Frontiers in Neuroinformatics

Papers
(The median citation count of Frontiers in Neuroinformatics is 2. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
ConGen—A Simulator-Agnostic Visual Language for Definition and Generation of Connectivity in Large and Multiscale Neural Networks120
Multi-Dimensional Enhanced Seizure Prediction Framework Based on Graph Convolutional Network75
Expected affine: A registration method for damaged section in serial sections electron microscopy66
Panama: An Open-Source Educational App for Ion Channel Biophysics Simulation62
Multi illumination color constancy based on multi-scale supervision and single-scale estimation cascade convolution neural network50
A Simulation Toolkit for Testing the Sensitivity and Accuracy of Corticometry Pipelines40
A Robust Modular Automated Neuroimaging Pipeline for Model Inputs to TheVirtualBrain37
Young and Aged Neuronal Tissue Dynamics With a Simplified Neuronal Patch Cellular Automata Model37
Improving the detection of sleep slow oscillations in electroencephalographic data36
Gershgorin circle theorem-based feature extraction for biomedical signal analysis35
SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation34
STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale31
Towards Bridging the Gap Between Computational Intelligence and Neuroscience in Brain-Computer Interfaces With a Common Description of Systems and Data29
NNMT: Mean-Field Based Analysis Tools for Neuronal Network Models28
Systematic bibliometric and visualized analysis of research hotspots and trends in artificial intelligence in autism spectrum disorder28
Supervised Learning With Perceptual Similarity for Multimodal Gene Expression Registration of a Mouse Brain Atlas27
On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell26
Characterizing Network Search Algorithms Developed for Dynamic Causal Modeling26
Differential processing of intrinsic vs. extrinsic coordinates in wrist movement: connectivity and chronometry perspectives25
Intradialytic hypotension prediction using covariance matrix-driven whale optimizer with orthogonal structure-assisted extreme learning machine24
The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network23
Contrastive self-supervised learning for neurodegenerative disorder classification22
Editorial: Innovative methods for sleep staging using neuroinformatics21
PymoNNto: A Flexible Modular Toolbox for Designing Brain-Inspired Neural Networks21
DarkASDNet: Classification of ASD on Functional MRI Using Deep Neural Network20
The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint19
Editorial: Neuromodulation using spatiotemporally complex patterns18
Interpretable evaluation for the Brunnstrom recovery stage of the lower limb based on wearable sensors18
Harmonizing AI governance regulations and neuroinformatics: perspectives on privacy and data sharing17
Quantifying evoked responses through information-theoretical measures17
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction16
Editorial: Emerging trends in large-scale data analysis for neuroscience research16
Intra-V1 functional networks and classification of observed stimuli15
The quest to share data15
Feature Selection Techniques for a Machine Learning Model to Detect Autonomic Dysreflexia14
Cooperation objective evaluation in aviation: validation and comparison of two novel approaches in simulated environment14
Machine learning reveals interhemispheric somatosensory coherence as indicator of anesthetic depth13
CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning13
Classification of partial seizures based on functional connectivity: A MEG study with support vector machine13
Statistical Analysis of Graph-Theoretic Indices to Study EEG-TMS Connectivity in Patients With Depression13
A Validation of Supervised Deep Learning for Gait Analysis in the Cat13
Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus13
Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique13
NeuroDecodeR: a package for neural decoding in R13
THINGSvision: A Python Toolbox for Streamlining the Extraction of Activations From Deep Neural Networks13
Nonconvex Nonlocal Tucker Decomposition for 3D Medical Image Super-Resolution12
PyGeNN: A Python Library for GPU-Enhanced Neural Networks12
Framework for the Classification of Emotions in People With Visual Disabilities Through Brain Signals12
A numerical population density technique for N-dimensional neuron models12
Discovering optimal features for neuron-type identification from extracellular recordings11
Toward learning robust contrastive embeddings for binaural sound source localization11
Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs11
Recognition ability of untrained neural networks to symbolic numbers11
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy11
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks11
