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 2021-07-01 to 2025-07-01.)
ArticleCitations
A Simulation Toolkit for Testing the Sensitivity and Accuracy of Corticometry Pipelines138
Editorial: Innovative methods for sleep staging using neuroinformatics81
FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network77
The quest to share data74
Intra-V1 functional networks and classification of observed stimuli57
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex46
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction42
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy42
Editorial: Neuroinformatics of large-scale brain modelling36
State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles33
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data32
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques31
A computational model of Alzheimer's disease at the nano, micro, and macroscales29
Deep Neuro-Vision Embedded Architecture for Safety Assessment in Perceptive Advanced Driver Assistance Systems: The Pedestrian Tracking System Use-Case29
A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor28
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database26
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatment26
Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach25
Unsupervised method for representation transfer from one brain to another24
Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps23
Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies23
SynCoPa: Visualizing Connectivity Paths and Synapses Over Detailed Morphologies22
Tracking axon initial segment plasticity using high-density microelectrode arrays: A computational study20
Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN20
Erratum: Mapping and validating a point neuron model on Intel's neuromorphic hardware Loihi20
Analyzing Complex Problem Solving by Dynamic Brain Networks19
Multi-threshold image segmentation for melanoma based on Kapur’s entropy using enhanced ant colony optimization18
Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression17
QuNex—An integrative platform for reproducible neuroimaging analytics17
Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks16
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients16
Alternative patterns of deep brain stimulation in neurologic and neuropsychiatric disorders15
Light-weight neural network for intra-voxel structure analysis15
Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on “Frontiers in Neuroinformatics”15
BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures15
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models15
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute15
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub15
A review of risk concepts and models for predicting the risk of primary stroke14
NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use14
Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study14
Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation14
Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps14
Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation14
Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study14
EpiBOX: An Automated Platform for Long-Term Biosignal Collection14
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks13
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI13
Multi-omics integration reveals a six-malignant cell maker gene signature for predicting prognosis in high-risk neuroblastoma13
Corrigendum: Mapping and validating a point neuron model on intel's neuromorphic hardware Loihi13
Long-range temporal correlations in resting state alpha oscillations in major depressive disorder and obsessive-compulsive disorder12
SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation12
Editorial: Addressing large scale computing challenges in neuroscience: current advances and future directions12
A systematic comparison of deep learning methods for EEG time series analysis12
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data12
Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning12
ConGen—A Simulator-Agnostic Visual Language for Definition and Generation of Connectivity in Large and Multiscale Neural Networks12
Enhanced Performance by Interpretable Low-Frequency Electroencephalogram Oscillations in the Machine Learning-Based Diagnosis of Post-traumatic Stress Disorder11
PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks11
STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale11
Towards Bridging the Gap Between Computational Intelligence and Neuroscience in Brain-Computer Interfaces With a Common Description of Systems and Data11
Machine learning reveals interhemispheric somatosensory coherence as indicator of anesthetic depth11
Discovering optimal features for neuron-type identification from extracellular recordings11
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint11
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks11
Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus10
A Validation of Supervised Deep Learning for Gait Analysis in the Cat10
Time-Frequency Representations of Brain Oscillations: Which One Is Better?10
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia10
Editorial: Weakly supervised deep learning-based methods for brain image analysis10
Contrastive self-supervised learning for neurodegenerative disorder classification10
Events in context—The HED framework for the study of brain, experience and behavior10
Investigating cortical complexity and connectivity in rats with schizophrenia9
