Frontiers in Neuroinformatics

Papers
(The median citation count of Frontiers in Neuroinformatics is 4. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy103
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex98
Editorial: Innovative methods for sleep staging using neuroinformatics83
The quest to share data73
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
Intra-V1 functional networks and classification of observed stimuli46
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction42
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database39
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatment38
A computational model of Alzheimer's disease at the nano, micro, and macroscales37
Editorial: Neuroinformatics of large-scale brain modelling34
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques32
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data30
State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles28
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
Unsupervised method for representation transfer from one brain to another26
Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies26
Erratum: Mapping and validating a point neuron model on Intel's neuromorphic hardware Loihi24
A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons23
Correction: Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression21
Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks21
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 depression20
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
QuNex—An integrative platform for reproducible neuroimaging analytics19
Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study18
NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use18
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 architectures18
A review of risk concepts and models for predicting the risk of primary stroke18
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub18
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients18
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute17
Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on “Frontiers in Neuroinformatics”17
Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation16
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models16
Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation16
Super-resolution microscopy and deep learning methods: what can they bring to neuroscience: from neuron to 3D spine segmentation16
Light-weight neural network for intra-voxel structure analysis16
Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study15
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI15
Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps15
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks15
Corrigendum: Mapping and validating a point neuron model on intel's neuromorphic hardware Loihi15
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint14
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data14
Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning14
Long-range temporal correlations in resting state alpha oscillations in major depressive disorder and obsessive-compulsive disorder14
Editorial: Addressing large scale computing challenges in neuroscience: current advances and future directions14
Multi-omics integration reveals a six-malignant cell maker gene signature for predicting prognosis in high-risk neuroblastoma14
A systematic comparison of deep learning methods for EEG time series analysis14
SynSpine: an automated workflow for the generation of longitudinal spinal cord synthetic MRI data14
EpiBOX: An Automated Platform for Long-Term Biosignal Collection14
Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus13
STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale13
Contrastive self-supervised learning for neurodegenerative disorder classification13
Enhanced Performance by Interpretable Low-Frequency Electroencephalogram Oscillations in the Machine Learning-Based Diagnosis of Post-traumatic Stress Disorder13
ConGen—A Simulator-Agnostic Visual Language for Definition and Generation of Connectivity in Large and Multiscale Neural Networks13
SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation13
Machine learning reveals interhemispheric somatosensory coherence as indicator of anesthetic depth13
Time-Frequency Representations of Brain Oscillations: Which One Is Better?12
Editorial: Weakly supervised deep learning-based methods for brain image analysis12
PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS12
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia12
Brain-Computer Interface using neural network and temporal-spectral features12
Events in context—The HED framework for the study of brain, experience and behavior12
Discovering optimal features for neuron-type identification from extracellular recordings12
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks12
Power spectral analysis of voltage-gated channels in neurons12
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
Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study11
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM11
RealNeuralNetworks.jl: An Integrated Julia Package for Skeletonization, Morphological Analysis, and Synaptic Connectivity Analysis of Terabyte-Scale 3D Neural Segmentations11
Editorial: Reproducible analysis in neuroscience10
Neuroimaging article reexecution and reproduction assessment system10
Multiscale co-simulation design pattern for neuroscience applications10
Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources10
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
Can micro-expressions be used as a biomarker for autism spectrum disorder?9
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset9
Explainable artificial intelligence based on feature optimization for age at onset prediction of spinocerebellar ataxia type 39
Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks9
Software and pipelines for registration and analyses of rodent brain image data in reference atlas space9
Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning9
Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series8
FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research8
Progressive 3D biomedical image registration network based on deep self-calibration8
Large language models can extract metadata for annotation of human neuroimaging publications8
Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection8
EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis8
Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface8
Neural simulation pipeline: Enabling container-based simulations on-premise and in public clouds8
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
Editorial: Physical neuromorphic computing and its industrial applications8
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models8
Efficient simulation of neural development using shared memory parallelization8
A canonical polyadic tensor basis for fast Bayesian estimation of multi-subject brain activation patterns8
Identifying Boys With Autism Spectrum Disorder Based on Whole-Brain Resting-State Interregional Functional Connections Using a Boruta-Based Support Vector Machine Approach8
Editorial: Recent applications of noninvasive physiological signals and artificial intelligence8
Improving the detection of sleep slow oscillations in electroencephalographic data7
Quantifying evoked responses through information-theoretical measures7
Editorial: Bringing together data- and knowledge-driven solutions for a better understanding and effective diagnostics of neurological disorders7
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
Panama: An Open-Source Educational App for Ion Channel Biophysics Simulation7