A Quick and Easy Way to Estimate Entropy and Mutual Information for Neuroscience10
LYNSU: automated 3D neuropil segmentation of fluorescent images for Drosophila brains10
DR-IIXRN : Detection Algorithm of Diabetic Retinopathy Based on Deep Ensemble Learning and Attention Mechanism10
NIDM-Terms: community-based terminology management for improved neuroimaging dataset descriptions and query10
Interpretable machine learning comprehensive human gait deterioration analysis10
Time-Frequency Representations of Brain Oscillations: Which One Is Better?9
Enhanced Performance by Interpretable Low-Frequency Electroencephalogram Oscillations in the Machine Learning-Based Diagnosis of Post-traumatic Stress Disorder9
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database9
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex9
An accessible and versatile deep learning-based sleep stage classifier9
Brain structural alterations in young girls with Rett syndrome: A voxel-based morphometry and tract-based spatial statistics study9
Effect of natural and synthetic noise data augmentation on physical action classification by brain–computer interface and deep learning9
SparNet: A Convolutional Neural Network for EEG Space-Frequency Feature Learning and Depression Discrimination9
A domain adaptation benchmark for T1-weighted brain magnetic resonance image segmentation9
The Locare workflow: representing neuroscience data locations as geometric objects in 3D brain atlases9
FN-OCT: Disease Detection Algorithm for Retinal Optical Coherence Tomography Based on a Fusion Network9
Co-optimization Learning Network for MRI Segmentation of Ischemic Penumbra Tissues8
Editorial: Neuroinformatics of large-scale brain modelling8
FAIR African brain data: challenges and opportunities8
Events in context—The HED framework for the study of brain, experience and behavior8
Perfusion-weighted software written in Python for DSC-MRI analysis8
Evaluation of an English language phoneme-based imagined speech brain computer interface with low-cost electroencephalography8
M3: using mask-attention and multi-scale for multi-modal brain MRI classification8
A Spiking Neural Network Builder for Systematic Data-to-Model Workflow8
Mitigating Computer Limitations in Replicating Numerical Simulations of a Neural Network Model With Hodgkin-Huxley-Type Neurons8
Functional MRI study of feedback-based reinforcement learning in depression7
State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles7
PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS7
Explainable deep-learning framework: decoding brain states and prediction of individual performance in false-belief task at early childhood stage7
Corrigendum: Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder7
Investigating cortical complexity and connectivity in rats with schizophrenia7
Deep Neuro-Vision Embedded Architecture for Safety Assessment in Perceptive Advanced Driver Assistance Systems: The Pedestrian Tracking System Use-Case7
AngoraPy: A Python toolkit for modeling anthropomorphic goal-driven sensorimotor systems7
Editorial: Weakly supervised deep learning-based methods for brain image analysis7
Single Image-Based Vignetting Correction for Improving the Consistency of Neural Activity Analysis in 2-Photon Functional Microscopy7
A generalized deep learning network for fractional anisotropy reconstruction: Application to epilepsy and multiple sclerosis7
Mapping and Validating a Point Neuron Model on Intel's Neuromorphic Hardware Loihi7
Mapping and Validating a Point Neuron Model on Intel's Neuromorphic Hardware Loihi7
Brain-Computer Interface using neural network and temporal-spectral features7
Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals7
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data7
Power spectral analysis of voltage-gated channels in neurons7
Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors6
A System-on-Chip Based Hybrid Neuromorphic Compute Node Architecture for Reproducible Hyper-Real-Time Simulations of Spiking Neural Networks6
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM6
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques6
Modeling the Sequential Pattern Variability of the Electromotor Command System of Pulse Electric Fish6
An enhanced ant colony optimizer with Cauchy-Gaussian fusion and novel movement strategy for multi-threshold COVID-19 X-ray image segmentation6
Large-scale biophysically detailed model of somatosensory thalamocortical circuits in NetPyNE6
Decision trees to evaluate the risk of developing multiple sclerosis6
Quantitative evaluation method of stroke association based on multidimensional gait parameters by using machine learning6
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 Medical6
A computational model to simulate spectral modulation and speech perception experiments of cochlear implant users6
