yusuke1997/dblp-id-title huggingface dataset:
Semi-automated Anatomical Labeling and Inter-subject Warping of High-Density Intracranial Recording Electrodes in Electrocorticography
An interactive image segmentation method for the anatomical structures of the main olfactory bulb with micro-level resolution
Ontology-based approach for in vivo human connectomics: the medial Brodmann area 6 case study
Deep Neuro-Vision Embedded Architecture for Safety Assessment in Perceptive Advanced Driver Assistance Systems: The Pedestrian Tracking System Use-Case
NIRS-ICA: A MATLAB Toolbox for Independent Component Analysis Applied in fNIRS Studies
Optimal hierarchical modular topologies for producing limited sustained activation of neural networks
Neuroinformatics challenges to the structural, connectomic, functional and electrophysiological multimodal imaging of human traumatic brain injury
Development of a Non-invasive Deep Brain Stimulator With Precise Positioning and Real-Time Monitoring of Bioimpedance
Leveraging neuroinformatics to understand cognitive phenotypes in elite athletes through systems neuroscience
Convis: A Toolbox to Fit and Simulate Filter-Based Models of Early Visual Processing
EEG phase synchronization during absence seizures
Effect of natural and synthetic noise data augmentation on physical action classification by brain-computer interface and deep learning
Non-parametric MRI Brain Atlas for the Polish Population
Power spectral analysis of voltage-gated channels in neurons
Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients
Comment on "A simple tool for neuroimaging data sharing"
Pypes: Workflows for Processing Multimodal Neuroimaging Data
Classification of Schizophrenia by Functional Connectivity Strength Using Functional Near Infrared Spectroscopy
Finding neural assemblies with frequent item set mining
A Standardized Protocol for Efficient and Reliable Quality Control of Brain Registration in Functional MRI Studies
Towards Bridging the Gap Between Computational Intelligence and Neuroscience in Brain-Computer Interfaces With a Common Description of Systems and Data
Breaking barriers: broadening neuroscience education via cloud platforms and course-based undergraduate research
Alternation of Resting-State Functional Connectivity Between Visual Cortex and Hypothalamus in Guinea Pigs With Experimental Glucocorticoid Enhanced Myopia After the Treatment of Electroacupuncture
Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent
Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks
Neuroscience data integration through mediation: An (F)BIRN case study
Interactive Light Stimulus Generation with High Performance Real-Time Image Processing and Simple Scripting
Machine learning reveals interhemispheric somatosensory coherence as indicator of anesthetic depth
NeuronDepot: keeping your colleagues in sync by combining modern cloud storage services, the local file system, and simple web applications
Brain Segmentation From Computed Tomography of Healthy Aging and Geriatric Concussion at Variable Spatial Resolutions
ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data
Editorial: Image and geometry analysis for brain informatics
Clustering Coefficients for Correlation Networks
Combining Citizen Science and Deep Learning to Amplify Expertise in Neuroimaging
Comparison of In Vivo and Ex Vivo MRI for the Detection of Structural Abnormalities in a Mouse Model of Tauopathy
Novel methods for elucidating modality importance in multimodal electrophysiology classifiers
A System-on-Chip Based Hybrid Neuromorphic Compute Node Architecture for Reproducible Hyper-Real-Time Simulations of Spiking Neural Networks
Spiking network simulation code for petascale computers
A formal ontology of subcellular neuroanatomy
Large-scale modeling - a tool for conquering the complexity of the brain
Open source software development for neuroinformatics
Brain-wide map of efferent projections from rat barrel cortex
Interpretable machine learning comprehensive human gait deterioration analysis
Enhancing dementia and cognitive decline detection with large language models and speech representation learning
Neural Reconstruction Integrity: A Metric for Assessing the Connectivity Accuracy of Reconstructed Neural Networks
Brian: a simulator for spiking neural networks in Python
Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism
A Multi-facetted Visual Analytics Tool for Exploratory Analysis of Human Brain and Function Datasets
VoxelStats: A MATLAB Package for Multi-Modal Voxel-Wise Brain Image Analysis
Post-hoc Labeling of Arbitrary M/EEG Recordings for Data-Efficient Evaluation of Neural Decoding Methods
