yusuke1997/dblp-id-title huggingface dataset:
An Efficient Cluster-Based Routing Protocol for WSNs Using Time Series Prediction-Based Data Reduction Scheme
Need and Difficulties in Uncertainty of Measurement
Design of EOG Signal Acquisition System Using Virtual Instrumentation: A Cost Effective Approach
Growth and Knowledge Management Strategy of Indian Commercial Banks: A Non-Parametric Approach
A Fuzzy Approach Using Euclidean Geometrical Formulation for Classifying SAR Images
Dielectric Properties Measurement of Biological Materials Using Non-Destructive Sensors
Ticket-Based Fast Handover Authentication Protocol for Wireless Sensor Networks
A Data Acquisition System to Detect Bubble Collapse Time and Pressure Losses in Water Cavitation
Error Estimations for Flow Characterization With Numerical and Analytical Solutions
Implementation of Adaptive Noise Canceller System for Audio-Related Applications
New Approaches of Nanocomposite Materials for Electromagnetic Sensors and Robotics
An Efficient Method for Motor Protection System Control Using Labview
Full Field Imaging Ellipsometry (FFIE) Platform Using CCD Camera and Advanced Software for Simultaneous Spots' Sensing and Measurement
Measurement Uncertainty in Decision-Making: How to Take Reliable Decisions Under Uncertainty
Generation of Patterns From Concentric Ring Arrays With Dipoles and Waveguides
Spectrum Analysis of Sidebands in Industrial Drives
Monitoring of Road Deicers in a Retention Pond
In silico analyses of the involvement of GPR55, CB1R and TRPV1: response to THC, contribution to temporal lobe epilepsy, structural modeling and updated evolution
A Brief History of Simulation Neuroscience
BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python
pySPACE - a signal processing and classification environment in Python
Advances in Astrocyte Computational Models: From Metabolic Reconstructions to Multi-omic Approaches
An Automated Open-Source Workflow for Standards-Compliant Integration of Small Animal Magnetic Resonance Imaging Data
Corrigendum: Impact of functional MRI data preprocessing pipeline on default-mode network detectability in patients with disorders of consciousness
Simulation of Large Scale Neural Models With Event-Driven Connectivity Generation
Effect of subthalamic coordinated reset deep brain stimulation on Parkinsonian gait
Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies
A Bottom-up Approach to Data Annotation in Neurophysiology
Machine Learning Techniques for the Diagnosis of Schizophrenia Based on Event-Related Potentials
Epileptic brain imaging by source localization CLARA supported by ictal-based semiology and VEEG in resource-limited settings
Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements
AuthorSynth: a collaboration network and behaviorally-based visualization tool of activation reports from the neuroscience literature
CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning
Electronic Data Capture, Representation, and Applications for Neuroimaging
Pycortex: an interactive surface visualizer for fMRI
Golgi: Interactive Online Brain Mapping
A knowledge based approach to matching human neurodegenerative disease and animal models
Modeling the Sequential Pattern Variability of the Electromotor Command System of Pulse Electric Fish
Spatial Localization of EEG Electrodes in a TOF+CCD Camera System
PyMVPA: a unifying approach to the analysis of neuroscientific data
MP3: Medical Software for Processing Multi-Parametric Images Pipelines
Stimfit: quantifying electrophysiological data with Python
Robust Monte-Carlo Simulations in Diffusion-MRI: Effect of the Substrate Complexity and Parameter Choice on the Reproducibility of Results
Editorial: Collaborative Efforts for Understanding the Human Brain
Connectomes: from a sparsity of networks to large-scale databases
Perfect Detection of Spikes in the Linear Sub-threshold Dynamics of Point Neurons
Empirical comparison of deep learning models for fNIRS pain decoding
A Multi-Scale Computational Model of Excitotoxic Loss of Dopaminergic Cells in Parkinson's Disease
An optimized framework for processing multicentric polysomnographic data incorporating expert human oversight
Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment
Mapping transient hyperventilation induced alterations with estimates of the multi-scale dynamics of BOLD signal
Editorial: Brain Modeling of Neurogenerative Disorders
3D Segmentation of Perivascular Spaces on T1-Weighted 3 Tesla MR Images With a Convolutional Autoencoder and a U-Shaped Neural Network
The International Neuromodulation Registry: An Informatics Framework Supporting Cohort Discovery and Analysis
Automated Neuroanatomical Relation Extraction: A Linguistically Motivated Approach with a PVT Connectivity Graph Case Study
Quantitative evaluation method of stroke association based on multidimensional gait parameters by using machine learning
Tracing Activity Across the Whole Brain Neural Network with Optogenetic Functional Magnetic Resonance Imaging
Real-time multi-peak tractography for instantaneous connectivity display
Deep Learning Methods to Process fMRI Data and Their Application in the Diagnosis of Cognitive Impairment: A Brief Overview and Our Opinion
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks
The LONI QC System: A Semi-Automated, Web-Based and Freely-Available Environment for the Comprehensive Quality Control of Neuroimaging Data
Event-Based Update of Synapses in Voltage-Based Learning Rules
PyNeval: A Python Toolbox for Evaluating Neuron Reconstruction Performance
Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture
Automatic fitting of spiking neuron models to electrophysiological recordings
Quantifying evoked responses through information-theoretical measures
Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions
Multi-scale integration and predictability in resting state brain activity
Analysis of Alzheimer's Disease Based on the Random Neural Network Cluster in fMRI
MonkeyCBP: A Toolbox for Connectivity-Based Parcellation of Monkey Brain
A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China
CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes
Factorized discriminant analysis for genetic signatures of neuronal phenotypes
Distributed XQuery-based integration and visualization of multimodality brain mapping data
Canonical information flow decomposition among neural structure subsets
Automatic Optimization of the Computation Graph in the Nengo Neural Network Simulator
Corrigendum: Data Citation in Neuroimaging: Proposed Best Practices for Data Identification and Attribution
Variational Bayesian causal connectivity analysis for fMRI
Supervised Estimation of Granger-Based Causality between Time Series
The hemodynamic response function as a type 2 diabetes biomarker: a data-driven approach
BOLD Monitoring in the Neural Simulator ANNarchy
State-dependent modulation of thalamocortical oscillations by gamma light flicker with different frequencies, intensities, and duty cycles
Data management routines for reproducible research using the G-Node Python Client library
Allen Brain Atlas-Driven Visualizations: a web-based gene expression energy visualization tool
Editorial: Neuroinformatics of large-scale brain modelling
Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute
Human-Avatar Symbiosis for the Treatment of Auditory Verbal Hallucinations in Schizophrenia through Virtual/Augmented Reality and Brain-Computer Interfaces
Comparing the Electrophysiology and Morphology of Human and Mouse Layer 2/3 Pyramidal Neurons With Bayesian Networks
Novel Hybrid Brain-Computer Interface for Virtual Reality Applications Using Steady-State Visual-Evoked Potential-Based Brain-Computer Interface and Electrooculogram-Based Eye Tracking for Increased Information Transfer Rate
NeuroDecodeR: a package for neural decoding in R
Integrated workflows for spiking neuronal network simulations
TVB-EduPack - An Interactive Learning and Scripting Platform for The Virtual Brain
Net2Brain: a toolbox to compare artificial vision models with human brain responses
BrainQuake: An Open-Source Python Toolbox for the Stereoelectroencephalography Spatiotemporal Analysis
Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity
Multiscale co-simulation design pattern for neuroscience applications
Whom to Believe? Understanding and Modeling Brain Activity in Source Credibility Evaluation
Microstructural Analysis of Human White Matter Architecture Using Polarized Light Imaging: Views from Neuroanatomy
EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis
Data Driven Classification Using fMRI Network Measures: Application to Schizophrenia
Learning Brain Connectivity Sub-networks by Group- Constrained Sparse Inverse Covariance Estimation for Alzheimer's Disease Classification
Magia: Robust Automated Image Processing and Kinetic Modeling Toolbox for PET Neuroinformatics
Enhancing human activity recognition for the elderly and individuals with disabilities through optimized Internet-of-Things and artificial intelligence integration with advanced neural networks
Alteration of brain nuclei in obese children with and without Prader-Willi syndrome
The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery
Exploiting Multi-Level Parallelism for Stitching Very Large Microscopy Images
Automatic segmentation of hemorrhagic transformation on follow-up non-contrast CT after acute ischemic stroke
A Python analytical pipeline to identify prohormone precursors and predict prohormone cleavage sites
Signal propagation in cortical networks: a digital signal processing approach
Estimation of Emotional Arousal Changes of a Group of Individuals During Movie Screening Using Steady-State Visual-Evoked Potential
Exploring EEG Effective Connectivity Network in Estimating Influence of Color on Emotion and Memory
A comparison of methods to determine neuronal phase-response curves
Estimating Neural Response Functions from fMRI
An Efficient Simulation Environment for Modeling Large-Scale Cortical Processing
The BrainHealth Databank: a systems approach to data-driven mental health care and research
Adaptive, Multisensorial, Physiological and Social: The Next Generation of Telerehabilitation Systems
Application of neuroanatomical ontologies for neuroimaging data annotation
Bridging neuroscience and AI: a survey on large language models for neurological signal interpretation
A generalized deep learning network for fractional anisotropy reconstruction: Application to epilepsy and multiple sclerosis
Contrastive self-supervised learning for neurodegenerative disorder classification
A variant of sparse partial least squares for variable selection and data exploration
Polynomial, piecewise-Linear, Step (PLS): A Simple, Scalable, and Efficient Framework for Modeling Neurons
Analyzing Complex Problem Solving by Dynamic Brain Networks
The CAMH Neuroinformatics Platform: A Hospital-Focused Brain-CODE Implementation
Regional Brain Fusion: Graph Convolutional Network for Alzheimer's Disease Prediction and Analysis
Transcranial Magnetic Stimulation to the Middle Frontal Gyrus During Attention Modes Induced Dynamic Module Reconfiguration in Brain Networks
An automated and reproducible workflow for running and analyzing neural simulations using Lancet and IPython Notebook
From Coarse to Fine-Grained Parcellation of the Cortical Surface Using a Fiber-Bundle Atlas
Chronic jet lag-like conditions dysregulate molecular profiles of neurological disorders in nucleus accumbens and prefrontal cortex
A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy
Epileptic Seizure Detection Based on EEG Signals and CNN
A novel CPU/GPU simulation environment for large-scale biologically realistic neural modeling
On the Minimal Amount of EEG Data Required for Learning Distinctive Human Features for Task-Dependent Biometric Applications
The Open Anatomy Browser: A Collaborative Web-Based Viewer for Interoperable Anatomy Atlases
MEG and fMRI fusion for nonlinear estimation of neural and BOLD signal changes
Evaluation of Task fMRI Decoding With Deep Learning on a Small Sample Dataset
Brain extraction using the watershed transform from markers
Prediction of Pilot's Reaction Time Based on EEG Signals
MRI Mouse Brain Data of Ischemic Lesion after Transient Middle Cerebral Artery Occlusion
BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures
Decoding Steady-State Visual Evoked Potentials From Electrocorticography
Neuroimaging, Genetics, and Clinical Data Sharing in Python Using the CubicWeb Framework
Advancements in deep learning for early diagnosis of Alzheimer's disease using multimodal neuroimaging: challenges and future directions
Dynamic topological data analysis: a novel fractal dimension-based testing framework with application to brain signals