A computational model of Alzheimer's disease at the nano, micro, and macroscales6
Corrigendum: Functional MRI study of feedback-based reinforcement learning in depression6
Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach6
Comparing feature selection and machine learning approaches for predicting CYP2D6 methylation from genetic variation5
Modeling Brain Volume Using Deep Learning-Based Physical Activity Features in Patients With Dementia5
Arpra: An Arbitrary Precision Range Analysis Library5
Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification5
Improving the brain image resolution of generalized q-sampling MRI revealed by a three-dimensional CNN-based method5
Novel methods for elucidating modality importance in multimodal electrophysiology classifiers5
A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography5
A method for reconstruction of interpretable brain networks from transient synchronization in resting-state BOLD fluctuations5
A Hybrid Deep Learning Method for Early and Late Mild Cognitive Impairment Diagnosis With Incomplete Multimodal Data5
BOLD Monitoring in the Neural Simulator ANNarchy5
Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques5
suMRak: a multi-tool solution for preclinical brain MRI data analysis5
SNAP: a structure-based neuron morphology reconstruction automatic pruning pipeline5
NeoRS: A Neonatal Resting State fMRI Data Preprocessing Pipeline5
Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism5
On the Minimal Amount of EEG Data Required for Learning Distinctive Human Features for Task-Dependent Biometric Applications5
Auto-Selection of an Optimal Sparse Matrix Format in the Neuro-Simulator ANNarchy5
Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation5
MIIND : A Model-Agnostic Simulator of Neural Populations5
A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor5
Comparing the Performance of Two Radiomic Models to Predict Progression and Progression Speed of White Matter Hyperintensities5
Browsing Multiple Subjects When the Atlas Adaptation Cannot Be Achieved via a Warping Strategy5
The Stroke Neuro-Imaging Phenotype Repository: An Open Data Science Platform for Stroke Research4
Modernizing the NEURON Simulator for Sustainability, Portability, and Performance4
Parameter Estimation of Two Spiking Neuron Models With Meta-Heuristic Optimization Algorithms4
Optimizing neuroscience data management by combining REDCap, BIDS and SQLite: a case study in Deep Brain Stimulation4
An optimized framework for processing multicentric polysomnographic data incorporating expert human oversight4
NIRS-ICA: A MATLAB Toolbox for Independent Component Analysis Applied in fNIRS Studies4
Automated detection of cerebral microbleeds on MR images using knowledge distillation framework4
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatment4
An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms4
Development and Validation of a Semi-Automated, Preclinical, MRI-Template Based PET Image Data Analysis Tool for Rodents4
Scale-free and oscillatory spectral measures of sleep stages in humans4
Predicting in vitro single-neuron firing rates upon pharmacological perturbation using Graph Neural Networks4
Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies4
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models4
Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients4
Harmonizing data on correlates of sleep in children within and across neurodevelopmental disorders: lessons learned from an Ontario Brain Institute cross-program collaboration4
Few-shot EEG sleep staging based on transductive prototype optimization network4
Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression4
RealNeuralNetworks.jl: An Integrated Julia Package for Skeletonization, Morphological Analysis, and Synaptic Connectivity Analysis of Terabyte-Scale 3D Neural Segmentations4
A deep learning approach with subregion partition in MRI image analysis for metastatic brain tumor4
EDEN: A High-Performance, General-Purpose, NeuroML-Based Neural Simulator3
Editorial: Multi-site neuroimage analysis: Domain adaptation and batch effects3
Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks3
Exploring EEG-based motor imagery decoding: a dual approach using spatial features and spectro-spatial Deep Learning model IFNet3
Retraction: NeuroSuites: an online platform for running neuroscience, statistical, and machine learning tools3
RETRACTED: NeuroSuites: An online platform for running neuroscience, statistical, and machine learning tools3
Multiscale co-simulation design pattern for neuroscience applications3
In silico analyses of the involvement of GPR55, CB1R and TRPV1: response to THC, contribution to temporal lobe epilepsy, structural modeling and updated evolution3
Can micro-expressions be used as a biomarker for autism spectrum disorder?3
Analyzing Complex Problem Solving by Dynamic Brain Networks3