Multi illumination color constancy based on multi-scale supervision and single-scale estimation cascade convolution neural network7
Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST7
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
Brain subnetworks most sensitive to alterations of functional connectivity in Schizophrenia: a data-driven approach7
Sensitivity analysis of a mathematical model of Alzheimer's disease progression unveils important causal pathways7
Differential processing of intrinsic vs. extrinsic coordinates in wrist movement: connectivity and chronometry perspectives7
A Robust Modular Automated Neuroimaging Pipeline for Model Inputs to TheVirtualBrain7
Assessing the Reliability of Template-Based Clustering for Tractography in Healthy Human Adults7
A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China7
BIDScoin: A User-Friendly Application to Convert Source Data to Brain Imaging Data Structure7
Improving EEG classification of alcoholic and control subjects using DWT-CNN-BiGRU with various noise filtering techniques7
A System-on-Chip Based Hybrid Neuromorphic Compute Node Architecture for Reproducible Hyper-Real-Time Simulations of Spiking Neural Networks6
Evaluation of an English language phoneme-based imagined speech brain computer interface with low-cost electroencephalography6
Functional MRI study of feedback-based reinforcement learning in depression6
An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms6
The Case for Optimized Edge-Centric Tractography at Scale6
Test-retest reliability of peak location in the sensorimotor network of resting state fMRI for potential rTMS targets6
A generalized deep learning network for fractional anisotropy reconstruction: Application to epilepsy and multiple sclerosis6
SparNet: A Convolutional Neural Network for EEG Space-Frequency Feature Learning and Depression Discrimination6
M3: using mask-attention and multi-scale for multi-modal brain MRI classification6
Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements6
Efficient federated learning for distributed neuroimaging data6
The image and data archive at the laboratory of neuro imaging6
Modernizing the NEURON Simulator for Sustainability, Portability, and Performance6
suMRak: a multi-tool solution for preclinical brain MRI data analysis6
Motor imagery-based brain-computer interfaces: an exploration of multiclass motor imagery-based control for Emotiv EPOC X6
Single Image-Based Vignetting Correction for Improving the Consistency of Neural Activity Analysis in 2-Photon Functional Microscopy6
BrainQuake: An Open-Source Python Toolbox for the Stereoelectroencephalography Spatiotemporal Analysis6
Artificial intelligence role in advancement of human brain connectome studies6
Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets5
vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis5
Early detection of mild cognitive impairment through neuropsychological tests in population screenings: a decision support system integrating ontologies and machine learning5
Identifying natural inhibitors against FUS protein in dementia through machine learning, molecular docking, and dynamics simulation5
Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset5
Neural network system for analyzing statistical factors of patients for predicting the survival of dental implants5
Reproducible supervised learning-assisted classification of spontaneous synaptic waveforms with Eventer5
Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies5
The EBRAINS Hodgkin-Huxley Neuron Builder: An online resource for building data-driven neuron models5
Exploring white matter dynamics and morphology through interactive numerical phantoms: the White Matter Generator5
ProbeInterface: A Unified Framework for Probe Handling in Extracellular Electrophysiology5
Microglial morphometric analysis: so many options, so little consistency5
Brain MRI sequence and view plane identification using deep learning5
A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics5
LaminaRGeneVis: A Tool to Visualize Gene Expression Across the Laminar Architecture of the Human Neocortex5
The pursuit of approaches to federate data to accelerate Alzheimer’s disease and related dementia research: GAAIN, DPUK, and ADDI5
Commentary: Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch5
NeuroWRAP: integrating, validating, and sharing neurodata analysis workflows5
Enhancing human activity recognition for the elderly and individuals with disabilities through optimized Internet-of-Things and artificial intelligence integration with advanced neural networks5
Editorial: Brain Modeling of Neurogenerative Disorders5
Domain adaptation for EEG-based, cross-subject epileptic seizure prediction5
Effects of individualized brain anatomies and EEG electrode positions on inferred activity of the primary auditory cortex5
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 distur5
LLRHNet: Multiple Lesions Segmentation Using Local-Long Range Features5
Digitoids: a novel computational platform for mimicking oxygen-dependent firing of neurons in vitro5
Bridging neuroscience and AI: a survey on large language models for neurological signal interpretation5
On the Minimal Amount of EEG Data Required for Learning Distinctive Human Features for Task-Dependent Biometric Applications4
The Locare workflow: representing neuroscience data locations as geometric objects in 3D brain atlases4
A Hybrid Deep Learning Method for Early and Late Mild Cognitive Impairment Diagnosis With Incomplete Multimodal Data4
Review of Generative Adversarial Networks in mono- and cross-modal biomedical image registration4
Mitigating Computer Limitations in Replicating Numerical Simulations of a Neural Network Model With Hodgkin-Huxley-Type Neurons4
Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors4
Fireworks explosion boosted Harris Hawks optimization for numerical optimization: Case of classifying the severity of COVID-194
NIDM-Terms: community-based terminology management for improved neuroimaging dataset descriptions and query4
Expected affine: A registration method for damaged section in serial sections electron microscopy4
Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification4
NeuroDecodeR: a package for neural decoding in R4
Non-stationary neural signal to image conversion framework for image-based deep learning algorithms4
Comparing feature selection and machine learning approaches for predicting CYP2D6 methylation from genetic variation4
Modeling Brain Volume Using Deep Learning-Based Physical Activity Features in Patients With Dementia4
A Spiking Neural Network Builder for Systematic Data-to-Model Workflow4
An optimized framework for processing multicentric polysomnographic data incorporating expert human oversight4
Intradialytic hypotension prediction using covariance matrix-driven whale optimizer with orthogonal structure-assisted extreme learning machine4
Optimizing neuroscience data management by combining REDCap, BIDS and SQLite: a case study in Deep Brain Stimulation4
Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs4
Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder4
Quantitative assessment of neurodevelopmental maturation: a comprehensive systematic literature review of artificial intelligence-based brain age prediction in pediatric populations4
Editorial: Advanced EEG analysis techniques for neurological disorders4
Novel methods for elucidating modality importance in multimodal electrophysiology classifiers4
An enhanced ant colony optimizer with Cauchy-Gaussian fusion and novel movement strategy for multi-threshold COVID-19 X-ray image segmentation4
Harmonizing AI governance regulations and neuroinformatics: perspectives on privacy and data sharing4
An accessible and versatile deep learning-based sleep stage classifier4
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