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 2022-05-01 to 2026-05-01.)
ArticleCitations
Editorial: Innovative methods for sleep staging using neuroinformatics117
The quest to share data114
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex111
Intra-V1 functional networks and classification of observed stimuli86
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy65
Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings55
FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network51
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database41
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction41
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques40
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data37
Editorial: Neuroinformatics of large-scale brain modelling36
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatment32
A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor32
State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles31
Unsupervised method for representation transfer from one brain to another30
A computational model of Alzheimer's disease at the nano, micro, and macroscales30
Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies29
Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN28
Erratum: Mapping and validating a point neuron model on Intel's neuromorphic hardware Loihi27
Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression25
Correction: Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression24
Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps24
QuNex—An integrative platform for reproducible neuroimaging analytics24
Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks23
A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons23
Tracking axon initial segment plasticity using high-density microelectrode arrays: A computational study23
Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study22
Multi-threshold image segmentation for melanoma based on Kapur’s entropy using enhanced ant colony optimization22
BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures22
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients21
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub20
NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use20
Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation20
Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on “Frontiers in Neuroinformatics”19
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models19
Light-weight neural network for intra-voxel structure analysis19
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute18
Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation17
Alternative patterns of deep brain stimulation in neurologic and neuropsychiatric disorders17
Super-resolution microscopy and deep learning methods: what can they bring to neuroscience: from neuron to 3D spine segmentation17
A review of risk concepts and models for predicting the risk of primary stroke17
EpiBOX: An Automated Platform for Long-Term Biosignal Collection16
Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning16
Correction: A Physics Informed Neural Network (PINN) framework for fractional order modeling of Alzheimer's disease16
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks16
Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study16
Corrigendum: Mapping and validating a point neuron model on intel's neuromorphic hardware Loihi16
A systematic comparison of deep learning methods for EEG time series analysis15
Long-range temporal correlations in resting state alpha oscillations in major depressive disorder and obsessive-compulsive disorder15
Editorial: Addressing large scale computing challenges in neuroscience: current advances and future directions15
SynSpine: an automated workflow for the generation of longitudinal spinal cord synthetic MRI data15
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data15
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia14
Machine learning reveals interhemispheric somatosensory coherence as indicator of anesthetic depth14
BrainInsights: a comprehensive framework for pre-processing, analysis, and interpretation of neuroimaging data using traditional statistics and machine learning14
Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus14
SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation14
Multi-omics integration reveals a six-malignant cell maker gene signature for predicting prognosis in high-risk neuroblastoma14
STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale13
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks13
Contrastive self-supervised learning for neurodegenerative disorder classification13
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint13
Discovering optimal features for neuron-type identification from extracellular recordings13
Events in context—The HED framework for the study of brain, experience and behavior12
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM12
Brain-Computer Interface using neural network and temporal-spectral features12
Editorial: Weakly supervised deep learning-based methods for brain image analysis12
Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals12
Brain structural alterations in young girls with Rett syndrome: A voxel-based morphometry and tract-based spatial statistics study12
Power spectral analysis of voltage-gated channels in neurons12
PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS12
Investigating cortical complexity and connectivity in rats with schizophrenia12
Multiscale co-simulation design pattern for neuroscience applications11
Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks11
Editorial: Reproducible analysis in neuroscience11
Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources11
Can micro-expressions be used as a biomarker for autism spectrum disorder?11
Neuroimaging article reexecution and reproduction assessment system11
Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning10
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset10
Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis10
Explainable artificial intelligence based on feature optimization for age at onset prediction of spinocerebellar ataxia type 310
FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research10
Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series10
Editorial: Physical neuromorphic computing and its industrial applications10
EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis10
Software and pipelines for registration and analyses of rodent brain image data in reference atlas space10
Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism10
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models9
Editorial: Recent applications of noninvasive physiological signals and artificial intelligence9
Efficient simulation of neural development using shared memory parallelization9
Large language models can extract metadata for annotation of human neuroimaging publications9
Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface9
A canonical polyadic tensor basis for fast Bayesian estimation of multi-subject brain activation patterns9
A Systematic Approach for Explaining Time and Frequency Features Extracted by Convolutional Neural Networks From Raw Electroencephalography Data9
On the need for abstract, deep reinforcement learning models in neuroscience9
Progressive 3D biomedical image registration network based on deep self-calibration9
Neural simulation pipeline: Enabling container-based simulations on-premise and in public clouds9
The ROSMAP project: aging and neurodegenerative diseases through omic sciences9
Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST8
Brain subnetworks most sensitive to alterations of functional connectivity in Schizophrenia: a data-driven approach8
Editorial: Bringing together data- and knowledge-driven solutions for a better understanding and effective diagnostics of neurological disorders8