Early Seizure Detection by Applying Frequency-Based Algorithm Derived from the Principal Component Analysis
Imaging brain change across different time scales
The image and data archive at the laboratory of neuro imaging
On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell
Data Ontology and an Information System Realization for Web-Based Management of Image Measurements
Validation and Diagnostic Performance of a CFD-Based Non-invasive Method for the Diagnosis of Aortic Coarctation
SparNet: A Convolutional Neural Network for EEG Space-Frequency Feature Learning and Depression Discrimination
Events in context - The HED framework for the study of brain, experience and behavior
Mitigating Computer Limitations in Replicating Numerical Simulations of a Neural Network Model With Hodgkin-Huxley-Type Neurons
Parameter Estimation of Two Spiking Neuron Models With Meta-Heuristic Optimization Algorithms
NeuroSuites: An online platform for running neuroscience, statistical, and machine learning tools
An enhanced ant colony optimizer with Cauchy-Gaussian fusion and novel movement strategy for multi-threshold COVID-19 X-ray image segmentation
TheHiveDB image data management and analysis framework
NeuroTessMesh: A Tool for the Generation and Visualization of Neuron Meshes and Adaptive On-the-Fly Refinement
Recurrent Spiking Neural Network Learning Based on a Competitive Maximization of Neuronal Activity
PyParadigm - A Python Library to Build Screens in a Declarative Way
EDEN: A High-Performance, General-Purpose, NeuroML-Based Neural Simulator
Erratum: Development and Reorganization of Orientation Representation in the Cat Visual Cortex: Experience-Dependent Synaptic Rewiring in Early Life
Temporal Code-Driven Stimulation: Definition and Application to Electric Fish Signaling
Efficient federated learning for distributed neuroimaging data
The past, present and future of neuroscience data sharing: a perspective on the state of practices and infrastructure for FAIR
ANSH: Multimodal Neuroimaging Database Including MR Spectroscopic Data From Each Continent to Advance Alzheimer's Disease Research
QUINT: Workflow for Quantification and Spatial Analysis of Features in Histological Images From Rodent Brain
GenNet: A Platform for Hybrid Network Experiments
From End to End: Gaining, Sorting, and Employing High-Density Neural Single Unit Recordings
Accurate Reconstruction of Image Stimuli From Human Functional Magnetic Resonance Imaging Based on the Decoding Model With Capsule Network Architecture
RealNeuralNetworks.jl: An Integrated Julia Package for Skeletonization, Morphological Analysis, and Synaptic Connectivity Analysis of Terabyte-Scale 3D Neural Segmentations
Correction: Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression
Mutual information spectrum for selection of event-related spatial components. Application to eloquent motor cortex mapping
Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies
Assessing the Reliability of Template-Based Clustering for Tractography in Healthy Human Adults
DataViewer3D: An open-source, cross-platform multi-modal neuroimaging data visualization tool
Combining collation and annotation efforts toward completion of the rat and mouse connectomes in BAMS
High Dimensional Classification of Structural MRI Alzheimer's Disease Data Based on Large Scale Regularization
Xolotl: An Intuitive and Approachable Neuron and Network Simulator for Research and Teaching
3D-printer visualization of neuron models
Machine learning for neuroimaging with scikit-learn
Nonconvex Nonlocal Tucker Decomposition for 3D Medical Image Super-Resolution
A Quantitative EEG Toolbox for the MNI Neuroinformatics Ecosystem: Normative SPM of EEG Source Spectra
Neurofitter: a parameter tuning package for a wide range of electrophysiological neuron models
vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis
BRANT: A Versatile and Extendable Resting-State fMRI Toolkit
BCI Control of Heuristic Search Algorithms
Multi-omics integration reveals a six-malignant cell maker gene signature for predicting prognosis in high-risk neuroblastoma
The importance of combining MRI and large-scale digital histology in neuroimaging studies of brain connectivity and disease
Neonatal Brain Tissue Classification with Morphological Adaptation and Unified Segmentation
Bonsai: an event-based framework for processing and controlling data streams
Discovering Effective Connectivity in Neural Circuits: Analysis Based on Machine Learning Methodology
Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study
Editorial: Weakly supervised deep learning-based methods for brain image analysis
