Frontiers in Neuroinformatics

Papers
(The median citation count of Frontiers in Neuroinformatics is 3. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy147
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction97
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex87
Editorial: Innovative methods for sleep staging using neuroinformatics78
The quest to share data64
Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings49
FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network45
Intra-V1 functional networks and classification of observed stimuli43
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database41
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatment37
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data36
Editorial: Neuroinformatics of large-scale brain modelling35
State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles33
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques32
A computational model of Alzheimer's disease at the nano, micro, and macroscales29
Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach27
A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor26
Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps25
SynCoPa: Visualizing Connectivity Paths and Synapses Over Detailed Morphologies24
Unsupervised method for representation transfer from one brain to another24
Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies23
Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN23
Erratum: Mapping and validating a point neuron model on Intel's neuromorphic hardware Loihi22
A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons21
Correction: Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression21
Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression20
Multi-threshold image segmentation for melanoma based on Kapur’s entropy using enhanced ant colony optimization19
Tracking axon initial segment plasticity using high-density microelectrode arrays: A computational study19
Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks19
Analyzing Complex Problem Solving by Dynamic Brain Networks19
Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study18
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients18
Light-weight neural network for intra-voxel structure analysis18
QuNex—An integrative platform for reproducible neuroimaging analytics18
Alternative patterns of deep brain stimulation in neurologic and neuropsychiatric disorders18
BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures17
Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on “Frontiers in Neuroinformatics”17
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub17
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute17
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models17
NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use16
A review of risk concepts and models for predicting the risk of primary stroke16
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks15
Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation15
Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps15
Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation15
Super-resolution microscopy and deep learning methods: what can they bring to neuroscience: from neuron to 3D spine segmentation15
Corrigendum: Mapping and validating a point neuron model on intel's neuromorphic hardware Loihi14
Multi-omics integration reveals a six-malignant cell maker gene signature for predicting prognosis in high-risk neuroblastoma14
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI14
Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning14
EpiBOX: An Automated Platform for Long-Term Biosignal Collection14
Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study14
A systematic comparison of deep learning methods for EEG time series analysis14
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint13
Editorial: Addressing large scale computing challenges in neuroscience: current advances and future directions13
PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks13
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data13
ConGen—A Simulator-Agnostic Visual Language for Definition and Generation of Connectivity in Large and Multiscale Neural Networks13
Long-range temporal correlations in resting state alpha oscillations in major depressive disorder and obsessive-compulsive disorder13
SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation12
STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale12
Enhanced Performance by Interpretable Low-Frequency Electroencephalogram Oscillations in the Machine Learning-Based Diagnosis of Post-traumatic Stress Disorder12
Discovering optimal features for neuron-type identification from extracellular recordings12
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia12
Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus12
Contrastive self-supervised learning for neurodegenerative disorder classification12
Events in context—The HED framework for the study of brain, experience and behavior12
Machine learning reveals interhemispheric somatosensory coherence as indicator of anesthetic depth12
Time-Frequency Representations of Brain Oscillations: Which One Is Better?12
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks12
Editorial: Weakly supervised deep learning-based methods for brain image analysis12
Brain-Computer Interface using neural network and temporal-spectral features11
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM11
Power spectral analysis of voltage-gated channels in neurons11
Investigating cortical complexity and connectivity in rats with schizophrenia11
Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals11
Brain structural alterations in young girls with Rett syndrome: A voxel-based morphometry and tract-based spatial statistics study11
RealNeuralNetworks.jl: An Integrated Julia Package for Skeletonization, Morphological Analysis, and Synaptic Connectivity Analysis of Terabyte-Scale 3D Neural Segmentations10
Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study10
PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS10
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset10
Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning10
Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism10
A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography10
Can micro-expressions be used as a biomarker for autism spectrum disorder?9
Editorial: Reproducible analysis in neuroscience9
Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis9
Neuroimaging article reexecution and reproduction assessment system9
Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources9
Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks9
Multiscale co-simulation design pattern for neuroscience applications9
Explainable artificial intelligence based on feature optimization for age at onset prediction of spinocerebellar ataxia type 38
Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface8
EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis8
Editorial: Recent applications of noninvasive physiological signals and artificial intelligence8
Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series8
Editorial: Physical neuromorphic computing and its industrial applications8
FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research8
Efficient simulation of neural development using shared memory parallelization8
A canonical polyadic tensor basis for fast Bayesian estimation of multi-subject brain activation patterns8
Software and pipelines for registration and analyses of rodent brain image data in reference atlas space8
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models8
Progressive 3D biomedical image registration network based on deep self-calibration8
Neural simulation pipeline: Enabling container-based simulations on-premise and in public clouds8
BIDScoin: A User-Friendly Application to Convert Source Data to Brain Imaging Data Structure7
Quantifying evoked responses through information-theoretical measures7
Brain subnetworks most sensitive to alterations of functional connectivity in Schizophrenia: a data-driven approach7
Identifying Boys With Autism Spectrum Disorder Based on Whole-Brain Resting-State Interregional Functional Connections Using a Boruta-Based Support Vector Machine Approach7
Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection7
Novel Hybrid Brain-Computer Interface for Virtual Reality Applications Using Steady-State Visual-Evoked Potential-Based Brain–Computer Interface and Electrooculogram-Based Eye Tracking for Increased I7
Sensitivity analysis of a mathematical model of Alzheimer's disease progression unveils important causal pathways7
Improving EEG classification of alcoholic and control subjects using DWT-CNN-BiGRU with various noise filtering techniques7
Assessing the Reliability of Template-Based Clustering for Tractography in Healthy Human Adults7
Large language models can extract metadata for annotation of human neuroimaging publications7
A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography Data7
Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury7
Enhancing brain tumor detection in MRI with a rotation invariant Vision Transformer7
Editorial: Bringing together data- and knowledge-driven solutions for a better understanding and effective diagnostics of neurological disorders7
The ROSMAP project: aging and neurodegenerative diseases through omic sciences7
A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China7
Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST7
Differential processing of intrinsic vs. extrinsic coordinates in wrist movement: connectivity and chronometry perspectives6
Multi illumination color constancy based on multi-scale supervision and single-scale estimation cascade convolution neural network6
Modernizing the NEURON Simulator for Sustainability, Portability, and Performance6
Motor imagery-based brain-computer interfaces: an exploration of multiclass motor imagery-based control for Emotiv EPOC X6
suMRak: a multi-tool solution for preclinical brain MRI data analysis6
A System-on-Chip Based Hybrid Neuromorphic Compute Node Architecture for Reproducible Hyper-Real-Time Simulations of Spiking Neural Networks6
Comparing the Performance of Two Radiomic Models to Predict Progression and Progression Speed of White Matter Hyperintensities6
Panama: An Open-Source Educational App for Ion Channel Biophysics Simulation6
SparNet: A Convolutional Neural Network for EEG Space-Frequency Feature Learning and Depression Discrimination6
Single Image-Based Vignetting Correction for Improving the Consistency of Neural Activity Analysis in 2-Photon Functional Microscopy6
A generalized deep learning network for fractional anisotropy reconstruction: Application to epilepsy and multiple sclerosis6
Extended Invariant Information Clustering Is Effective for Leave-One-Site-Out Cross-Validation in Resting State Functional Connectivity Modeling6
A Robust Modular Automated Neuroimaging Pipeline for Model Inputs to TheVirtualBrain6
Improving the detection of sleep slow oscillations in electroencephalographic data6
Functional MRI study of feedback-based reinforcement learning in depression6
M3: using mask-attention and multi-scale for multi-modal brain MRI classification6
Evaluation of an English language phoneme-based imagined speech brain computer interface with low-cost electroencephalography6
An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms6
Early detection of mild cognitive impairment through neuropsychological tests in population screenings: a decision support system integrating ontologies and machine learning5
Modeling Neurodegeneration in silico With Deep Learning5
Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements5
The image and data archive at the laboratory of neuro imaging5
Identifying natural inhibitors against FUS protein in dementia through machine learning, molecular docking, and dynamics simulation5
A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics5
Editorial: Brain Modeling of Neurogenerative Disorders5
Efficient federated learning for distributed neuroimaging data5
TReC: Transferred ResNet and CBAM for Detecting Brain Diseases5
The Case for Optimized Edge-Centric Tractography at Scale5
Effects of individualized brain anatomies and EEG electrode positions on inferred activity of the primary auditory cortex5
Microglial morphometric analysis: so many options, so little consistency5
