Frontiers in Neuroinformatics

Papers
(The TQCC of Frontiers in Neuroinformatics is 7. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
A Simulation Toolkit for Testing the Sensitivity and Accuracy of Corticometry Pipelines124
Editorial: Innovative methods for sleep staging using neuroinformatics76
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex68
The quest to share data67
Intra-V1 functional networks and classification of observed stimuli52
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction41
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy39
FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network38
Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach37
Editorial: Neuroinformatics of large-scale brain modelling37
State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles36
A computational model of Alzheimer's disease at the nano, micro, and macroscales32
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database31
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques29
Deep Neuro-Vision Embedded Architecture for Safety Assessment in Perceptive Advanced Driver Assistance Systems: The Pedestrian Tracking System Use-Case28
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatment27
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data26
A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor25
Unsupervised method for representation transfer from one brain to another24
Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression23
Multi-threshold image segmentation for melanoma based on Kapur’s entropy using enhanced ant colony optimization22
Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks22
Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies22
QuNex—An integrative platform for reproducible neuroimaging analytics21
Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps20
SynCoPa: Visualizing Connectivity Paths and Synapses Over Detailed Morphologies20
Tracking axon initial segment plasticity using high-density microelectrode arrays: A computational study18
Analyzing Complex Problem Solving by Dynamic Brain Networks18
Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN18
Erratum: Mapping and validating a point neuron model on Intel's neuromorphic hardware Loihi18
A review of risk concepts and models for predicting the risk of primary stroke16
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub15
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients15
Project, toolkit, and database of neuroinformatics ecosystem: A summary of previous studies on “Frontiers in Neuroinformatics”14
BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures14
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute14
Light-weight neural network for intra-voxel structure analysis14
Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation13
Age-Specific Adult Rat Brain MRI Templates and Tissue Probability Maps13
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models13
Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation13
Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study13
Alternative patterns of deep brain stimulation in neurologic and neuropsychiatric disorders13
NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use13
EpiBOX: An Automated Platform for Long-Term Biosignal Collection13
A systematic comparison of deep learning methods for EEG time series analysis12
Corrigendum: Mapping and validating a point neuron model on intel's neuromorphic hardware Loihi12
Editorial: Addressing large scale computing challenges in neuroscience: current advances and future directions12
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks12
Multi-omics integration reveals a six-malignant cell maker gene signature for predicting prognosis in high-risk neuroblastoma12
Multi-Scale Graph Representation Learning for Autism Identification With Functional MRI12
Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning12
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data11
Machine learning reveals interhemispheric somatosensory coherence as indicator of anesthetic depth11
ConGen—A Simulator-Agnostic Visual Language for Definition and Generation of Connectivity in Large and Multiscale Neural Networks11
SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation11
PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks11
Long-range temporal correlations in resting state alpha oscillations in major depressive disorder and obsessive-compulsive disorder11
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks11
STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale10
Time-Frequency Representations of Brain Oscillations: Which One Is Better?10
Discovering optimal features for neuron-type identification from extracellular recordings10
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint10
Towards Bridging the Gap Between Computational Intelligence and Neuroscience in Brain-Computer Interfaces With a Common Description of Systems and Data10
Contrastive self-supervised learning for neurodegenerative disorder classification10
Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus9
Events in context—The HED framework for the study of brain, experience and behavior9
Editorial: Weakly supervised deep learning-based methods for brain image analysis9
Enhanced Performance by Interpretable Low-Frequency Electroencephalogram Oscillations in the Machine Learning-Based Diagnosis of Post-traumatic Stress Disorder9
A Validation of Supervised Deep Learning for Gait Analysis in the Cat9
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM9
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia9
A Quick and Easy Way to Estimate Entropy and Mutual Information for Neuroscience9
Investigating cortical complexity and connectivity in rats with schizophrenia9
Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals8
RealNeuralNetworks.jl: An Integrated Julia Package for Skeletonization, Morphological Analysis, and Synaptic Connectivity Analysis of Terabyte-Scale 3D Neural Segmentations8
Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources8
A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography8
PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS8
Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study8
Can micro-expressions be used as a biomarker for autism spectrum disorder?8
MIIND : A Model-Agnostic Simulator of Neural Populations8
Brain structural alterations in young girls with Rett syndrome: A voxel-based morphometry and tract-based spatial statistics study8
Multiscale co-simulation design pattern for neuroscience applications8
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset8
Brain-Computer Interface using neural network and temporal-spectral features8
Power spectral analysis of voltage-gated channels in neurons8
Efficient simulation of neural development using shared memory parallelization7
Explainable artificial intelligence based on feature optimization for age at onset prediction of spinocerebellar ataxia type 37
Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism7
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models7
Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface7
Identifying Boys With Autism Spectrum Disorder Based on Whole-Brain Resting-State Interregional Functional Connections Using a Boruta-Based Support Vector Machine Approach7
Editorial: Recent applications of noninvasive physiological signals and artificial intelligence7
Editorial: Physical neuromorphic computing and its industrial applications7
Neuroimaging article reexecution and reproduction assessment system7
Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks7
A canonical polyadic tensor basis for fast Bayesian estimation of multi-subject brain activation patterns7
Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis7
Neural simulation pipeline: Enabling container-based simulations on-premise and in public clouds7
Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection7
Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series7
Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning7
Editorial: Reproducible analysis in neuroscience7
FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research7
EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis7
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