Modeling Behavioral Experiment Interaction and Environmental Stimuli for a Synthetic C. elegans
Automatically Selecting a Suitable Integration Scheme for Systems of Differential Equations in Neuron Models
LFPy: a tool for biophysical simulation of extracellular potentials generated by detailed model neurons
A Manual Segmentation Tool for Three-Dimensional Neuron Datasets
IntrAnat Electrodes: A Free Database and Visualization Software for Intracranial Electroencephalographic Data Processed for Case and Group Studies
Meeting the Memory Challenges of Brain-Scale Network Simulation
Automated collection of imaging and phenotypic data to centralized and distributed data repositories
LORIS: a web-based data management system for multi-center studies
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques
PyMVPD: A Toolbox for Multivariate Pattern Dependence
Enabling uncertainty estimation in neural networks through weight perturbation for improved Alzheimer's disease classification
Customizable automated cleaning of multichannel sleep EEG in SleepTrip
Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data
Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies
Disruption of transfer entropy and inter-hemispheric brain functional connectivity in patients with disorder of consciousness
Reproducing Polychronization: A Guide to Maximizing the Reproducibility of Spiking Network Models
Mining the mind research network: a novel framework for exploring large scale, heterogeneous translational neuroscience research data sources
Evaluation of Field Map and Nonlinear Registration Methods for Correction of Susceptibility Artifacts in Diffusion MRI
Local Label Point Correction for Edge Detection of Overlapping Cervical Cells
Neo: an object model for handling electrophysiology data in multiple formats
NEVESIM: event-driven neural simulation framework with a Python interface
Bookreview of principles of data integration
Informatics and Data Mining Tools and Strategies for the Human Connectome Project
Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space
Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience
Functional connectivity-based parcellation and connectome of cortical midline structures in the mouse: a perfusion autoradiography study
SEEG4D: a tool for 4D visualization of stereoelectroencephalography data
Three-dimensional atlas system for mouse and rat brain imaging data
Inter-subject correlation of brain hemodynamic responses during watching a movie: localization in space and frequency
Accumulated source imaging of brain activity with both low and high-frequency neuromagnetic signals
A study on the clusterability of latent representations in image pipelines
A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics
Using SPM 12's Second-Level Bayesian Inference Procedure for fMRI Analysis: Practical Guidelines for End Users
Comparing Open-Source Toolboxes for Processing and Analysis of Spike and Local Field Potentials Data
Editorial: Reproducibility and Rigour in Computational Neuroscience
An efficient, scalable, and adaptable framework for solving generic systems of level-set PDEs
Disrupted Rich Club Organization of Hemispheric White Matter Networks in Bipolar Disorder
On Shapley Ratings in Brain Networks
Splash: A Software Tool for Stereotactic Planning of Recording Chamber Placement and Electrode Trajectories
Primary Categorizing and Masking Cerebral Small Vessel Disease Based on "Deep Learning System"
Toward an Improvement of the Analysis of Neural Coding
A numerical population density technique for N-dimensional neuron models
High-throughput neuro-imaging informatics
Developing a multiscale neural connectivity knowledgebase of the autonomic nervous system
Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation
Fitting Splines to Axonal Arbors Quantifies Relationship Between Branch Order and Geometry
Corrigendum: Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers
Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series
Intra-V1 functional networks and classification of observed stimuli
ALE meta-analysis workflows via the BrainMap database: progress towards a probabilistic functional brain atlas
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction
Time-Frequency Representations of Brain Oscillations: Which One Is Better?
