Perceived Image Decoding From Brain Activity Using Shared Information of Multi-Subject fMRI Data

Perceived Image Decoding From Brain Activity Using Shared Information of Multi-Subject fMRI Data

Decoding a person's cognitive contents from evoked brain activity is becoming important in the field of brain-computer interaction. Previous studies have decoded a perceived image from functional magnetic resonance imaging (fMRI) activity by constructing brain decoding models that were trained...

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Bibliographic Details
Main Authors: Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Brain decoding
functional magnetic resonance imaging (fMRI)
multi-subject fMRI data
latent variable model
Bayesian inference
Online Access:https://ieeexplore.ieee.org/document/9349437/

Internet

https://ieeexplore.ieee.org/document/9349437/

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