A deep learning framework for classifying microglia activation state using morphology and intrinsic fluorescence lifetime data3
Modeling Neurodegeneration in silico With Deep Learning3
Connectomics Annotation Metadata Standardization for Increased Accessibility and Queryability3
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset3
SynCoPa: Visualizing Connectivity Paths and Synapses Over Detailed Morphologies3
Test-retest reliability of peak location in the sensorimotor network of resting state fMRI for potential rTMS targets3
Editorial: Reproducible analysis in neuroscience3
A Programmable Ontology Encompassing the Functional Logic of the Drosophila Brain3
Fireworks explosion boosted Harris Hawks optimization for numerical optimization: Case of classifying the severity of COVID-193
The Case for Optimized Edge-Centric Tractography at Scale3
Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism3
Tracking axon initial segment plasticity using high-density microelectrode arrays: A computational study3
Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources3
A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations3
Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps3
Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks3
Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure3
A Waveform-Independent Measure of Recurrent Neural Activity3
Research on ECG signal reconstruction based on improved weighted nuclear norm minimization and approximate message passing algorithm3
Targeted neuroplasticity in spatiotemporally patterned invasive neuromodulation therapies for improving clinical outcomes3
Extended Invariant Information Clustering Is Effective for Leave-One-Site-Out Cross-Validation in Resting State Functional Connectivity Modeling3
Neuroimaging article reexecution and reproduction assessment system3
Extending and using anatomical vocabularies in the stimulating peripheral activity to relieve conditions project2
Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study2
The image and data archive at the laboratory of neuro imaging2
Erratum: Mapping and validating a point neuron model on Intel's neuromorphic hardware Loihi2
Tuberculous pleural effusion prediction using ant colony optimizer with grade-based search assisted support vector machine2
BrainQuake: An Open-Source Python Toolbox for the Stereoelectroencephalography Spatiotemporal Analysis2
Synaptic network structure shapes cortically evoked spatio-temporal responses of STN and GPe neurons in a computational model2
Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements2
Editorial: Image and geometry analysis for brain informatics2
Editorial: Physical neuromorphic computing and its industrial applications2
neuPrint: An open access tool for EM connectomics2
Domain adaptation for EEG-based, cross-subject epileptic seizure prediction2
Comparative Study of Multi-Delay Pseudo-Continuous Arterial Spin Labeling Perfusion MRI and CT Perfusion in Ischemic Stroke Disease2
Adaptive Multimodal Neuroimage Integration for Major Depression Disorder Detection2
Unsupervised method for representation transfer from one brain to another2
Identifying discriminative features of brain network for prediction of Alzheimer’s disease using graph theory and machine learning2
Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN2
Efficient federated learning for distributed neuroimaging data2
bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease2
Effects of individualized brain anatomies and EEG electrode positions on inferred activity of the primary auditory cortex2
An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis2
Automatic segmentation of hemorrhagic transformation on follow-up non-contrast CT after acute ischemic stroke2
An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload2
The EBRAINS NeuroFeatureExtract: An Online Resource for the Extraction of Neural Activity Features From Electrophysiological Data2
TReC: Transferred ResNet and CBAM for Detecting Brain Diseases2
Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder2
Multi-threshold image segmentation for melanoma based on Kapur’s entropy using enhanced ant colony optimization2
Artificial intelligence role in advancement of human brain connectome studies2
Factorized discriminant analysis for genetic signatures of neuronal phenotypes2
Application value of a deep learning method based on a 3D V-Net convolutional neural network in the recognition and segmentation of the auditory ossicles2
A scoping review of mathematical models covering Alzheimer's disease progression2
Multimodal Ensemble Deep Learning to Predict Disruptive Behavior Disorders in Children2
QuNex—An integrative platform for reproducible neuroimaging analytics2
Epileptic seizure prediction based on EEG using pseudo-three-dimensional CNN2
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