Frontiers in Neuroinformatics

Papers
(The TQCC of Frontiers in Neuroinformatics is 7. 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
Editorial: Innovative methods for sleep staging using neuroinformatics140
The quest to share data86
Intra-V1 functional networks and classification of observed stimuli78
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex66
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy58
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction48
Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings45
FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network39
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatment38
A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor35
A computational model of Alzheimer's disease at the nano, micro, and macroscales32
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data32
Editorial: Neuroinformatics of large-scale brain modelling31
State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles30
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database30
Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach26
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques26
Erratum: Mapping and validating a point neuron model on Intel's neuromorphic hardware Loihi25
Tracking axon initial segment plasticity using high-density microelectrode arrays: A computational study25
Unsupervised method for representation transfer from one brain to another23
Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps23
Multi-threshold image segmentation for melanoma based on Kapur’s entropy using enhanced ant colony optimization22
Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks21
Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN20
Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies20
SynCoPa: Visualizing Connectivity Paths and Synapses Over Detailed Morphologies20
Analyzing Complex Problem Solving by Dynamic Brain Networks19
Correction: Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression18
A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons17
QuNex—An integrative platform for reproducible neuroimaging analytics17
Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression17
BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures16
Light-weight neural network for intra-voxel structure analysis16
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients16
Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study16
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub16
Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation16
Alternative patterns of deep brain stimulation in neurologic and neuropsychiatric disorders15
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models15
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute15
Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on “Frontiers in Neuroinformatics”15
Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation14
A review of risk concepts and models for predicting the risk of primary stroke14
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks14
NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use14
Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps14
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI13
Corrigendum: Mapping and validating a point neuron model on intel's neuromorphic hardware Loihi13
A systematic comparison of deep learning methods for EEG time series analysis13
EpiBOX: An Automated Platform for Long-Term Biosignal Collection13
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data13
Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study13
SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation12
Multi-omics integration reveals a six-malignant cell maker gene signature for predicting prognosis in high-risk neuroblastoma12
Machine learning reveals interhemispheric somatosensory coherence as indicator of anesthetic depth12
ConGen—A Simulator-Agnostic Visual Language for Definition and Generation of Connectivity in Large and Multiscale Neural Networks12
Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning12
Editorial: Addressing large scale computing challenges in neuroscience: current advances and future directions12
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks12
Discovering optimal features for neuron-type identification from extracellular recordings12
Long-range temporal correlations in resting state alpha oscillations in major depressive disorder and obsessive-compulsive disorder12
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint12
Time-Frequency Representations of Brain Oscillations: Which One Is Better?11
Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus11
Events in context—The HED framework for the study of brain, experience and behavior11
PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks11
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia11
Contrastive self-supervised learning for neurodegenerative disorder classification11
STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale11
Enhanced Performance by Interpretable Low-Frequency Electroencephalogram Oscillations in the Machine Learning-Based Diagnosis of Post-traumatic Stress Disorder11
PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS11
Brain structural alterations in young girls with Rett syndrome: A voxel-based morphometry and tract-based spatial statistics study10
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM10
Editorial: Reproducible analysis in neuroscience10
Multiscale co-simulation design pattern for neuroscience applications10
Power spectral analysis of voltage-gated channels in neurons10
Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals10
A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography10
Brain-Computer Interface using neural network and temporal-spectral features10
Investigating cortical complexity and connectivity in rats with schizophrenia10
Editorial: Weakly supervised deep learning-based methods for brain image analysis10
Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources10
RealNeuralNetworks.jl: An Integrated Julia Package for Skeletonization, Morphological Analysis, and Synaptic Connectivity Analysis of Terabyte-Scale 3D Neural Segmentations9
Can micro-expressions be used as a biomarker for autism spectrum disorder?9
Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning9
Neuroimaging article reexecution and reproduction assessment system9
Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks9
Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism9
Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis8
Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study8
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models8
Explainable artificial intelligence based on feature optimization for age at onset prediction of spinocerebellar ataxia type 38
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset8
Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface8
Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series8
FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research8
Editorial: Recent applications of noninvasive physiological signals and artificial intelligence7
Editorial: Physical neuromorphic computing and its industrial applications7
A canonical polyadic tensor basis for fast Bayesian estimation of multi-subject brain activation patterns7
The ROSMAP project: aging and neurodegenerative diseases through omic sciences7
Editorial: Bringing together data- and knowledge-driven solutions for a better understanding and effective diagnostics of neurological disorders7
Brain subnetworks most sensitive to alterations of functional connectivity in Schizophrenia: a data-driven approach7
Efficient simulation of neural development using shared memory parallelization7
Estimation of Emotional Arousal Changes of a Group of Individuals During Movie Screening Using Steady-State Visual-Evoked Potential7
Large language models can extract metadata for annotation of human neuroimaging publications7
Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection7
A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China7
Sensitivity analysis of a mathematical model of Alzheimer's disease progression unveils important causal pathways7
A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography Data7
Progressive 3D biomedical image registration network based on deep self-calibration7
Neural simulation pipeline: Enabling container-based simulations on-premise and in public clouds7
EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis7
Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST7
Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury7
Identifying Boys With Autism Spectrum Disorder Based on Whole-Brain Resting-State Interregional Functional Connections Using a Boruta-Based Support Vector Machine Approach7
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