Improving EEG classification of alcoholic and control subjects using DWT-CNN-BiGRU with various noise filtering techniques8
Enhancing brain tumor detection in MRI with a rotation invariant Vision Transformer8
A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China8
Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury8
Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection8
Sensitivity analysis of a mathematical model of Alzheimer's disease progression unveils important causal pathways8
Motor imagery-based brain-computer interfaces: an exploration of multiclass motor imagery-based control for Emotiv EPOC X7
Quantifying evoked responses through information-theoretical measures7
suMRak: a multi-tool solution for preclinical brain MRI data analysis7
An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms7
M3: using mask-attention and multi-scale for multi-modal brain MRI classification7
Multi illumination color constancy based on multi-scale supervision and single-scale estimation cascade convolution neural network7
A Robust Modular Automated Neuroimaging Pipeline for Model Inputs to TheVirtualBrain7
Improving the detection of sleep slow oscillations in electroencephalographic data7
Modernizing the NEURON Simulator for Sustainability, Portability, and Performance7
A generalized deep learning network for fractional anisotropy reconstruction: Application to epilepsy and multiple sclerosis7
SparNet: A Convolutional Neural Network for EEG Space-Frequency Feature Learning and Depression Discrimination7
Differential processing of intrinsic vs. extrinsic coordinates in wrist movement: connectivity and chronometry perspectives7
Evaluation of an English language phoneme-based imagined speech brain computer interface with low-cost electroencephalography7
Functional MRI study of feedback-based reinforcement learning in depression7
Identifying natural inhibitors against FUS protein in dementia through machine learning, molecular docking, and dynamics simulation6
Enhancing human activity recognition for the elderly and individuals with disabilities through optimized Internet-of-Things and artificial intelligence integration with advanced neural networks6
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 distur6
Editorial: Brain Modeling of Neurogenerative Disorders6
Artificial intelligence role in advancement of human brain connectome studies6
The Case for Optimized Edge-Centric Tractography at Scale6
A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics6
The image and data archive at the laboratory of neuro imaging6
Reproducible supervised learning-assisted classification of spontaneous synaptic waveforms with Eventer6
vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis6
Early detection of mild cognitive impairment through neuropsychological tests in population screenings: a decision support system integrating ontologies and machine learning6
Brain MRI sequence and view plane identification using deep learning6
Domain adaptation for EEG-based, cross-subject epileptic seizure prediction6
Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements6
Test-retest reliability of peak location in the sensorimotor network of resting state fMRI for potential rTMS targets6
Effects of individualized brain anatomies and EEG electrode positions on inferred activity of the primary auditory cortex6
Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset6
Neural network system for analyzing statistical factors of patients for predicting the survival of dental implants6
Microglial morphometric analysis: so many options, so little consistency6
Efficient federated learning for distributed neuroimaging data6
A Physics Informed Neural Network (PINN) framework for fractional order modeling of Alzheimer's disease6
A System-on-Chip Based Hybrid Neuromorphic Compute Node Architecture for Reproducible Hyper-Real-Time Simulations of Spiking Neural Networks6
Bridging neuroscience and AI: a survey on large language models for neurological signal interpretation5
Commentary: Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch5
LLRHNet: Multiple Lesions Segmentation Using Local-Long Range Features5
Exploring white matter dynamics and morphology through interactive numerical phantoms: the White Matter Generator5
The EBRAINS Hodgkin-Huxley Neuron Builder: An online resource for building data-driven neuron models5
The pursuit of approaches to federate data to accelerate Alzheimer’s disease and related dementia research: GAAIN, DPUK, and ADDI5
Non-stationary neural signal to image conversion framework for image-based deep learning algorithms5
Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies5
Quantitative assessment of neurodevelopmental maturation: a comprehensive systematic literature review of artificial intelligence-based brain age prediction in pediatric populations5
Intradialytic hypotension prediction using covariance matrix-driven whale optimizer with orthogonal structure-assisted extreme learning machine5
NeuroWRAP: integrating, validating, and sharing neurodata analysis workflows5
Digitoids: a novel computational platform for mimicking oxygen-dependent firing of neurons in vitro5
Review of Generative Adversarial Networks in mono- and cross-modal biomedical image registration5
CycleGAN models show consistent brain MRI synthesis across datasets supporting downstream tissue characterization in multiple sclerosis5
Editorial: Advanced EEG analysis techniques for neurological disorders5
In silico analyses of the involvement of GPR55, CB1R and TRPV1: response to THC, contribution to temporal lobe epilepsy, structural modeling and updated evolution4
CNN-based framework for Alzheimer's disease detection from EEG via dynamic mode decomposition4
Novel methods for elucidating modality importance in multimodal electrophysiology classifiers4
Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification4
A Spiking Neural Network Builder for Systematic Data-to-Model Workflow4
NIDM-Terms: community-based terminology management for improved neuroimaging dataset descriptions and query4
The Locare workflow: representing neuroscience data locations as geometric objects in 3D brain atlases4
Expected affine: A registration method for damaged section in serial sections electron microscopy4
Harmonizing data on correlates of sleep in children within and across neurodevelopmental disorders: lessons learned from an Ontario Brain Institute cross-program collaboration4
Retraction: NeuroSuites: an online platform for running neuroscience, statistical, and machine learning tools4
An optimized framework for processing multicentric polysomnographic data incorporating expert human oversight4
Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure4
An enhanced ant colony optimizer with Cauchy-Gaussian fusion and novel movement strategy for multi-threshold COVID-19 X-ray image segmentation4
Mitigating Computer Limitations in Replicating Numerical Simulations of a Neural Network Model With Hodgkin-Huxley-Type Neurons4
NeuroDecodeR: a package for neural decoding in R4
On the Minimal Amount of EEG Data Required for Learning Distinctive Human Features for Task-Dependent Biometric Applications4
VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data4
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
A Programmable Ontology Encompassing the Functional Logic of the Drosophila Brain4
A scoping review of mathematical models covering Alzheimer's disease progression4
Comparing feature selection and machine learning approaches for predicting CYP2D6 methylation from genetic variation4
Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs4
Harmonizing AI governance regulations and neuroinformatics: perspectives on privacy and data sharing4
An accessible and versatile deep learning-based sleep stage classifier4
Optimizing neuroscience data management by combining REDCap, BIDS and SQLite: a case study in Deep Brain Stimulation4
Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder4
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