Frontiers in Neuroinformatics

Papers
(The median citation count of Frontiers in Neuroinformatics is 2. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
A Simulation Toolkit for Testing the Sensitivity and Accuracy of Corticometry Pipelines124
Editorial: Innovative methods for sleep staging using neuroinformatics76
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex68
The quest to share data67
Intra-V1 functional networks and classification of observed stimuli52
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction41
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy39
FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network38
Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach37
Editorial: Neuroinformatics of large-scale brain modelling37
State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles36
A computational model of Alzheimer's disease at the nano, micro, and macroscales32
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database31
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques29
Deep Neuro-Vision Embedded Architecture for Safety Assessment in Perceptive Advanced Driver Assistance Systems: The Pedestrian Tracking System Use-Case28
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatment27
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data26
A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor25
Unsupervised method for representation transfer from one brain to another24
Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression23
Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies22
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 Networks22
QuNex—An integrative platform for reproducible neuroimaging analytics21
Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps20
SynCoPa: Visualizing Connectivity Paths and Synapses Over Detailed Morphologies20
Tracking axon initial segment plasticity using high-density microelectrode arrays: A computational study18
Analyzing Complex Problem Solving by Dynamic Brain Networks18
Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN18
Erratum: Mapping and validating a point neuron model on Intel's neuromorphic hardware Loihi18
A review of risk concepts and models for predicting the risk of primary stroke16
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub15
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients15
Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on “Frontiers in Neuroinformatics”14
BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures14
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute14
Light-weight neural network for intra-voxel structure analysis14
Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation13
Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps13
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models13
Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation13
Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study13
Alternative patterns of deep brain stimulation in neurologic and neuropsychiatric disorders13
NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use13
EpiBOX: An Automated Platform for Long-Term Biosignal Collection13
Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning12
A systematic comparison of deep learning methods for EEG time series analysis12
Corrigendum: Mapping and validating a point neuron model on intel's neuromorphic hardware Loihi12
Editorial: Addressing large scale computing challenges in neuroscience: current advances and future directions12
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks12
Multi-omics integration reveals a six-malignant cell maker gene signature for predicting prognosis in high-risk neuroblastoma12
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI12
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks11
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data11
Machine learning reveals interhemispheric somatosensory coherence as indicator of anesthetic depth11
ConGen—A Simulator-Agnostic Visual Language for Definition and Generation of Connectivity in Large and Multiscale Neural Networks11
SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation11
PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks11
Long-range temporal correlations in resting state alpha oscillations in major depressive disorder and obsessive-compulsive disorder11
STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale10
Time-Frequency Representations of Brain Oscillations: Which One Is Better?10
Discovering optimal features for neuron-type identification from extracellular recordings10
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint10
Towards Bridging the Gap Between Computational Intelligence and Neuroscience in Brain-Computer Interfaces With a Common Description of Systems and Data10
Contrastive self-supervised learning for neurodegenerative disorder classification10
Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus9
Events in context—The HED framework for the study of brain, experience and behavior9
Editorial: Weakly supervised deep learning-based methods for brain image analysis9
Enhanced Performance by Interpretable Low-Frequency Electroencephalogram Oscillations in the Machine Learning-Based Diagnosis of Post-traumatic Stress Disorder9
A Validation of Supervised Deep Learning for Gait Analysis in the Cat9
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM9
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia9
A Quick and Easy Way to Estimate Entropy and Mutual Information for Neuroscience9
Investigating cortical complexity and connectivity in rats with schizophrenia9
Brain-Computer Interface using neural network and temporal-spectral features8
Power spectral analysis of voltage-gated channels in neurons8
Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals8
RealNeuralNetworks.jl: An Integrated Julia Package for Skeletonization, Morphological Analysis, and Synaptic Connectivity Analysis of Terabyte-Scale 3D Neural Segmentations8
Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources8
A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography8
PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS8
Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study8
Can micro-expressions be used as a biomarker for autism spectrum disorder?8
MIIND : A Model-Agnostic Simulator of Neural Populations8
Brain structural alterations in young girls with Rett syndrome: A voxel-based morphometry and tract-based spatial statistics study8
Multiscale co-simulation design pattern for neuroscience applications8
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset8
