Explainable fMRI‐based brain decoding via spatial temporal‐pyramid graph convolutional network
Sign Up to like & getrecommendations! Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.26255
Abstract: Brain decoding, aiming to identify the brain states using neural activity, is important for cognitive neuroscience and neural engineering. However, existing machine learning methods for fMRI‐based brain decoding either suffer from low classification performance or… read more here.
Keywords: fmri based; brain; based brain; graph ... See more keywords
Detecting Connected Consciousness During Propofol-Induced Anesthesia Using EEG Based Brain Decoding
Sign Up to like & getrecommendations! Published in 2021 at "International journal of neural systems"
DOI: 10.1142/s0129065721500210
Abstract: Connected consciousness refers to the state when external stimuli can enter into the stream of our consciousness experience. Emerging evidence suggests that although patients may not respond behaviorally to external stimuli during anesthesia, they may… read more here.
Keywords: consciousness; connected consciousness; brain decoding; eeg based ... See more keywords
Interpretability of Multivariate Brain Maps in Linear Brain Decoding: Definition, and Heuristic Quantification in Multivariate Analysis of MEG Time-Locked Effects
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DOI: 10.3389/fnins.2016.00619
Abstract: Brain decoding is a popular multivariate approach for hypothesis testing in neuroimaging. Linear classifiers are widely employed in the brain decoding paradigm to discriminate among experimental conditions. Then, the derived linear weights are visualized in… read more here.
Keywords: brain decoding; interpretability; multivariate brain; brain maps ... See more keywords
fMRI Brain Decoding and Its Applications in Brain–Computer Interface: A Survey
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DOI: 10.3390/brainsci12020228
Abstract: Brain neural activity decoding is an important branch of neuroscience research and a key technology for the brain–computer interface (BCI). Researchers initially developed simple linear models and machine learning algorithms to classify and recognize brain… read more here.
Keywords: computer interface; brain computer; brain; activity decoding ... See more keywords