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 2022-06-01 to 2026-06-01.)
ArticleCitations
Editorial: Innovative methods for sleep staging using neuroinformatics121
The quest to share data113
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex90
Intra-V1 functional networks and classification of observed stimuli55
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy53
Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings45
FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network42
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 techniques39
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data38
Editorial: Neuroinformatics of large-scale brain modelling32
A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor32
A computational model of Alzheimer's disease at the nano, micro, and macroscales31
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatment31
Unsupervised method for representation transfer from one brain to another30
State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles30
Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies28
Erratum: Mapping and validating a point neuron model on Intel's neuromorphic hardware Loihi27
Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN27
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
Tracking axon initial segment plasticity using high-density microelectrode arrays: A computational study23
Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps23
A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons23
Multi-threshold image segmentation for melanoma based on Kapur’s entropy using enhanced ant colony optimization23
QuNex—An integrative platform for reproducible neuroimaging analytics22
BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures21
Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study21
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients20
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub19
NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use19
Light-weight neural network for intra-voxel structure analysis18
Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on “Frontiers in Neuroinformatics”18
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models17
Alternative patterns of deep brain stimulation in neurologic and neuropsychiatric disorders17
A review of risk concepts and models for predicting the risk of primary stroke17
Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation16
Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation16
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute16
Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study15
Correction: A Physics Informed Neural Network (PINN) framework for fractional order modeling of Alzheimer's disease15
Corrigendum: Mapping and validating a point neuron model on intel's neuromorphic hardware Loihi15
Super-resolution microscopy and deep learning methods: what can they bring to neuroscience: from neuron to 3D spine segmentation15
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks15
Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning14
Multi-omics integration reveals a six-malignant cell maker gene signature for predicting prognosis in high-risk neuroblastoma14
Long-range temporal correlations in resting state alpha oscillations in major depressive disorder and obsessive-compulsive disorder14
Editorial: Multimodal brain data integration and computational modeling14
Editorial: Addressing large scale computing challenges in neuroscience: current advances and future directions14
SynSpine: an automated workflow for the generation of longitudinal spinal cord synthetic MRI data14
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data14
Discovering optimal features for neuron-type identification from extracellular recordings13
Machine learning reveals interhemispheric somatosensory coherence as indicator of anesthetic depth13
SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation13
A systematic comparison of deep learning methods for EEG time series analysis13
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint13
Reliability and diagnostic performance of an automated MRI-based classifier compared with radiologists in Alzheimer’s disease12
STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale12
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks12
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia12
BrainInsights: a comprehensive framework for pre-processing, analysis, and interpretation of neuroimaging data using traditional statistics and machine learning11
Editorial: Weakly supervised deep learning-based methods for brain image analysis11
Investigating cortical complexity and connectivity in rats with schizophrenia11
Contrastive self-supervised learning for neurodegenerative disorder classification11
Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus11
Brain-Computer Interface using neural network and temporal-spectral features11
Events in context—The HED framework for the study of brain, experience and behavior11
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM11
Power spectral analysis of voltage-gated channels in neurons11
Neuroimaging article reexecution and reproduction assessment system10
Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals10
Editorial: Reproducible analysis in neuroscience10
Brain structural alterations in young girls with Rett syndrome: A voxel-based morphometry and tract-based spatial statistics study10
Can micro-expressions be used as a biomarker for autism spectrum disorder?10
PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS10
Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series9
Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources9
EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis9
Software and pipelines for registration and analyses of rodent brain image data in reference atlas space9
Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis9
Multiscale co-simulation design pattern for neuroscience applications9
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
Editorial: Physical neuromorphic computing and its industrial applications9
Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism9
Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks9
Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning9
FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research9
Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface8
Editorial: Recent applications of noninvasive physiological signals and artificial intelligence8
On the need for abstract, deep reinforcement learning models in neuroscience8
A high-resolution dataset of mouse brain vasculature for deep learning-based reconstruction8
A canonical polyadic tensor basis for fast Bayesian estimation of multi-subject brain activation patterns8
Neural simulation pipeline: Enabling container-based simulations on-premise and in public clouds8
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models8
