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 2021-12-01 to 2025-12-01.)
ArticleCitations
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy99
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex89
Editorial: Innovative methods for sleep staging using neuroinformatics81
The quest to share data68
Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings50
FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network47
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction46
Intra-V1 functional networks and classification of observed stimuli41
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database38
Editorial: Neuroinformatics of large-scale brain modelling38
State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles37
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques34
A computational model of Alzheimer's disease at the nano, micro, and macroscales34
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatment30
A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor28
Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps27
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data27
Unsupervised method for representation transfer from one brain to another25
Erratum: Mapping and validating a point neuron model on Intel's neuromorphic hardware Loihi24
Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies24
A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons24
SynCoPa: Visualizing Connectivity Paths and Synapses Over Detailed Morphologies24
Correction: Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression23
Tracking axon initial segment plasticity using high-density microelectrode arrays: A computational study21
Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression21
Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN20
Multi-threshold image segmentation for melanoma based on Kapur’s entropy using enhanced ant colony optimization20
Analyzing Complex Problem Solving by Dynamic Brain Networks19
Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks19
QuNex—An integrative platform for reproducible neuroimaging analytics19
Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation18
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients18
Light-weight neural network for intra-voxel structure analysis18
Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study17
BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures17
NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use17
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub17
Alternative patterns of deep brain stimulation in neurologic and neuropsychiatric disorders16
A review of risk concepts and models for predicting the risk of primary stroke16
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute16
Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on “Frontiers in Neuroinformatics”16
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models16
Super-resolution microscopy and deep learning methods: what can they bring to neuroscience: from neuron to 3D spine segmentation15
EpiBOX: An Automated Platform for Long-Term Biosignal Collection15
Corrigendum: Mapping and validating a point neuron model on intel's neuromorphic hardware Loihi15
Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study15
Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation15
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI15
A systematic comparison of deep learning methods for EEG time series analysis14
Editorial: Addressing large scale computing challenges in neuroscience: current advances and future directions14
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks14
Long-range temporal correlations in resting state alpha oscillations in major depressive disorder and obsessive-compulsive disorder14
Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning14
Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps14
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data14
Multi-omics integration reveals a six-malignant cell maker gene signature for predicting prognosis in high-risk neuroblastoma14
Discovering optimal features for neuron-type identification from extracellular recordings13
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint13
Machine learning reveals interhemispheric somatosensory coherence as indicator of anesthetic depth13
Time-Frequency Representations of Brain Oscillations: Which One Is Better?13
ConGen—A Simulator-Agnostic Visual Language for Definition and Generation of Connectivity in Large and Multiscale Neural Networks13
Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus13
SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation13
Enhanced Performance by Interpretable Low-Frequency Electroencephalogram Oscillations in the Machine Learning-Based Diagnosis of Post-traumatic Stress Disorder13
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia12
Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals12
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks12
Events in context—The HED framework for the study of brain, experience and behavior12
Power spectral analysis of voltage-gated channels in neurons12
STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale12
Contrastive self-supervised learning for neurodegenerative disorder classification12
Editorial: Weakly supervised deep learning-based methods for brain image analysis12
Brain-Computer Interface using neural network and temporal-spectral features11
Investigating cortical complexity and connectivity in rats with schizophrenia11
A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography11
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM11
Brain structural alterations in young girls with Rett syndrome: A voxel-based morphometry and tract-based spatial statistics study11
PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS11
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset10
Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study10
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 Segmentations10
Multiscale co-simulation design pattern for neuroscience applications10
Neuroimaging article reexecution and reproduction assessment system10
Editorial: Reproducible analysis in neuroscience10
Explainable artificial intelligence based on feature optimization for age at onset prediction of spinocerebellar ataxia type 39
Can micro-expressions be used as a biomarker for autism spectrum disorder?9
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models9
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 sclerosis9
Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks9
Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning9
A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography Data8
The ROSMAP project: aging and neurodegenerative diseases through omic sciences8
Software and pipelines for registration and analyses of rodent brain image data in reference atlas space8
EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis8
Efficient simulation of neural development using shared memory parallelization8
A canonical polyadic tensor basis for fast Bayesian estimation of multi-subject brain activation patterns8
Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection8
Large language models can extract metadata for annotation of human neuroimaging publications8
Editorial: Physical neuromorphic computing and its industrial applications8
Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series8
Progressive 3D biomedical image registration network based on deep self-calibration8
Neural simulation pipeline: Enabling container-based simulations on-premise and in public clouds8
Identifying Boys With Autism Spectrum Disorder Based on Whole-Brain Resting-State Interregional Functional Connections Using a Boruta-Based Support Vector Machine Approach8
FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research8
Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface8
Editorial: Recent applications of noninvasive physiological signals and artificial intelligence8
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