OOIR: Observatory of International Research

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 2020-05-01 to 2024-05-01.)

Article	Citations
An Experimental Review on Deep Learning Architectures for Time Series Forecasting	226
Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron	123
Automated MRI-Based Deep Learning Model for Detection of Alzheimer’s Disease Process	106
A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks	84
A Complete Arithmetic Calculator Constructed from Spiking Neural P Systems and its Application to Information Fusion	78
An Adaptive Optimization Spiking Neural P System for Binary Problems	77
Medical Image Fusion Method Based on Coupled Neural P Systems in Nonsubsampled Shearlet Transform Domain	72
Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks	59
Epileptic EEG Classification by Using Time-Frequency Images for Deep Learning	53
A Layered Spiking Neural System for Classification Problems	50
Improved Overlap-based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson’s Disease	48
A Hybrid-Domain Deep Learning-Based BCI For Discriminating Hand Motion Planning From EEG Sources	45
Spiking Neural P Systems with Delay on Synapses	43
Machine Learning Algorithms and Statistical Approaches for Alzheimer’s Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review	42
Epileptic Seizure Prediction Using Deep Transformer Model	40
A Deep Fourier Neural Network for Seizure Prediction Using Convolutional Neural Network and Ratios of Spectral Power	40
Neurolight: A Deep Learning Neural Interface for Cortical Visual Prostheses	36
Dynamic Reorganization of the Cortical Functional Brain Network in Affective Processing and Cognitive Reappraisal	36
3D-Convolutional Neural Network with Generative Adversarial Network and Autoencoder for Robust Anomaly Detection in Video Surveillance	33
Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study	33
Graph Attention Network with Focal Loss for Seizure Detection on Electroencephalography Signals	32
Deep Support Vector Machines for the Identification of Stress Condition from Electrodermal Activity	31
Deep Learning for EEG Seizure Detection in Preterm Infants	31
Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach	28
A Neural Network for Image Anomaly Detection with Deep Pyramidal Representations and Dynamic Routing	27

