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 2021-08-01 to 2025-08-01.)
ArticleCitations
Editorial: Innovative methods for sleep staging using neuroinformatics139
The quest to share data84
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex84
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
Erratum: Mapping and validating a point neuron model on Intel's neuromorphic hardware Loihi26
Tracking axon initial segment plasticity using high-density microelectrode arrays: A computational study26
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
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
SynCoPa: Visualizing Connectivity Paths and Synapses Over Detailed Morphologies21
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
QuNex—An integrative platform for reproducible neuroimaging analytics20
Analyzing Complex Problem Solving by Dynamic Brain Networks18
Light-weight neural network for intra-voxel structure analysis17
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
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
Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps15
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients15
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
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks14
EpiBOX: An Automated Platform for Long-Term Biosignal Collection14
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
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
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
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
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
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
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
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
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
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
Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources9
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models8
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
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
Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis8
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
Progressive 3D biomedical image registration network based on deep self-calibration7
A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography Data7
Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection7
Enhancing brain tumor detection in MRI with a rotation invariant Vision Transformer7
A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China7
Editorial: Bringing together data- and knowledge-driven solutions for a better understanding and effective diagnostics of neurological disorders7
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
Estimation of Emotional Arousal Changes of a Group of Individuals During Movie Screening Using Steady-State Visual-Evoked Potential7
A canonical polyadic tensor basis for fast Bayesian estimation of multi-subject brain activation patterns7
Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury7
BIDScoin: A User-Friendly Application to Convert Source Data to Brain Imaging Data Structure7
Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST7
Efficient simulation of neural development using shared memory parallelization7
The ROSMAP project: aging and neurodegenerative diseases through omic sciences7
Neural simulation pipeline: Enabling container-based simulations on-premise and in public clouds7
Editorial: Physical neuromorphic computing and its industrial applications7
Brain subnetworks most sensitive to alterations of functional connectivity in Schizophrenia: a data-driven approach7
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
suMRak: a multi-tool solution for preclinical brain MRI data analysis6
M3: using mask-attention and multi-scale for multi-modal brain MRI classification6
Multi illumination color constancy based on multi-scale supervision and single-scale estimation cascade convolution neural network6
Panama: An Open-Source Educational App for Ion Channel Biophysics Simulation6
Functional MRI study of feedback-based reinforcement learning in depression6
Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism6
A generalized deep learning network for fractional anisotropy reconstruction: Application to epilepsy and multiple sclerosis6
Differential processing of intrinsic vs. extrinsic coordinates in wrist movement: connectivity and chronometry perspectives6
Quantifying evoked responses through information-theoretical measures6
A Robust Modular Automated Neuroimaging Pipeline for Model Inputs to TheVirtualBrain6
Single Image-Based Vignetting Correction for Improving the Consistency of Neural Activity Analysis in 2-Photon Functional Microscopy6
An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms6
Assessing the Reliability of Template-Based Clustering for Tractography in Healthy Human Adults6
Improving the detection of sleep slow oscillations in electroencephalographic data6
SparNet: A Convolutional Neural Network for EEG Space-Frequency Feature Learning and Depression Discrimination6
Comparing the Performance of Two Radiomic Models to Predict Progression and Progression Speed of White Matter Hyperintensities6
The image and data archive at the laboratory of neuro imaging5
Modernizing the NEURON Simulator for Sustainability, Portability, and Performance5
Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements5
Extended Invariant Information Clustering Is Effective for Leave-One-Site-Out Cross-Validation in Resting State Functional Connectivity Modeling5
The Case for Optimized Edge-Centric Tractography at Scale5
A System-on-Chip Based Hybrid Neuromorphic Compute Node Architecture for Reproducible Hyper-Real-Time Simulations of Spiking Neural Networks5
Efficient federated learning for distributed neuroimaging data5
BrainQuake: An Open-Source Python Toolbox for the Stereoelectroencephalography Spatiotemporal Analysis5
Modeling Neurodegeneration in silico With Deep Learning5
Artificial intelligence role in advancement of human brain connectome studies5
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