LLRHNet: Multiple Lesions Segmentation Using Local-Long Range Features
Comparison of Resampling Techniques for Imbalanced Datasets in Machine Learning: Application to Epileptogenic Zone Localization From Interictal Intracranial EEG Recordings in Patients With Focal Epilepsy
Hierarchical modularity in human brain functional networks
Editorial: APPNING: Animal Population Imaging
Co-optimization Learning Network for MRI Segmentation of Ischemic Penumbra Tissues
Digitoids: a novel computational platform for mimicking oxygen-dependent firing of neurons in vitro
Classification of Electrophysiological Signatures With Explainable Artificial Intelligence: The Case of Alarm Detection in Flight Simulator
Recognition of Electroencephalography-Related Features of Neuronal Network Organization in Patients With Schizophrenia Using the Generalized Choquet Integrals
Visualization of documents and concepts in neuroinformatics with the 3D-SE viewer
Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study
Cortical hubs form a module for multisensory integration on top of the hierarchy of cortical networks
Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets
bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease
CBRAIN: a web-based, distributed computing platform for collaborative neuroimaging research
A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI
The Design of SimpleITK
Intra- and Inter-Scanner Reliability of Voxel-Wise Whole-Brain Analytic Metrics for Resting State fMRI
Novel Technological Solutions for Assessment, Treatment, and Assistance in Mild Cognitive Impairment
Editorial: Physical neuromorphic computing and its industrial applications
PyNEST: a convenient interface to the NEST simulator
Classification of Obsessive-Compulsive Disorder Using Distance Correlation on Resting-State Functional MRI Images
Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging
Differential Entropy Preserves Variational Information of Near-Infrared Spectroscopy Time Series Associated With Working Memory
A Segmentation Scheme for Complex Neuronal Arbors and Application to Vibration Sensitive Neurons in the Honeybee Brain
Better Diffusion Segmentation in Acute Ischemic Stroke Through Automatic Tree Learning Anomaly Segmentation
Quantitative Determination of Cellular-and Neurite Motility Speed in Dense Cell Cultures
Reproducible Neural Network Simulations: Statistical Methods for Model Validation on the Level of Network Activity Data
Efficient simulation of neural development using shared memory parallelization
Editorial: Cortical Maps: Data and Models
ATPP: A Pipeline for Automatic Tractography-Based Brain Parcellation
Detecting Multiple Change Points Using Adaptive Regression Splines With Application to Neural Recordings
Large-scale automated image analysis for computational profiling of brain tissue surrounding implanted neuroprosthetic devices using Python
Domain adaptation for EEG-based, cross-subject epileptic seizure prediction
Unsupervised Cerebrovascular Segmentation of TOF-MRA Images Based on Deep Neural Network and Hidden Markov Random Field Model
Spectral graph convolutional neural network for Alzheimer's disease diagnosis and multi-disease categorization from functional brain changes in magnetic resonance images
Automated Ischemic Lesion Segmentation in MRI Mouse Brain Data after Transient Middle Cerebral Artery Occlusion
Dilated Dense U-Net for Infant Hippocampus Subfield Segmentation
Unsupervised Idealization of Ion Channel Recordings by Minimum Description Length: Application to Human PIEZO1-Channels
DTIPrep: quality control of diffusion-weighted images
Adopting Text Mining on Rehabilitation Therapy Repositioning for Stroke
Technical integration of hippocampus, basal ganglia and physical models for spatial navigation
A Mutual Information Approach to Automate Identification of Neuronal Clusters in Drosophila Brain Images
Artificial intelligence role in advancement of human brain connectome studies
Brainlab: a Python toolkit to aid in the design, simulation, and analysis of spiking neural networks with the NeoCortical Simulator
The Virtual Brain: a simulator of primate brain network dynamics
Neuroscience Information Toolbox: An Open Source Toolbox for EEG-fMRI Multimodal Fusion Analysis
A review of multivariate analyses in imaging genetics
Digital Atlas of Anatomical Subdivisions and Boundaries of the Rat Hippocampal Region
Challenges and Future Perspectives on Electroencephalogram-Based Biometrics in Person Recognition
SynSpine: an automated workflow for the generation of longitudinal spinal cord synthetic MRI data
Draculab: A Python Simulator for Firing Rate Neural Networks With Delayed Adaptive Connections
Machine learning-based infection prediction model for newly diagnosed multiple myeloma patients
Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data
Integrating Visualizations into Modeling NEST Simulations
Gene Prioritization for Imaging Genetics Studies Using Gene Ontology and a Stratified False Discovery Rate Approach
A General Procedure to Study Subcellular Models of Transsynaptic Signaling at Inhibitory Synapses
Temporal and spatial dynamic propagation of electroencephalogram by combining power spectral and synchronization in childhood absence epilepsy
Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning Machine
Intradialytic hypotension prediction using covariance matrix-driven whale optimizer with orthogonal structure-assisted extreme learning machine