A deep learning approach with subregion partition in MRI image analysis for metastatic brain tumor
Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation
Whole Brain Magnetic Resonance Image Atlases: A Systematic Review of Existing Atlases and Caveats for Use in Population Imaging
Decoupling model descriptions from execution: a modular paradigm for extensible neurosimulation with EDEN
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub
Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers
Decoding event-related potentials: single-dose energy dietary supplement acts on earlier brain processes than we thought
Brian2Loihi: An emulator for the neuromorphic chip Loihi using the spiking neural network simulator Brian
odMLtables: A User-Friendly Approach for Managing Metadata of Neurophysiological Experiments
Topographica: building and analyzing map-level simulations from Python, C/C++, MATLAB, NEST, or NEURON components
OpenElectrophy: an electrophysiological data- and analysis-sharing framework
Turbulent dynamics and whole-brain modeling: toward new clinical applications for traumatic brain injury
Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach
Sparse Logistic Regression With L 1/2 Penalty for Emotion Recognition in Electroencephalography Classification
Stimulus Intervals Modulate the Balance of Brain Activity in the Human Primary Somatosensory Cortex: An ERP Study
Derived data storage and exchange workflow for large-scale neuroimaging analyses on the BIRN grid
Embarrassingly Parallel Acceleration of Global Tractography via Dynamic Domain Partitioning
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks
Rxnat: An Open-Source R Package for XNAT-Based Repositories
Developmental Designs and Adult Functions of Cortical Maps in Multiple Modalities: Perception, Attention, Navigation, Numbers, Streaming, Speech, and Cognition
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset
Corrigendum: A Cell Atlas for the Mouse Brain
Validation of Affect-tag Affective and Cognitive Indicators
Embedding Task-Based Neural Models into a Connectome-Based Model of the Cerebral Cortex
Collating and curating neuroanatomical nomenclatures: principles and use of the Brain Architecture Knowledge Management System (BAMS)
FocusStack and StimServer: A new open source MATLAB toolchain for visual stimulation and analysis of two-photon calcium neuronal imaging data
A correlation-based tool for quantifying membrane periodic skeleton associated periodicity
High-throughput neuroimaging-genetics computational infrastructure
Modular toolkit for Data Processing (MDP): a Python data processing framework
Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs
neuPrint: An open access tool for EM connectomics
Robin's Viewer: Using deep-learning predictions to assist EEG annotation
Bio-Swarm-Pipeline: a light-weight, extensible batch processing system for efficient biomedical data processing
Interactive exploration of neuroanatomical meta-spaces
The EBRAINS NeuroFeatureExtract: An Online Resource for the Extraction of Neural Activity Features From Electrophysiological Data
Neuroscience Runs on GNU/Linux
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models
The neuroterrain 3D mouse brain atlas
An Automated Approach for the Detection of Alzheimer's Disease From Resting State Electroencephalography
Generic Machine Learning Pattern for Neuroimaging-Genetic Studies in the Cloud
Extending and using anatomical vocabularies in the stimulating peripheral activity to relieve conditions project
A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons
Arterial Spin Labeling Reveals Disrupted Brain Networks and Functional Connectivity in Drug-Resistant Temporal Epilepsy
Topological Filtering of Dynamic Functional Brain Networks Unfolds Informative Chronnectomics: A Novel Data-Driven Thresholding Scheme Based on Orthogonal Minimal Spanning Trees (OMSTs)
Parallel workflows for data-driven structural equation modeling in functional neuroimaging
The Involvement of Long Non-coding RNA and Messenger RNA Based Molecular Networks and Pathways in the Subacute Phase of Traumatic Brain Injury in Adult Mice
Granger causality is designed to measure effect, not mechanism
Conditional Mutual Information Maps as Descriptors of Net Connectivity Levels in the Brain
WISDoM: Characterizing Neurological Time Series With the Wishart Distribution
Parallel STEPS: Large Scale Stochastic Spatial Reaction-Diffusion Simulation with High Performance Computers
Classification of Alzheimer's Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images
BROCCOLI: Software for fast fMRI analysis on many-core CPUs and GPUs
