We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject's behavior ...

We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject's behavior ...

It is shown that in general Ward's clustering performs better than alternative methods with regard to reproducibility and accuracy and that the two criteria ...

We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject's behavior ...

Bibliographic details on A supervised clustering approach for fMRI-based inference of brain states.

A supervised clustering approach for fMRI-based inference of brain states. https://doi.org/10.1016/j.patcog.2011.04.006 · Full text. Journal: Pattern ...

We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject's behavior ...

TL;DR: A method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging to predict the subject's behavior during a ...

We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject's behavior ...

Jul 19, 2010 · In this article, we develop spatial models that rely on hierarchical clustering to improve fMRI-based decod- ... brain states from fMRI data: ...