Papers Connectivity Estimation
“Connectivity Estimation” 태그가 달린 논문 25편 · 필터 해제
ARMO: Autoregressive Rigging for Multi-Category Objects
Recent advancements in large-scale generative models have significantly improved the quality and diversity of 3D shape generation. However, most existing methods focus primarily on generating static 3D models, overlookin…
3D Shape GenerationConnectivity EstimationBrain Effective Connectivity Estimation via Fourier Spatiotemporal Attention
Estimating brain effective connectivity (EC) from functional magnetic resonance imaging (fMRI) data can aid in comprehending the neural mechanisms underlying human behavior and cognition, providing a foundation for disea…
Connectivity EstimationImplication of modelling choices on connectivity estimation: A comparative analysis
We focus on connectivity methods used to understand and predict how landscapes and habitats facilitate or impede the movement and dispersal of species. Our objective is to compare the implication of methodological choice…
Connectivity EstimationBayesian Functional Connectivity and Graph Convolutional Network for Working Memory Load Classification
Brain responses related to working memory originate from distinct brain areas and oscillate at different frequencies. EEG signals with high temporal correlation can effectively capture these responses. Therefore, estimat…
ClassificationConnectivity EstimationEEGFunctional ConnectivityBDHT: Generative AI Enables Causality Analysis for Mild Cognitive Impairment
Effective connectivity estimation plays a crucial role in understanding the interactions and information flow between different brain regions. However, the functional time series used for estimating effective connectivit…
Connectivity EstimationDenoisingNoise EstimationGeneralized Power Iteration with Application to Distributed Connectivity Estimation of Asymmetric Networks
The problem of connectivity assessment in an asymmetric network represented by a weighted directed graph is investigated in this article. A power iteration algorithm in a centralized implementation is developed first to …
Connectivity EstimationBrain Imaging-to-Graph Generation using Adversarial Hierarchical Diffusion Models for MCI Causality Analysis
Effective connectivity can describe the causal patterns among brain regions. These patterns have the potential to reveal the pathological mechanism and promote early diagnosis and effective drug development for cognitive…
Connectivity EstimationDenoisingGenerative Adversarial NetworkGraph Generation+1Online functional connectivity analysis of large all-to-all networks
The analysis of EEG/MEG functional connectivity has become an important tool in neural research. Especially the high time resolution of EEG/MEG enables important insight into the functioning of the human brain. To date, …
AllConnectivity EstimationEEGElectroencephalogram (EEG)+1Local Connectivity-Based Density Estimation for Face Clustering
Recent graph-based face clustering methods predict the connectivity of enormous edges, including false positive edges that link nodes with different classes. However, those false positive edges, which connect negativ…
ClusteringConnectivity EstimationDensity EstimationFace Clustering+1Granger Causality for Compressively Sensed Sparse Signals
Compressed sensing is a scheme that allows for sparse signals to be acquired, transmitted and stored using far fewer measurements than done by conventional means employing Nyquist sampling theorem. Since many naturally o…
Causal Inferencecompressed sensingConnectivity EstimationQuantum State TomographyParameter Estimation in Ill-conditioned Low-inertia Power Systems
This paper examines model parameter estimation in dynamic power systems whose governing electro-mechanical equations are ill-conditioned or singular. This ill-conditioning is because of converter-interfaced power systems…
Connectivity Estimationparameter estimationDeep Dynamic Effective Connectivity Estimation from Multivariate Time Series
Recently, methods that represent data as a graph, such as graph neural networks (GNNs) have been successfully used to learn data representations and structures to solve classification and link prediction problems. The ap…
Connectivity EstimationLink PredictionTime SeriesTime Series AnalysisCapacitance Resistance Model and Recurrent Neural Network for Well Connectivity Estimation : A Comparison Study
In this report, two commonly used data-driven models for predicting well production under a waterflood setting: the capacitance resistance model (CRM) and recurrent neural networks (RNN) are compared. Both models are com…
Connectivity EstimationAttend to connect: end-to-end brain functional connectivity estimation
Functional connectivity (FC) studies have demonstrated the benefits of investigating the brain and its disorders through the undirected weighted graph of fMRI correlation matrix. Most of the work with the FC, however, de…
Connectivity EstimationFunctional ConnectivityImproving J-divergence of brain connectivity states by graph Laplacian denoising
Functional connectivity (FC) can be represented as a network, and is frequently used to better understand the neural underpinnings of complex tasks such as motor imagery (MI) detection in brain-computer interfaces (BCIs)…
Connectivity EstimationDenoisingEEGElectroencephalogram (EEG)+2Distance Correlation Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies
Resting-state functional magnetic resonance imaging (rs-fMRI)-derived functional connectivity patterns have been extensively utilized to delineate global functional organization of the human brain in health, development,…
Connectivity EstimationFunctional ConnectivityMulti-Task LearningOnline neural connectivity estimation with ensemble stimulation
One of the primary goals of systems neuroscience is to relate the structure of neural circuits to their function, yet patterns of connectivity are difficult to establish when recording from large populations in behaving …
Bayesian Inferencecompressed sensingConnectivity EstimationFunctional ConnectivityConnectivity estimation of high dimensional data recorded from neuronal cells
The main result of this thesis is the development of a novel connectivity estimation method, called Total Spiking Probability Edges (TSPE). Based on cross-correlation and edge filtering at different time scales this meth…
Connectivity EstimationVocal Bursts Intensity PredictionLearning to Cluster Faces via Confidence and Connectivity Estimation
Face clustering is an essential tool for exploiting the unlabeled face data, and has a wide range of applications including face annotation and retrieval. Recent works show that supervised clustering can result in notice…
ClusteringConnectivity EstimationFace ClusteringRetrievalImpact of the reference choice on scalp EEG connectivity estimation
Several scalp EEG functional connectivity studies, mostly clinical, seem to overlook the reference electrode impact. The subsequent interpretation of brain connectivity is thus often biased by the choice a non-neutral re…
Connectivity EstimationEEGElectroencephalogram (EEG)Functional Connectivity