International Journal of Neural Systems

Papers
(The TQCC of International Journal of Neural Systems is 11. 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 2020-02-01 to 2024-02-01.)
ArticleCitations
An Experimental Review on Deep Learning Architectures for Time Series Forecasting200
Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron114
Automated MRI-Based Deep Learning Model for Detection of Alzheimer’s Disease Process96
Automatic Seizure Detection using Fully Convolutional Nested LSTM84
A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks75
A Complete Arithmetic Calculator Constructed from Spiking Neural P Systems and its Application to Information Fusion75
An Adaptive Optimization Spiking Neural P System for Binary Problems72
Medical Image Fusion Method Based on Coupled Neural P Systems in Nonsubsampled Shearlet Transform Domain65
Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks55
Nonlinear Spiking Neural P Systems54
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks50
Epileptic EEG Classification by Using Time-Frequency Images for Deep Learning48
Improved Overlap-based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson’s Disease42
A Hybrid-Domain Deep Learning-Based BCI For Discriminating Hand Motion Planning From EEG Sources41
A Layered Spiking Neural System for Classification Problems40
A Deep Fourier Neural Network for Seizure Prediction Using Convolutional Neural Network and Ratios of Spectral Power39
Machine Learning Algorithms and Statistical Approaches for Alzheimer’s Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review39
Spiking Neural P Systems with Delay on Synapses39
Neurolight: A Deep Learning Neural Interface for Cortical Visual Prostheses34
A Training Data-Driven Canonical Correlation Analysis Algorithm for Designing Spatial Filters to Enhance Performance of SSVEP-Based BCIs34
Epileptic Seizure Prediction Using Deep Transformer Model33
3D-Convolutional Neural Network with Generative Adversarial Network and Autoencoder for Robust Anomaly Detection in Video Surveillance32
Dynamic Reorganization of the Cortical Functional Brain Network in Affective Processing and Cognitive Reappraisal32
Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study31
Graph Attention Network with Focal Loss for Seizure Detection on Electroencephalography Signals29
Deep Support Vector Machines for the Identification of Stress Condition from Electrodermal Activity28
Deep Learning for EEG Seizure Detection in Preterm Infants27
A Neural Network for Image Anomaly Detection with Deep Pyramidal Representations and Dynamic Routing27
Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach27
Impact of Machine Learning Pipeline Choices in Autism Prediction From Functional Connectivity Data26
Multiscaled Neural Autoregressive Distributed Lag: A New Empirical Mode Decomposition Model for Nonlinear Time Series Forecasting23
Patient-Independent Seizure Detection Based on Channel-Perturbation Convolutional Neural Network and Bidirectional Long Short-Term Memory23
Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson’s Disease22
Computationally-Efficient Algorithm for Real-Time Absence Seizure Detection in Wearable Electroencephalography22
Study of the Functional Brain Connectivity and Lower-Limb Motor Imagery Performance After Transcranial Direct Current Stimulation22
Arbitrary Scale Super-Resolution for Medical Images22
Classification of Epileptic EEG Signals Using Synchrosqueezing Transform and Machine Learning21
Spiking Neural P Systems with Extended Channel Rules21
The Impact of Repetitive Transcranial Magnetic Stimulation on Functional Connectivity in Major Depressive Disorder and Bipolar Disorder Evaluated by Directed Transfer Function and Indices Based on Gra21
Electroencephalography-Derived Prognosis of Functional Recovery in Acute Stroke Through Machine Learning Approaches21
Time–Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis20
EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia20
Optimization of Model Training Based on Iterative Minimum Covariance Determinant In Motor-Imagery BCI20
Uncertainty-Guided Voxel-Level Supervised Contrastive Learning for Semi-Supervised Medical Image Segmentation20
Detection of Trees on Street-View Images Using a Convolutional Neural Network19
Epileptic Seizure Prediction Using Deep Neural Networks Via Transfer Learning and Multi-Feature Fusion19
