Noise tolerance and information spreading in MEG source estimation using a structured Bayesian model with hierarchical prior

Kai Miyazaki

[2O04m2-03] Noise tolerance and information spreading in MEG source estimation using a structured Bayesian model with hierarchical prior

*Kai Miyazaki¹, Shun Nirasawa¹, Kazuaki Akamatsu¹, Okito Yamashita^2,3, Yoichi Miyawaki¹ (1. The University of Electro-Communications, 2. Advanced Telecommunications Research Institutes International, 3. RIKEN Center for Advanced Intelligence Project)

Keywords:MEG, SOURCE LOCALIZATION, MACHINE LEARNING, DECODING

Abstract password authentication.
A password is required to view the full text of the abstract. Please enter the following password.

PW: Neuro2022

Presentation information

[2O04m2] Learning Theory / Neural Network Modeling and Artificial Intelligence 1

[2O04m2-03] Noise tolerance and information spreading in MEG source estimation using a structured Bayesian model with hierarchical prior

Password