DeepAI AI Chat
Log In Sign Up

Proceedings of the Workshop on Brain Analysis using COnnectivity Networks - BACON 2016

11/10/2016
by   Sarah Parisot, et al.
0

Understanding brain connectivity in a network-theoretic context has shown much promise in recent years. This type of analysis identifies brain organisational principles, bringing a new perspective to neuroscience. At the same time, large public databases of connectomic data are now available. However, connectome analysis is still an emerging field and there is a crucial need for robust computational methods to fully unravelits potential. This workshop provides a platform to discuss the development of new analytic techniques; methods for evaluating and validating commonly used approaches; as well as the effects of variations in pre-processing steps.

READ FULL TEXT
04/28/2022

Topological Data Analysis for Multivariate Time Series Data

Over the last two decades, topological data analysis (TDA) has emerged a...
07/18/2020

Using EEG-based brain connectivity for the study of brain dynamics in brain-computer interfaces

The analysis of brain connectivity aims to understand the emergence of f...
05/25/2018

Bayesian estimation for large scale multivariate Ornstein-Uhlenbeck model of brain connectivity

Estimation of reliable whole-brain connectivity is a crucial step toward...
05/12/2021

CCN GAC Workshop: Issues with learning in biological recurrent neural networks

This perspective piece came about through the Generative Adversarial Col...
04/20/2021

Extraction of Hierarchical Functional Connectivity Components in human brain using Adversarial Learning

The estimation of sparse hierarchical components reflecting patterns of ...
02/21/2019

Exploration, inference and prediction in neuroscience and biomedicine

The last decades saw dramatic progress in brain research. These advances...