Frontiers in Neuroinformatics

Papers
(The TQCC of Frontiers in Neuroinformatics is 8. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy147
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction97
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex87
Editorial: Innovative methods for sleep staging using neuroinformatics78
The quest to share data64
Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings49
FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network45
Intra-V1 functional networks and classification of observed stimuli43
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database41
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatment37
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data36
Editorial: Neuroinformatics of large-scale brain modelling35
State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles33
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques32
A computational model of Alzheimer's disease at the nano, micro, and macroscales29
Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach27
A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor26
Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps25
SynCoPa: Visualizing Connectivity Paths and Synapses Over Detailed Morphologies24
Unsupervised method for representation transfer from one brain to another24
Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN23
Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies23
Erratum: Mapping and validating a point neuron model on Intel's neuromorphic hardware Loihi22
Correction: Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression21
A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons21
Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression20
Tracking axon initial segment plasticity using high-density microelectrode arrays: A computational study19
Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks19
Analyzing Complex Problem Solving by Dynamic Brain Networks19
Multi-threshold image segmentation for melanoma based on Kapur’s entropy using enhanced ant colony optimization19
Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study18
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients18
Light-weight neural network for intra-voxel structure analysis18
QuNex—An integrative platform for reproducible neuroimaging analytics18
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 architectures17
Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on “Frontiers in Neuroinformatics”17
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub17
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute17
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models17
NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use16
A review of risk concepts and models for predicting the risk of primary stroke16
Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps15
Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation15
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
Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation15
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI14
Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning14
EpiBOX: An Automated Platform for Long-Term Biosignal Collection14
Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study14
A systematic comparison of deep learning methods for EEG time series analysis14
Corrigendum: Mapping and validating a point neuron model on intel's neuromorphic hardware Loihi14
Multi-omics integration reveals a six-malignant cell maker gene signature for predicting prognosis in high-risk neuroblastoma14
PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks13
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data13
ConGen—A Simulator-Agnostic Visual Language for Definition and Generation of Connectivity in Large and Multiscale Neural Networks13
Long-range temporal correlations in resting state alpha oscillations in major depressive disorder and obsessive-compulsive disorder13
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint13
Editorial: Addressing large scale computing challenges in neuroscience: current advances and future directions13
SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation12
STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale12
Enhanced Performance by Interpretable Low-Frequency Electroencephalogram Oscillations in the Machine Learning-Based Diagnosis of Post-traumatic Stress Disorder12
Discovering optimal features for neuron-type identification from extracellular recordings12
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia12
Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus12
Contrastive self-supervised learning for neurodegenerative disorder classification12
Events in context—The HED framework for the study of brain, experience and behavior12
Machine learning reveals interhemispheric somatosensory coherence as indicator of anesthetic depth12
Time-Frequency Representations of Brain Oscillations: Which One Is Better?12
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks12
Editorial: Weakly supervised deep learning-based methods for brain image analysis12
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
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
Brain-Computer Interface using neural network and temporal-spectral features11
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset10
Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning10
Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism10
A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography10
RealNeuralNetworks.jl: An Integrated Julia Package for Skeletonization, Morphological Analysis, and Synaptic Connectivity Analysis of Terabyte-Scale 3D Neural Segmentations10
Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study10
PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS10
Multiscale co-simulation design pattern for neuroscience applications9
Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis9
Editorial: Reproducible analysis in neuroscience9
Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks9
Neuroimaging article reexecution and reproduction assessment system9
Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources9
Can micro-expressions be used as a biomarker for autism spectrum disorder?9
Progressive 3D biomedical image registration network based on deep self-calibration8
Neural simulation pipeline: Enabling container-based simulations on-premise and in public clouds8
Explainable artificial intelligence based on feature optimization for age at onset prediction of spinocerebellar ataxia type 38
Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface8
EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis8
Editorial: Recent applications of noninvasive physiological signals and artificial intelligence8
Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series8
Editorial: Physical neuromorphic computing and its industrial applications8
FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research8
Efficient simulation of neural development using shared memory parallelization8
A canonical polyadic tensor basis for fast Bayesian estimation of multi-subject brain activation patterns8
Software and pipelines for registration and analyses of rodent brain image data in reference atlas space8
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models8
0.057952880859375