Explainable artificial intelligence based on feature optimization for age at onset prediction of spinocerebellar ataxia type 37
Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism7
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models7
Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface7
Identifying Boys With Autism Spectrum Disorder Based on Whole-Brain Resting-State Interregional Functional Connections Using a Boruta-Based Support Vector Machine Approach7
Editorial: Recent applications of noninvasive physiological signals and artificial intelligence7
Editorial: Physical neuromorphic computing and its industrial applications7
Neuroimaging article reexecution and reproduction assessment system7
Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks7
Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis7
Neural simulation pipeline: Enabling container-based simulations on-premise and in public clouds7
Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection7
A canonical polyadic tensor basis for fast Bayesian estimation of multi-subject brain activation patterns7
Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series7
Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning7
Editorial: Reproducible analysis in neuroscience7
FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research7
EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis7
Efficient simulation of neural development using shared memory parallelization7
Progressive 3D biomedical image registration network based on deep self-calibration6
A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography Data6
Editorial: Bringing together data- and knowledge-driven solutions for a better understanding and effective diagnostics of neurological disorders6
Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST6
A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China6
Brain subnetworks most sensitive to alterations of functional connectivity in Schizophrenia: a data-driven approach6
Prediction of Neural Diameter From Morphology to Enable Accurate Simulation6
The ROSMAP project: aging and neurodegenerative diseases through omic sciences6
Estimation of Emotional Arousal Changes of a Group of Individuals During Movie Screening Using Steady-State Visual-Evoked Potential6
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 I6
Enhancing brain tumor detection in MRI with a rotation invariant Vision Transformer6
Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury6
FlywheelTools: Data Curation and Manipulation on the Flywheel Platform6
CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes6
Assessing the Reliability of Template-Based Clustering for Tractography in Healthy Human Adults6
BIDScoin: A User-Friendly Application to Convert Source Data to Brain Imaging Data Structure6
Panama: An Open-Source Educational App for Ion Channel Biophysics Simulation6
SparNet: A Convolutional Neural Network for EEG Space-Frequency Feature Learning and Depression Discrimination5
Functional MRI study of feedback-based reinforcement learning in depression5
suMRak: a multi-tool solution for preclinical brain MRI data analysis5
Single Image-Based Vignetting Correction for Improving the Consistency of Neural Activity Analysis in 2-Photon Functional Microscopy5
Test-retest reliability of peak location in the sensorimotor network of resting state fMRI for potential rTMS targets5
Multi illumination color constancy based on multi-scale supervision and single-scale estimation cascade convolution neural network5
Differential processing of intrinsic vs. extrinsic coordinates in wrist movement: connectivity and chronometry perspectives5
Quantifying evoked responses through information-theoretical measures5
Evaluation of an English language phoneme-based imagined speech brain computer interface with low-cost electroencephalography5
M3: using mask-attention and multi-scale for multi-modal brain MRI classification5
An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms5
Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism5
A System-on-Chip Based Hybrid Neuromorphic Compute Node Architecture for Reproducible Hyper-Real-Time Simulations of Spiking Neural Networks5
Improving the detection of sleep slow oscillations in electroencephalographic data5
Editorial: Bio-Inspired Physiological Signal(s) and Medical Image(s) Neural Processing Systems Based on Deep Learning and Mathematical Modeling for Implementing Bio-Engineering Applications in Medical5
Comparing the Performance of Two Radiomic Models to Predict Progression and Progression Speed of White Matter Hyperintensities5
A generalized deep learning network for fractional anisotropy reconstruction: Application to epilepsy and multiple sclerosis5
Modernizing the NEURON Simulator for Sustainability, Portability, and Performance5
A Robust Modular Automated Neuroimaging Pipeline for Model Inputs to TheVirtualBrain5
Modeling Neurodegeneration in silico With Deep Learning4
BrainQuake: An Open-Source Python Toolbox for the Stereoelectroencephalography Spatiotemporal Analysis4
Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements4
Domain adaptation for EEG-based, cross-subject epileptic seizure prediction4
Early detection of mild cognitive impairment through neuropsychological tests in population screenings: a decision support system integrating ontologies and machine learning4
Neural network system for analyzing statistical factors of patients for predicting the survival of dental implants4
Identifying natural inhibitors against FUS protein in dementia through machine learning, molecular docking, and dynamics simulation4
Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies4
The image and data archive at the laboratory of neuro imaging4
Extended Invariant Information Clustering Is Effective for Leave-One-Site-Out Cross-Validation in Resting State Functional Connectivity Modeling4
Development and Validation of a Semi-Automated, Preclinical, MRI-Template Based PET Image Data Analysis Tool for Rodents4
Efficient federated learning for distributed neuroimaging data4
Enhancing human activity recognition for the elderly and individuals with disabilities through optimized Internet-of-Things and artificial intelligence integration with advanced neural networks4
Editorial: Brain Modeling of Neurogenerative Disorders4
ProbeInterface: A Unified Framework for Probe Handling in Extracellular Electrophysiology4
Effects of individualized brain anatomies and EEG electrode positions on inferred activity of the primary auditory cortex4
TReC: Transferred ResNet and CBAM for Detecting Brain Diseases4
Artificial intelligence role in advancement of human brain connectome studies4
The Case for Optimized Edge-Centric Tractography at Scale4