Hierarchical Event Descriptors (HED): Semi-Structured Tagging for Real-World Events in Large-Scale EEG
Beware (Surprisingly Common) Left-Right Flips in Your MRI Data: An Efficient and Robust Method to Check MRI Dataset Consistency Using AFNI
MEEGIPS - A Modular EEG Investigation and Processing System for Visual and Automated Detection of High Frequency Oscillations
Automated Functional Analysis of Astrocytes from Chronic Time-Lapse Calcium Imaging Data
Evolving Simple Models of Diverse Intrinsic Dynamics in Hippocampal Neuron Types
Interpretable evaluation for the Brunnstrom recovery stage of the lower limb based on wearable sensors
Robust multi-site MR data processing: iterative optimization of bias correction, tissue classification, and registration
A neuroscientist's guide to using murine brain atlases for efficient analysis and transparent reporting
An RBF neural network based on improved black widow optimization algorithm for classification and regression problems
Meet Spinky: An Open-Source Spindle and K-Complex Detection Toolbox Validated on the Open-Access Montreal Archive of Sleep Studies (MASS)
Fiberweb: Diffusion Visualization and Processing in the Browser
Exploring EEG-based motor imagery decoding: a dual approach using spatial features and spectro-spatial Deep Learning model IFNet
Reproducibility of graph metrics of human brain structural networks
Automatic analysis (aa): efficient neuroimaging workflows and parallel processing using Matlab and XML
PyMUS: Python-Based Simulation Software for Virtual Experiments on Motor Unit System
Classification of Fixed Point Network Dynamics from Multiple Node Timeseries Data
DR-IIXRN : Detection Algorithm of Diabetic Retinopathy Based on Deep Ensemble Learning and Attention Mechanism
Isotropic non-white matter partial volume effects in constrained spherical deconvolution
Pyrcca: Regularized Kernel Canonical Correlation Analysis in Python and Its Applications to Neuroimaging
Neural Correlates of Phrase Rhythm: An EEG Study of Bipartite vs. Rondo Sonata Form
Mapping the Connectome: Multi-Level Analysis of Brain Connectivity
Python Executable Script for Estimating Two Effective Parameters to Individualize Brain-Computer Interfaces: Individual Alpha Frequency and Neurophysiological Predictor
Automated analysis and detection of epileptic seizures in video recordings using artificial intelligence
A parameter-optimization framework for neural decoding systems
Automated regional behavioral analysis for human brain images
Energy landscapes of resting-state brain networks
Corrigendum: Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism
Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson's Disease
Deciphering the Morphology of Motor Evoked Potentials
Knowledge Synthesis with Maps of Neural Connectivity
Corrigendum: Complex Dynamics in Simplified Neuronal Models: Reproducing Golgi Cell Electroresponsiveness
Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features
An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload
NeuroPigPen: A Scalable Toolkit for Processing Electrophysiological Signal Data in Neuroscience Applications Using Apache Pig
Exploring white matter dynamics and morphology through interactive numerical phantoms: the White Matter Generator
Reproducible supervised learning-assisted classification of spontaneous synaptic waveforms with Eventer
Sparse Ordinal Logistic Regression and Its Application to Brain Decoding
Intensity Inhomogeneity Correction of Structural MR Images: A Data-Driven Approach to Define Input Algorithm Parameters
The Decoding Toolbox (TDT): a versatile software package for multivariate analyses of functional imaging data
PRANAS: A New Platform for Retinal Analysis and Simulation
An Automatic Estimation of Arterial Input Function Based on Multi-Stream 3D CNN
Generation of synthetic TSPO PET maps from structural MRI images
An Automated Pipeline for the Analysis of PET Data on the Cortical Surface
A midas plugin to enable construction of reproducible web-based image processing pipelines
Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer
Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks
Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression
Extended Invariant Information Clustering Is Effective for Leave-One-Site-Out Cross-Validation in Resting State Functional Connectivity Modeling
The Insight ToolKit image registration framework
APPIAN: Automated Pipeline for PET Image Analysis
Efficient generation of connectivity in neuronal networks from simulator-independent descriptions
Self-Regulation in the Time of Lockdown