Brain-Computer Interface using neural network and temporal-spectral features9
Brain structural alterations in young girls with Rett syndrome: A voxel-based morphometry and tract-based spatial statistics study9
Multiscale co-simulation design pattern for neuroscience applications9
A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography9
Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals9
MIIND : A Model-Agnostic Simulator of Neural Populations9
RealNeuralNetworks.jl: An Integrated Julia Package for Skeletonization, Morphological Analysis, and Synaptic Connectivity Analysis of Terabyte-Scale 3D Neural Segmentations9
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM9
Power spectral analysis of voltage-gated channels in neurons9
PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS9
Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources9
Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study9
Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface8
Can micro-expressions be used as a biomarker for autism spectrum disorder?8
Editorial: Physical neuromorphic computing and its industrial applications8
Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism8
Neuroimaging article reexecution and reproduction assessment system8
Editorial: Reproducible analysis in neuroscience8
Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning8
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset8
Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks8
Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis7
FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research7
Efficient simulation of neural development using shared memory parallelization7
Estimation of Emotional Arousal Changes of a Group of Individuals During Movie Screening Using Steady-State Visual-Evoked Potential7
Neural simulation pipeline: Enabling container-based simulations on-premise and in public clouds7
Explainable artificial intelligence based on feature optimization for age at onset prediction of spinocerebellar ataxia type 37
Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series7
Editorial: Recent applications of noninvasive physiological signals and artificial intelligence7
Progressive 3D biomedical image registration network based on deep self-calibration7
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models7
EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis7
Identifying Boys With Autism Spectrum Disorder Based on Whole-Brain Resting-State Interregional Functional Connections Using a Boruta-Based Support Vector Machine Approach7
A canonical polyadic tensor basis for fast Bayesian estimation of multi-subject brain activation patterns7
A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography Data7
Differential processing of intrinsic vs. extrinsic coordinates in wrist movement: connectivity and chronometry perspectives6
SparNet: A Convolutional Neural Network for EEG Space-Frequency Feature Learning and Depression Discrimination6
Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection6
Assessing the Reliability of Template-Based Clustering for Tractography in Healthy Human Adults6
Enhancing brain tumor detection in MRI with a rotation invariant Vision Transformer6
Multi illumination color constancy based on multi-scale supervision and single-scale estimation cascade convolution neural network6
Improving the detection of sleep slow oscillations in electroencephalographic data6
BIDScoin: A User-Friendly Application to Convert Source Data to Brain Imaging Data Structure6
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
Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury6
Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST6
Brain subnetworks most sensitive to alterations of functional connectivity in Schizophrenia: a data-driven approach6
A Robust Modular Automated Neuroimaging Pipeline for Model Inputs to TheVirtualBrain6
Quantifying evoked responses through information-theoretical measures6
The ROSMAP project: aging and neurodegenerative diseases through omic sciences6
Editorial: Bringing together data- and knowledge-driven solutions for a better understanding and effective diagnostics of neurological disorders6
A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China6
Panama: An Open-Source Educational App for Ion Channel Biophysics Simulation6
M3: using mask-attention and multi-scale for multi-modal brain MRI classification5
Evaluation of an English language phoneme-based imagined speech brain computer interface with low-cost electroencephalography5
Comparing the Performance of Two Radiomic Models to Predict Progression and Progression Speed of White Matter Hyperintensities5
Test-retest reliability of peak location in the sensorimotor network of resting state fMRI for potential rTMS targets5
Modeling Neurodegeneration in silico With Deep Learning5
Artificial intelligence role in advancement of human brain connectome studies5
Extended Invariant Information Clustering Is Effective for Leave-One-Site-Out Cross-Validation in Resting State Functional Connectivity Modeling5
Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism5
suMRak: a multi-tool solution for preclinical brain MRI data analysis5
A System-on-Chip Based Hybrid Neuromorphic Compute Node Architecture for Reproducible Hyper-Real-Time Simulations of Spiking Neural Networks5
Modernizing the NEURON Simulator for Sustainability, Portability, and Performance5
BrainQuake: An Open-Source Python Toolbox for the Stereoelectroencephalography Spatiotemporal Analysis5
TReC: Transferred ResNet and CBAM for Detecting Brain Diseases5
Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements5
