Frontiers in Neuroinformatics

Papers
(The TQCC of Frontiers in Neuroinformatics is 8. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Editorial: Innovative methods for sleep staging using neuroinformatics139
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex84
The quest to share data84
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy78
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction64
FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network52
Intra-V1 functional networks and classification of observed stimuli45
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatment43
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data38
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques34
Editorial: Neuroinformatics of large-scale brain modelling33
State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles32
A computational model of Alzheimer's disease at the nano, micro, and macroscales31
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 Approach29
A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor28
Tracking axon initial segment plasticity using high-density microelectrode arrays: A computational study26
Erratum: Mapping and validating a point neuron model on Intel's neuromorphic hardware Loihi26
Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps25
Unsupervised method for representation transfer from one brain to another25
Multi-threshold image segmentation for melanoma based on Kapur’s entropy using enhanced ant colony optimization23
Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks22
SynCoPa: Visualizing Connectivity Paths and Synapses Over Detailed Morphologies21
Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies21
Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression21
QuNex—An integrative platform for reproducible neuroimaging analytics20
Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN20
Correction: Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression20
Analyzing Complex Problem Solving by Dynamic Brain Networks18
Light-weight neural network for intra-voxel structure analysis17
Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on “Frontiers in Neuroinformatics”16
Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study16
Alternative patterns of deep brain stimulation in neurologic and neuropsychiatric disorders16
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute16
BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures16
NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use16
Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation16
A review of risk concepts and models for predicting the risk of primary stroke16
Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation15
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub15
Corrigendum: Mapping and validating a point neuron model on intel's neuromorphic hardware Loihi15
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models15
Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps15
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients15
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI14
Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study14
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks14
EpiBOX: An Automated Platform for Long-Term Biosignal Collection14
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data13
Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning13
Discovering optimal features for neuron-type identification from extracellular recordings13
Editorial: Addressing large scale computing challenges in neuroscience: current advances and future directions13
Multi-omics integration reveals a six-malignant cell maker gene signature for predicting prognosis in high-risk neuroblastoma13
A systematic comparison of deep learning methods for EEG time series analysis13
Long-range temporal correlations in resting state alpha oscillations in major depressive disorder and obsessive-compulsive disorder13
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint12
SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation12
Machine learning reveals interhemispheric somatosensory coherence as indicator of anesthetic depth12
Towards Bridging the Gap Between Computational Intelligence and Neuroscience in Brain-Computer Interfaces With a Common Description of Systems and Data12
ConGen—A Simulator-Agnostic Visual Language for Definition and Generation of Connectivity in Large and Multiscale Neural Networks12
Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus12
STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale11
PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks11
A Validation of Supervised Deep Learning for Gait Analysis in the Cat11
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia11
Time-Frequency Representations of Brain Oscillations: Which One Is Better?11
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks11
A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography11
Contrastive self-supervised learning for neurodegenerative disorder classification11
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-Computer Interface using neural network and temporal-spectral features10
Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks10
Events in context—The HED framework for the study of brain, experience and behavior10
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM10
Multiscale co-simulation design pattern for neuroscience applications10
Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study10
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
Editorial: Reproducible analysis in neuroscience10
Editorial: Weakly supervised deep learning-based methods for brain image analysis10
Brain structural alterations in young girls with Rett syndrome: A voxel-based morphometry and tract-based spatial statistics study10
Investigating cortical complexity and connectivity in rats with schizophrenia10
Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources9
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
Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism9
RealNeuralNetworks.jl: An Integrated Julia Package for Skeletonization, Morphological Analysis, and Synaptic Connectivity Analysis of Terabyte-Scale 3D Neural Segmentations8
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset8
Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis8
Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series8
Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface8
FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research8
Explainable artificial intelligence based on feature optimization for age at onset prediction of spinocerebellar ataxia type 38
Can micro-expressions be used as a biomarker for autism spectrum disorder?8
EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis8
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models8
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