion Recognition12
Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning12
Vagus Nerve Electroneurogram-Based Detection of Acute Pentylenetetrazol Induced Seizures in Rats12
Quantifying Differences Between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images12
Affective Action and Interaction Recognition by Multi-View Representation Learning from Handcrafted Low-Level Skeleton Features12
Diagnosis of Autism Disorder Based on Deep Network Trained by Augmented EEG Signals12
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