A generalized deep learning network for fractional anisotropy reconstruction: Application to epilepsy and multiple sclerosis5
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
Functional MRI study of feedback-based reinforcement learning in depression5
An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms5
The image and data archive at the laboratory of neuro imaging5
Efficient federated learning for distributed neuroimaging data5
The Case for Optimized Edge-Centric Tractography at Scale5
Single Image-Based Vignetting Correction for Improving the Consistency of Neural Activity Analysis in 2-Photon Functional Microscopy5
Editorial: Brain Modeling of Neurogenerative Disorders4
Identifying natural inhibitors against FUS protein in dementia through machine learning, molecular docking, and dynamics simulation4
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
Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset4
Neural network system for analyzing statistical factors of patients for predicting the survival of dental implants4
NeuroWRAP: integrating, validating, and sharing neurodata analysis workflows4
Non-stationary neural signal to image conversion framework for image-based deep learning algorithms4
Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies4
Effects of individualized brain anatomies and EEG electrode positions on inferred activity of the primary auditory cortex4
Medical Image Interpolation Using Recurrent Type-2 Fuzzy Neural Network4
Enhancing human activity recognition for the elderly and individuals with disabilities through optimized Internet-of-Things and artificial intelligence integration with advanced neural networks4
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
LaminaRGeneVis: A Tool to Visualize Gene Expression Across the Laminar Architecture of the Human Neocortex4
Commentary: Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch4
Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets4
Microglial morphometric analysis: so many options, so little consistency4
A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics4
Domain adaptation for EEG-based, cross-subject epileptic seizure prediction4
ProbeInterface: A Unified Framework for Probe Handling in Extracellular Electrophysiology4
vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis4
The EBRAINS Hodgkin-Huxley Neuron Builder: An online resource for building data-driven neuron models4
Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies4
Intradialytic hypotension prediction using covariance matrix-driven whale optimizer with orthogonal structure-assisted extreme learning machine3
NIDM-Terms: community-based terminology management for improved neuroimaging dataset descriptions and query3
Modeling Brain Volume Using Deep Learning-Based Physical Activity Features in Patients With Dementia3
Quantitative assessment of neurodevelopmental maturation: a comprehensive systematic literature review of artificial intelligence-based brain age prediction in pediatric populations3
Review of Generative Adversarial Networks in mono- and cross-modal biomedical image registration3
Editorial: Advanced EEG analysis techniques for neurological disorders3
Harmonizing data on correlates of sleep in children within and across neurodevelopmental disorders: lessons learned from an Ontario Brain Institute cross-program collaboration3
Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors3
Fireworks explosion boosted Harris Hawks optimization for numerical optimization: Case of classifying the severity of COVID-193
Expected affine: A registration method for damaged section in serial sections electron microscopy3
An accessible and versatile deep learning-based sleep stage classifier3
Comparing feature selection and machine learning approaches for predicting CYP2D6 methylation from genetic variation3
The pursuit of approaches to federate data to accelerate Alzheimer’s disease and related dementia research: GAAIN, DPUK, and ADDI3
Mitigating Computer Limitations in Replicating Numerical Simulations of a Neural Network Model With Hodgkin-Huxley-Type Neurons3
Reproducible supervised learning-assisted classification of spontaneous synaptic waveforms with Eventer3
Bridging neuroscience and AI: a survey on large language models for neurological signal interpretation3
Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques3
The Locare workflow: representing neuroscience data locations as geometric objects in 3D brain atlases3
On the Minimal Amount of EEG Data Required for Learning Distinctive Human Features for Task-Dependent Biometric Applications3
An enhanced ant colony optimizer with Cauchy-Gaussian fusion and novel movement strategy for multi-threshold COVID-19 X-ray image segmentation3
Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs3
NeuroDecodeR: a package for neural decoding in R3
Novel methods for elucidating modality importance in multimodal electrophysiology classifiers3
Harmonizing AI governance regulations and neuroinformatics: perspectives on privacy and data sharing3
DR-IIXRN : Detection Algorithm of Diabetic Retinopathy Based on Deep Ensemble Learning and Attention Mechanism3
Exploring white matter dynamics and morphology through interactive numerical phantoms: the White Matter Generator3
LLRHNet: Multiple Lesions Segmentation Using Local-Long Range Features3
A Spiking Neural Network Builder for Systematic Data-to-Model Workflow3
Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification3
A Hybrid Deep Learning Method for Early and Late Mild Cognitive Impairment Diagnosis With Incomplete Multimodal Data3
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