Progressive 3D biomedical image registration network based on deep self-calibration8
Efficient simulation of neural development using shared memory parallelization8
The ROSMAP project: aging and neurodegenerative diseases through omic sciences7
Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury7
Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST7
Differential processing of intrinsic vs. extrinsic coordinates in wrist movement: connectivity and chronometry perspectives7
Quantifying evoked responses through information-theoretical measures7
Brain subnetworks most sensitive to alterations of functional connectivity in Schizophrenia: a data-driven approach7
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
Sensitivity analysis of a mathematical model of Alzheimer's disease progression unveils important causal pathways7
Improving the detection of sleep slow oscillations in electroencephalographic data7
A Robust Modular Automated Neuroimaging Pipeline for Model Inputs to TheVirtualBrain7
Large language models can extract metadata for annotation of human neuroimaging publications7
Editorial: Bringing together data- and knowledge-driven solutions for a better understanding and effective diagnostics of neurological disorders7
A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China7
Improving EEG classification of alcoholic and control subjects using DWT-CNN-BiGRU with various noise filtering techniques7
Multi illumination color constancy based on multi-scale supervision and single-scale estimation cascade convolution neural network7
Motor imagery-based brain-computer interfaces: an exploration of multiclass motor imagery-based control for Emotiv EPOC X7
SparNet: A Convolutional Neural Network for EEG Space-Frequency Feature Learning and Depression Discrimination6
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
A Physics Informed Neural Network (PINN) framework for fractional order modeling of Alzheimer's disease6
Artificial intelligence role in advancement of human brain connectome studies6
suMRak: a multi-tool solution for preclinical brain MRI data analysis6
An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms6
Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements6
The image and data archive at the laboratory of neuro imaging6
Modernizing the NEURON Simulator for Sustainability, Portability, and Performance6
M3: using mask-attention and multi-scale for multi-modal brain MRI classification6
A generalized deep learning network for fractional anisotropy reconstruction: Application to epilepsy and multiple sclerosis6
A System-on-Chip Based Hybrid Neuromorphic Compute Node Architecture for Reproducible Hyper-Real-Time Simulations of Spiking Neural Networks6
Efficient federated learning for distributed neuroimaging data6
Test-retest reliability of peak location in the sensorimotor network of resting state fMRI for potential rTMS targets6
FUSION-AD: interpretable AI framework for risk assessment and subgroup discovery in Alzheimer's disease5
Effects of individualized brain anatomies and EEG electrode positions on inferred activity of the primary auditory cortex5
A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics5
Early detection of mild cognitive impairment through neuropsychological tests in population screenings: a decision support system integrating ontologies and machine learning5
Review of Generative Adversarial Networks in mono- and cross-modal biomedical image registration5
Neural network system for analyzing statistical factors of patients for predicting the survival of dental implants5
Domain adaptation for EEG-based, cross-subject epileptic seizure prediction5
Brain MRI sequence and view plane identification using deep learning5
Microglial morphometric analysis: so many options, so little consistency5
Digitoids: a novel computational platform for mimicking oxygen-dependent firing of neurons in vitro5
Commentary: Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch5
Identifying natural inhibitors against FUS protein in dementia through machine learning, molecular docking, and dynamics simulation5
Enhancing human activity recognition for the elderly and individuals with disabilities through optimized Internet-of-Things and artificial intelligence integration with advanced neural networks5
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
Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies5
Non-stationary neural signal to image conversion framework for image-based deep learning algorithms5
Harmonizing AI governance regulations and neuroinformatics: perspectives on privacy and data sharing4
Comparing feature selection and machine learning approaches for predicting CYP2D6 methylation from genetic variation4
Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors4
An enhanced ant colony optimizer with Cauchy-Gaussian fusion and novel movement strategy for multi-threshold COVID-19 X-ray image segmentation4
An accessible and versatile deep learning-based sleep stage classifier4
Intradialytic hypotension prediction using covariance matrix-driven whale optimizer with orthogonal structure-assisted extreme learning machine4
The EBRAINS Hodgkin-Huxley Neuron Builder: An online resource for building data-driven neuron models4
The pursuit of approaches to federate data to accelerate Alzheimer’s disease and related dementia research: GAAIN, DPUK, and ADDI4
Quantitative assessment of neurodevelopmental maturation: a comprehensive systematic literature review of artificial intelligence-based brain age prediction in pediatric populations4
Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs4
The Locare workflow: representing neuroscience data locations as geometric objects in 3D brain atlases4
Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification4
NeuroDecodeR: a package for neural decoding in R4
NeuroWRAP: integrating, validating, and sharing neurodata analysis workflows4
Bridging neuroscience and AI: a survey on large language models for neurological signal interpretation4
Reproducible supervised learning-assisted classification of spontaneous synaptic waveforms with Eventer4
Expected affine: A registration method for damaged section in serial sections electron microscopy4
Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder4
Novel methods for elucidating modality importance in multimodal electrophysiology classifiers4
A Spiking Neural Network Builder for Systematic Data-to-Model Workflow4
NIDM-Terms: community-based terminology management for improved neuroimaging dataset descriptions and query4
Editorial: Advanced EEG analysis techniques for neurological disorders4
CycleGAN models show consistent brain MRI synthesis across datasets supporting downstream tissue characterization in multiple sclerosis4
Exploring white matter dynamics and morphology through interactive numerical phantoms: the White Matter Generator4
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