SEED-G: Simulated EEG Data Generator for Testing Connectivity Algorithms

SEED-G: Simulated EEG Data Generator for Testing Connectivity Algorithms

EEG signals are widely used to estimate brain circuits associated with specific tasks and cognitive processes. The testing of connectivity estimators is still an open issue because of the lack of a ground-truth in real data. Existing solutions such as the generation of simulated data based on a manu...

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Bibliographic Details
Main Authors: Alessandra Anzolin, Jlenia Toppi, Manuela Petti, Febo Cincotti, Laura Astolfi
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
simulated neuro-electrical data
EEG
ground-truth networks
brain connectivity
multivariate autoregressive models
partial directed coherence
Online Access:https://www.mdpi.com/1424-8220/21/11/3632

Internet

https://www.mdpi.com/1424-8220/21/11/3632

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