Domain adaptation for EEG-based, cross-subject epileptic seizure prediction5
BrainQuake: An Open-Source Python Toolbox for the Stereoelectroencephalography Spatiotemporal Analysis5
Artificial intelligence role in advancement of human brain connectome studies5
Test-retest reliability of peak location in the sensorimotor network of resting state fMRI for potential rTMS targets5
Brain MRI sequence and view plane identification using deep learning5
Enhancing human activity recognition for the elderly and individuals with disabilities through optimized Internet-of-Things and artificial intelligence integration with advanced neural networks5
Non-stationary neural signal to image conversion framework for image-based deep learning algorithms4
A Spiking Neural Network Builder for Systematic Data-to-Model Workflow4
Exploring white matter dynamics and morphology through interactive numerical phantoms: the White Matter Generator4
DR-IIXRN : Detection Algorithm of Diabetic Retinopathy Based on Deep Ensemble Learning and Attention Mechanism4
LaminaRGeneVis: A Tool to Visualize Gene Expression Across the Laminar Architecture of the Human Neocortex4
Intradialytic hypotension prediction using covariance matrix-driven whale optimizer with orthogonal structure-assisted extreme learning machine4
Review of Generative Adversarial Networks in mono- and cross-modal biomedical image registration4
Editorial: Advanced EEG analysis techniques for neurological disorders4
Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets4
Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies4
ProbeInterface: A Unified Framework for Probe Handling in Extracellular Electrophysiology4
Reproducible supervised learning-assisted classification of spontaneous synaptic waveforms with Eventer4
Mitigating Computer Limitations in Replicating Numerical Simulations of a Neural Network Model With Hodgkin-Huxley-Type Neurons4
Quantitative assessment of neurodevelopmental maturation: a comprehensive systematic literature review of artificial intelligence-based brain age prediction in pediatric populations4
NIDM-Terms: community-based terminology management for improved neuroimaging dataset descriptions and query4
The EBRAINS Hodgkin-Huxley Neuron Builder: An online resource for building data-driven neuron models4
Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait distur4
A Hybrid Deep Learning Method for Early and Late Mild Cognitive Impairment Diagnosis With Incomplete Multimodal Data4
Harmonizing AI governance regulations and neuroinformatics: perspectives on privacy and data sharing4
vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis4
An accessible and versatile deep learning-based sleep stage classifier4
Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset4
LLRHNet: Multiple Lesions Segmentation Using Local-Long Range Features4
Digitoids: a novel computational platform for mimicking oxygen-dependent firing of neurons in vitro4
Commentary: Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch4
The Locare workflow: representing neuroscience data locations as geometric objects in 3D brain atlases4
NeuroWRAP: integrating, validating, and sharing neurodata analysis workflows4
Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs4
Bridging neuroscience and AI: a survey on large language models for neurological signal interpretation4
Neural network system for analyzing statistical factors of patients for predicting the survival of dental implants4
Expected affine: A registration method for damaged section in serial sections electron microscopy4
NeuroDecodeR: a package for neural decoding in R4
The pursuit of approaches to federate data to accelerate Alzheimer’s disease and related dementia research: GAAIN, DPUK, and ADDI4
Retraction: NeuroSuites: an online platform for running neuroscience, statistical, and machine learning tools3
Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder3
Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques3
An enhanced ant colony optimizer with Cauchy-Gaussian fusion and novel movement strategy for multi-threshold COVID-19 X-ray image segmentation3
Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure3
JUN and PDGFRA as Crucial Candidate Genes for Childhood Autism Spectrum Disorder3
Harmonizing data on correlates of sleep in children within and across neurodevelopmental disorders: lessons learned from an Ontario Brain Institute cross-program collaboration3
In silico analyses of the involvement of GPR55, CB1R and TRPV1: response to THC, contribution to temporal lobe epilepsy, structural modeling and updated evolution3
A scoping review of mathematical models covering Alzheimer's disease progression3
An optimized framework for processing multicentric polysomnographic data incorporating expert human oversight3
On the Minimal Amount of EEG Data Required for Learning Distinctive Human Features for Task-Dependent Biometric Applications3
Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification3
Fireworks explosion boosted Harris Hawks optimization for numerical optimization: Case of classifying the severity of COVID-193
Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors3
Establishing a nomogram to predict refracture after percutaneous kyphoplasty by logistic regression3
Application value of a deep learning method based on a 3D V-Net convolutional neural network in the recognition and segmentation of the auditory ossicles3
VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data3
Optimizing neuroscience data management by combining REDCap, BIDS and SQLite: a case study in Deep Brain Stimulation3
Modeling Brain Volume Using Deep Learning-Based Physical Activity Features in Patients With Dementia3
Novel methods for elucidating modality importance in multimodal electrophysiology classifiers3
Comparing feature selection and machine learning approaches for predicting CYP2D6 methylation from genetic variation3
A Programmable Ontology Encompassing the Functional Logic of the Drosophila Brain3
Automatic segmentation of hemorrhagic transformation on follow-up non-contrast CT after acute ischemic stroke3
A Waveform-Independent Measure of Recurrent Neural Activity3
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