Evaluation of an English language phoneme-based imagined speech brain computer interface with low-cost electroencephalography5
Domain adaptation for EEG-based, cross-subject epileptic seizure prediction5
Test-retest reliability of peak location in the sensorimotor network of resting state fMRI for potential rTMS targets5
TReC: Transferred ResNet and CBAM for Detecting Brain Diseases5
Exploring white matter dynamics and morphology through interactive numerical phantoms: the White Matter Generator4
Non-stationary neural signal to image conversion framework for image-based deep learning algorithms4
Neural network system for analyzing statistical factors of patients for predicting the survival of dental implants4
Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets4
vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis4
Enhancing human activity recognition for the elderly and individuals with disabilities through optimized Internet-of-Things and artificial intelligence integration with advanced neural networks4
Identifying natural inhibitors against FUS protein in dementia through machine learning, molecular docking, and dynamics simulation4
Editorial: Brain Modeling of Neurogenerative Disorders4
The pursuit of approaches to federate data to accelerate Alzheimer’s disease and related dementia research: GAAIN, DPUK, and ADDI4
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
Bridging neuroscience and AI: a survey on large language models for neurological signal interpretation4
Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies4
Commentary: Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch4
Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset4
Microglial morphometric analysis: so many options, so little consistency4
Brain MRI sequence and view plane identification using deep learning4
Early detection of mild cognitive impairment through neuropsychological tests in population screenings: a decision support system integrating ontologies and machine learning4
The EBRAINS Hodgkin-Huxley Neuron Builder: An online resource for building data-driven neuron models4
Quantitative assessment of neurodevelopmental maturation: a comprehensive systematic literature review of artificial intelligence-based brain age prediction in pediatric populations4
LLRHNet: Multiple Lesions Segmentation Using Local-Long Range Features4
Review of Generative Adversarial Networks in mono- and cross-modal biomedical image registration4
LaminaRGeneVis: A Tool to Visualize Gene Expression Across the Laminar Architecture of the Human Neocortex4
ProbeInterface: A Unified Framework for Probe Handling in Extracellular Electrophysiology4
Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies4
A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics4
Medical Image Interpolation Using Recurrent Type-2 Fuzzy Neural Network4
Effects of individualized brain anatomies and EEG electrode positions on inferred activity of the primary auditory cortex4
Reproducible supervised learning-assisted classification of spontaneous synaptic waveforms with Eventer4
NeuroWRAP: integrating, validating, and sharing neurodata analysis workflows4
Digitoids: a novel computational platform for mimicking oxygen-dependent firing of neurons in vitro4
A Programmable Ontology Encompassing the Functional Logic of the Drosophila Brain3
Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder3
Optimizing neuroscience data management by combining REDCap, BIDS and SQLite: a case study in Deep Brain Stimulation3
Comparing feature selection and machine learning approaches for predicting CYP2D6 methylation from genetic variation3
Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification3
Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors3
On the Minimal Amount of EEG Data Required for Learning Distinctive Human Features for Task-Dependent Biometric Applications3
Expected affine: A registration method for damaged section in serial sections electron microscopy3
Intradialytic hypotension prediction using covariance matrix-driven whale optimizer with orthogonal structure-assisted extreme learning machine3
A Hybrid Deep Learning Method for Early and Late Mild Cognitive Impairment Diagnosis With Incomplete Multimodal Data3
Harmonizing data on correlates of sleep in children within and across neurodevelopmental disorders: lessons learned from an Ontario Brain Institute cross-program collaboration3
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
A Waveform-Independent Measure of Recurrent Neural Activity3
A Spiking Neural Network Builder for Systematic Data-to-Model Workflow3
Fireworks explosion boosted Harris Hawks optimization for numerical optimization: Case of classifying the severity of COVID-193
An enhanced ant colony optimizer with Cauchy-Gaussian fusion and novel movement strategy for multi-threshold COVID-19 X-ray image segmentation3
Modeling Brain Volume Using Deep Learning-Based Physical Activity Features in Patients With Dementia3
NIDM-Terms: community-based terminology management for improved neuroimaging dataset descriptions and query3
Editorial: Advanced EEG analysis techniques for neurological disorders3
Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs3
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
Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure3
An optimized framework for processing multicentric polysomnographic data incorporating expert human oversight3
Mitigating Computer Limitations in Replicating Numerical Simulations of a Neural Network Model With Hodgkin-Huxley-Type Neurons3
An accessible and versatile deep learning-based sleep stage classifier3
The Locare workflow: representing neuroscience data locations as geometric objects in 3D brain atlases3
NeuroDecodeR: a package for neural decoding in R3
DR-IIXRN : Detection Algorithm of Diabetic Retinopathy Based on Deep Ensemble Learning and Attention Mechanism3
Harmonizing AI governance regulations and neuroinformatics: perspectives on privacy and data sharing3
Novel methods for elucidating modality importance in multimodal electrophysiology classifiers3
Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques3
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