Medical Image Interpolation Using Recurrent Type-2 Fuzzy Neural Network4
Microglial morphometric analysis: so many options, so little consistency4
3D Segmentation of Perivascular Spaces on T1-Weighted 3 Tesla MR Images With a Convolutional Autoencoder and a U-Shaped Neural Network4
A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics4
Brain MRI sequence and view plane identification using deep learning4
NIDM-Terms: community-based terminology management for improved neuroimaging dataset descriptions and query3
Non-stationary neural signal to image conversion framework for image-based deep learning algorithms3
Commentary: Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch3
LaminaRGeneVis: A Tool to Visualize Gene Expression Across the Laminar Architecture of the Human Neocortex3
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 distur3
LLRHNet: Multiple Lesions Segmentation Using Local-Long Range Features3
Mitigating Computer Limitations in Replicating Numerical Simulations of a Neural Network Model With Hodgkin-Huxley-Type Neurons3
Intradialytic hypotension prediction using covariance matrix-driven whale optimizer with orthogonal structure-assisted extreme learning machine3
DarkASDNet: Classification of ASD on Functional MRI Using Deep Neural Network3
Exploring white matter dynamics and morphology through interactive numerical phantoms: the White Matter Generator3
Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs3
Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies3
NeuroWRAP: integrating, validating, and sharing neurodata analysis workflows3
Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets3
Review of Generative Adversarial Networks in mono- and cross-modal biomedical image registration3
Characterizing Network Search Algorithms Developed for Dynamic Causal Modeling3
Reproducible supervised learning-assisted classification of spontaneous synaptic waveforms with Eventer3
On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell3
Harmonizing AI governance regulations and neuroinformatics: perspectives on privacy and data sharing3
An accessible and versatile deep learning-based sleep stage classifier3
The pursuit of approaches to federate data to accelerate Alzheimer’s disease and related dementia research: GAAIN, DPUK, and ADDI3
NeuroDecodeR: a package for neural decoding in R3
Quantitative assessment of neurodevelopmental maturation: a comprehensive systematic literature review of artificial intelligence-based brain age prediction in pediatric populations3
vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis3
Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset3
The EBRAINS Hodgkin-Huxley Neuron Builder: An online resource for building data-driven neuron models3
Expected affine: A registration method for damaged section in serial sections electron microscopy3
The Locare workflow: representing neuroscience data locations as geometric objects in 3D brain atlases3
DR-IIXRN : Detection Algorithm of Diabetic Retinopathy Based on Deep Ensemble Learning and Attention Mechanism3
A Spiking Neural Network Builder for Systematic Data-to-Model Workflow3
A Programmable Ontology Encompassing the Functional Logic of the Drosophila Brain2
Editorial: Image and geometry analysis for brain informatics2
In silico analyses of the involvement of GPR55, CB1R and TRPV1: response to THC, contribution to temporal lobe epilepsy, structural modeling and updated evolution2
On the Minimal Amount of EEG Data Required for Learning Distinctive Human Features for Task-Dependent Biometric Applications2
Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification2
An optimized framework for processing multicentric polysomnographic data incorporating expert human oversight2
Novel methods for elucidating modality importance in multimodal electrophysiology classifiers2
Deep extreme learning machine with knowledge augmentation for EEG seizure signal recognition2
A Probabilistic Atlas of the Pineal Gland in the Standard Space2
Automatic segmentation of hemorrhagic transformation on follow-up non-contrast CT after acute ischemic stroke2
JUN and PDGFRA as Crucial Candidate Genes for Childhood Autism Spectrum Disorder2
Fireworks explosion boosted Harris Hawks optimization for numerical optimization: Case of classifying the severity of COVID-192
NIRS-ICA: A MATLAB Toolbox for Independent Component Analysis Applied in fNIRS Studies2
Optimizing neuroscience data management by combining REDCap, BIDS and SQLite: a case study in Deep Brain Stimulation2
Harmonizing data on correlates of sleep in children within and across neurodevelopmental disorders: lessons learned from an Ontario Brain Institute cross-program collaboration2
Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors2
Comparing feature selection and machine learning approaches for predicting CYP2D6 methylation from genetic variation2
A Hybrid Deep Learning Method for Early and Late Mild Cognitive Impairment Diagnosis With Incomplete Multimodal Data2
Retraction: NeuroSuites: an online platform for running neuroscience, statistical, and machine learning tools2
Influence of the Number of Channels and Classification Algorithm on the Performance Robustness to Electrode Shift in Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces2
Application of a Hermite-based measure of non-Gaussianity to normality tests and independent component analysis2
A Waveform-Independent Measure of Recurrent Neural Activity2
Editorial: APPNING: Animal Population Imaging2
The EBRAINS NeuroFeatureExtract: An Online Resource for the Extraction of Neural Activity Features From Electrophysiological Data2
Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure2
Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder2
Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques2
An enhanced ant colony optimizer with Cauchy-Gaussian fusion and novel movement strategy for multi-threshold COVID-19 X-ray image segmentation2
Modeling Brain Volume Using Deep Learning-Based Physical Activity Features in Patients With Dementia2
Application value of a deep learning method based on a 3D V-Net convolutional neural network in the recognition and segmentation of the auditory ossicles2
Counterfactual Explanation of Brain Activity Classifiers Using Image-To-Image Transfer by Generative Adversarial Network2
Alteration of brain nuclei in obese children with and without Prader-Willi syndrome2
Editorial: Protecting privacy in neuroimaging analysis: balancing data sharing and privacy preservation2
Reproducible brain PET data analysis: easier said than done2
A scoping review of mathematical models covering Alzheimer's disease progression2
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