Patient-Independent Seizure Detection Based on Channel-Perturbation Convolutional Neural Network and Bidirectional Long Short-Term Memory	26
A Time Series Forecasting Approach Based on Nonlinear Spiking Neural Systems	26
Impact of Machine Learning Pipeline Choices in Autism Prediction From Functional Connectivity Data	26
Spiking Neural P Systems with Extended Channel Rules	25
Detection of Trees on Street-View Images Using a Convolutional Neural Network	25
Arbitrary Scale Super-Resolution for Medical Images	25
Multiscaled Neural Autoregressive Distributed Lag: A New Empirical Mode Decomposition Model for Nonlinear Time Series Forecasting	25
Study of the Functional Brain Connectivity and Lower-Limb Motor Imagery Performance After Transcranial Direct Current Stimulation	23
Computationally-Efficient Algorithm for Real-Time Absence Seizure Detection in Wearable Electroencephalography	23
Time–Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis	23
Deep Convolution Generative Adversarial Network-Based Electroencephalogram Data Augmentation for Post-Stroke Rehabilitation with Motor Imagery	23
Epileptic Seizure Prediction Using Deep Neural Networks Via Transfer Learning and Multi-Feature Fusion	23
Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson’s Disease	23
Classification of Epileptic EEG Signals Using Synchrosqueezing Transform and Machine Learning	22
Multiplex and Multilayer Network EEG Analyses: A Novel Strategy in the Differential Diagnosis of Patients with Chronic Disorders of Consciousness	22
Electroencephalography-Derived Prognosis of Functional Recovery in Acute Stroke Through Machine Learning Approaches	22
Deep Learning Methods for Multi-Channel EEG-Based Emotion Recognition	22
Edge Detection Method Based on Nonlinear Spiking Neural Systems	22
Uncertainty-Guided Voxel-Level Supervised Contrastive Learning for Semi-Supervised Medical Image Segmentation	22
Optimization of Model Training Based on Iterative Minimum Covariance Determinant In Motor-Imagery BCI	21
The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis	21
An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation	21
EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia	21
Self-Adaptive Particle Swarm Optimization-Based Echo State Network for Time Series Prediction	20
Modeling Emerging Interpersonal Synchrony and its Related Adaptive Short-Term Affiliation and Long-Term Bonding: A Second-Order Multi-Adaptive Neural Agent Model	20
One-Dimensional Convolutional Neural Networks Combined with Channel Selection Strategy for Seizure Prediction Using Long-Term Intracranial EEG	19
Motor Intention Decoding from the Upper Limb by Graph Convolutional Network Based on Functional Connectivity	19
Concurrent Prediction of Finger Forces Based on Source Separation and Classification of Neuron Discharge Information	18
Personalized EEG Feature Selection for Low-Complexity Seizure Monitoring	18
LieToMe: An Ensemble Approach for Deception Detection from Facial Cues	18
Evolution-Communication Spiking Neural P Systems	18
Feature Selection Combining Filter and Wrapper Methods for Motor-Imagery Based Brain–Computer Interfaces	18
Neural Networks with Emotion Associations, Topic Modeling and Supervised Term Weighting for Sentiment Analysis	17
On the Tuning of the Computation Capability of Spiking Neural Membrane Systems with Communication on Request	17
Characterisation of Haemodynamic Activity in Resting State Networks by Fractal Analysis	17
Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain–Computer Interface	16
Classification of Low and High Schizotypy Levels via Evaluation of Brain Connectivity	16
A Knowledge-Based Deep Learning Architecture for Aspect-Based Sentiment Analysis	16
Channel Selection for Optimal EEG Measurement in Motor Imagery-Based Brain-Computer Interfaces	16
VPNET: Variable Projection Networks	15
Determination of Antiepileptic Drugs Withdrawal Through EEG Hjorth Parameter Analysis	15
An Attention-Aware Long Short-Term Memory-Like Spiking Neural Model for Sentiment Analysis	15
Control of Transcranial Direct Current Stimulation Duration by Assessing Functional Connectivity of Near-Infrared Spectroscopy Signals	14
Parallel Binary Image Cryptosystem Via Spiking Neural Networks Variants	14
Optimization of Neuroprosthetic Vision via End-to-End Deep Reinforcement Learning	14
A Neurorobotic Embodiment for Exploring the Dynamical Interactions of a Spiking Cerebellar Model and a Robot Arm During Vision-Based Manipulation Tasks	14
Revealing False Positive Features in Epileptic EEG Identification	14
A Prediction Model Based on Gated Nonlinear Spiking Neural Systems	14
Middle-Level Features for the Explanation of Classification Systems by Sparse Dictionary Methods	14
Spiking Neural P Systems with Astrocytes Producing Calcium	14

Automatic Seizure Identification from EEG Signals Based on Brain Connectivity Learning	14
A Swallowing Decoder Based on Deep Transfer Learning: AlexNet Classification of the Intracranial Electrocorticogram	14
Roughness-Length-Based Characteristic Analysis of Intracranial EEG and Epileptic Seizure Prediction	14
Compact Convolutional Neural Network with Multi-Headed Attention Mechanism for Seizure Prediction	13
Decoding Color Visual Working Memory from EEG Signals Using Graph Convolutional Neural Networks	13
Fractal Dimension Feature as a Signature of Severity in Disorders of Consciousness: An EEG Study	13
Quantifying Differences Between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images	12
Both Cross-Patient and Patient-Specific Seizure Detection Based on Self-Organizing Fuzzy Logic	12
Nonspecific Visuospatial Imagery as a Novel Mental Task for Online EEG-Based BCI Control	12
An Evolutionary Attention-Based Network for Medical Image Classification	12
Dual-Modal Information Bottleneck Network for Seizure Detection	12