Research on ECG signal reconstruction based on improved weighted nuclear norm minimization and approximate message passing algorithm
Reproducibility of Graph Metrics in fMRI Networks
Medical data transformation using rewriting
Reproducible brain PET data analysis: easier said than done
Epileptic seizure prediction based on EEG using pseudo-three-dimensional CNN
Super-resolution microscopy and deep learning methods: what can they bring to neuroscience: from neuron to 3D spine segmentation
An integrated object model and method framework for subject-centric e-Research applications
Comparing the Performance of Two Radiomic Models to Predict Progression and Progression Speed of White Matter Hyperintensities
Sleep: An Open-Source Python Software for Visualization, Analysis, and Staging of Sleep Data
Corrigendum: Harnessing modern web application technology to create intuitive and efficient data visualization and sharing tools
2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data
Interdisciplinary perspectives on the development, integration, and application of cognitive ontologies
Computational morphometry for detecting changes in brain structure due to development, aging, learning, disease and evolution
NeoRS: A Neonatal Resting State fMRI Data Preprocessing Pipeline
Novel hybrid visual stimuli incorporating periodic motions into conventional flickering or pattern-reversal visual stimuli for steady-state visual evoked potential-based brain-computer interfaces
A Framework for Collaborative Curation of Neuroscientific Literature
Large-scale EM data reveals myelinated axonal changes and altered connectivity in the corpus callosum of an autism mouse model
A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps
Complex Dynamics in Simplified Neuronal Models: Reproducing Golgi Cell Electroresponsiveness
A domain adaptation benchmark for T1-weighted brain magnetic resonance image segmentation
A web-portal for interactive data exploration, visualization, and hypothesis testing
Effects of Visual Attentional Load on the Tactile Sensory Memory Indexed by Somatosensory Mismatch Negativity
Fuzzy C-means clustering algorithm applied in computed tomography images of patients with intracranial hemorrhage
Scale-free and oscillatory spectral measures of sleep stages in humans
Curated Model Development Using NEUROiD: A Web-Based NEUROmotor Integration and Design Platform
Modeling of whole brain sleep electroencephalogram using deep oscillatory neural network
Extending Stability Through Hierarchical Clusters in Echo State Networks
ProbeInterface: A Unified Framework for Probe Handling in Extracellular Electrophysiology
Functional Connectivity Changes Across the Spectrum of Subjective Cognitive Decline, Amnestic Mild Cognitive Impairment and Alzheimer's Disease
Reproducibility and Comparability of Computational Models for Astrocyte Calcium Excitability
Exoskeleton-Robot Assisted Therapy in Stroke Patients: A Lesion Mapping Study
Neural system prediction and identification challenge
Predicting the clinical prognosis of acute ischemic stroke using machine learning: an application of radiomic biomarkers on non-contrast CT after intravascular interventional treatment
SEGMA: An Automatic SEGMentation Approach for Human Brain MRI Using Sliding Window and Random Forests
Automated parcellation of the brain surface generated from magnetic resonance images
Identifying discriminative features of brain network for prediction of Alzheimer's disease using graph theory and machine learning
Efficient, distributed and interactive neuroimaging data analysis using the LONI pipeline
Spike sorting of heterogeneous neuron types by multimodality-weighted PCA and explicit robust variational Bayes
Dipy, a library for the analysis of diffusion MRI data
A Novel, Fast, Reliable, and Data-Driven Method for Simultaneous Single-Trial Mining and Amplitude - Latency Estimation Based on Proximity Graphs and Network Analysis
An EEG study of human trust in autonomous vehicles based on graphic theoretical analysis
Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions
Nutil: A Pre- and Post-processing Toolbox for Histological Rodent Brain Section Images
A method for reconstruction of interpretable brain networks from transient synchronization in resting-state BOLD fluctuations
Pycabnn: Efficient and Extensible Software to Construct an Anatomical Basis for a Physiologically Realistic Neural Network Model
Predicting in vitro single-neuron firing rates upon pharmacological perturbation using Graph Neural Networks
Multi-threshold image segmentation for melanoma based on Kapur's entropy using enhanced ant colony optimization