Connectivity Estimation

7 papers with code • 0 benchmarks • 2 datasets

This task has no description! Would you like to contribute one?

Most implemented papers

Caulking the Leakage Effect in MEEG Source Connectivity Analysis

dpazlinares/BC-VARETA 28 Sep 2018

Simplistic estimation of neural connectivity in MEEG sensor space is impossible due to volume conduction.

Learning to Cluster Faces via Confidence and Connectivity Estimation

yl-1993/learn-to-cluster CVPR 2020

With the vertex confidence and edge connectivity, we can naturally organize more relevant vertices on the affinity graph and group them into clusters.

A Constrained, Weighted-L1 Minimization Approach for Joint Discovery of Heterogeneous Neural Connectivity Graphs

QData/SIMULE arXiv 2017

Determining functional brain connectivity is crucial to understanding the brain and neural differences underlying disorders such as autism.

Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings

tigerwlin/diffCov 8 Jun 2017

In all of our simulated data, the differential covariance-based methods achieved better or similar performance to the GLM method and required fewer data samples.

Online neural connectivity estimation with ensemble stimulation

pearsonlab/BinaryStim NeurIPS 2020

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 organisms.

Capacitance Resistance Model and Recurrent Neural Network for Well Connectivity Estimation : A Comparison Study

deepthisen/capacitanceresistancemodel 17 Sep 2021

This report serves as a technical guide to the python-based implementation of the CRM model available from the associated GitHub repository.

Local Connectivity-Based Density Estimation for Face Clustering

illian01/lce-pcenet CVPR 2023

For this purpose, we propose a reliable density estimation algorithm based on local connectivity between K nearest neighbors (KNN).