Motor Intention Decoding from the Upper Limb by Graph Convolutional Network Based on Functional Connectivity19
Deep Learning Methods for Multi-Channel EEG-Based Emotion Recognition19
The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis19
An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation18
Real-Time Multi-Modal Estimation of Dynamically Evoked Emotions Using EEG, Heart Rate and Galvanic Skin Response18
Multiplex and Multilayer Network EEG Analyses: A Novel Strategy in the Differential Diagnosis of Patients with Chronic Disorders of Consciousness18
Evolution-Communication Spiking Neural P Systems17
A Time Series Forecasting Approach Based on Nonlinear Spiking Neural Systems17
One-Dimensional Convolutional Neural Networks Combined with Channel Selection Strategy for Seizure Prediction Using Long-Term Intracranial EEG17
Self-Adaptive Particle Swarm Optimization-Based Echo State Network for Time Series Prediction17
Deep Convolution Generative Adversarial Network-Based Electroencephalogram Data Augmentation for Post-Stroke Rehabilitation with Motor Imagery17
Characterisation of Haemodynamic Activity in Resting State Networks by Fractal Analysis16
LieToMe: An Ensemble Approach for Deception Detection from Facial Cues16
Concurrent Prediction of Finger Forces Based on Source Separation and Classification of Neuron Discharge Information16
Channel Selection for Optimal EEG Measurement in Motor Imagery-Based Brain-Computer Interfaces15
A Knowledge-Based Deep Learning Architecture for Aspect-Based Sentiment Analysis15
Determination of Antiepileptic Drugs Withdrawal Through EEG Hjorth Parameter Analysis15
Modeling Emerging Interpersonal Synchrony and its Related Adaptive Short-Term Affiliation and Long-Term Bonding: A Second-Order Multi-Adaptive Neural Agent Model15
Roughness-Length-Based Characteristic Analysis of Intracranial EEG and Epileptic Seizure Prediction14
Revealing False Positive Features in Epileptic EEG Identification14
Middle-Level Features for the Explanation of Classification Systems by Sparse Dictionary Methods14
Feature Selection Combining Filter and Wrapper Methods for Motor-Imagery Based Brain–Computer Interfaces14
Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain–Computer Interface13
Automatic Seizure Identification from EEG Signals Based on Brain Connectivity Learning13
Spiking Neural P Systems with Astrocytes Producing Calcium13
VPNET: Variable Projection Networks13
Classification of Low and High Schizotypy Levels via Evaluation of Brain Connectivity13
Neural Networks with Emotion Associations, Topic Modeling and Supervised Term Weighting for Sentiment Analysis13
Olfactory EEG Signal Classification Using a Trapezoid Difference-Based Electrode Sequence Hashing Approach12
Control of Transcranial Direct Current Stimulation Duration by Assessing Functional Connectivity of Near-Infrared Spectroscopy Signals12
A Swallowing Decoder Based on Deep Transfer Learning: AlexNet Classification of the Intracranial Electrocorticogram12
Personalized EEG Feature Selection for Low-Complexity Seizure Monitoring12
Decoding Color Visual Working Memory from EEG Signals Using Graph Convolutional Neural Networks12
Distinct Patterns of Functional Connectivity During the Comprehension of Natural, Narrative Speech11
Dendrite P Systems Toolbox: Representation, Algorithms and Simulators11
Incorporating Uncertainty in Data Labeling into Automatic Detection of Interictal Epileptiform Discharges from Concurrent Scalp-EEG via Multi-way Analysis11
Improving Botulinum Toxin Efficiency in Treating Post-Stroke Spasticity Using 3D Innervation Zone Imaging11
Optimization of Neuroprosthetic Vision via End-to-End Deep Reinforcement Learning11
Improved Activity Recognition Combining Inertial Motion Sensors and Electroencephalogram Signals11
On the Tuning of the Computation Capability of Spiking Neural Membrane Systems with Communication on Request11
Role of the Ipsilateral Primary Motor Cortex in the Visuo-Motor Network During Fine Contractions and Accurate Performance11
Nonspecific Visuospatial Imagery as a Novel Mental Task for Online EEG-Based BCI Control11
Both Cross-Patient and Patient-Specific Seizure Detection Based on Self-Organizing Fuzzy Logic11
A Prototype of EEG System for IoT11
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