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courses:rg:predicting_human_brain_activity_associated_with_the_meanings_of_nouns [2011/09/11 01:10] ufal |
courses:rg:predicting_human_brain_activity_associated_with_the_meanings_of_nouns [2011/09/11 02:05] ufal |
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| * authors present a computational model, which predicts the functional magnetic resonance imaging (fMRI) of neural activation associated with words for which no fMRI data are available | * authors present a computational model, which predicts the functional magnetic resonance imaging (fMRI) of neural activation associated with words for which no fMRI data are available | ||
| * fMRI prediction for a word '' | * fMRI prediction for a word '' | ||
| - | | + | |
| - | * Nečíslovaný seznam | + | * 25 features are defined in terms of co-occurrence of '' |
| + | - predict neural fMRI activation as a weighted sum of semantic features | ||
| + | * weights for every voxel (3D pixel) and feature are estimated using multiple regression | ||
| + | * fMRI data | ||
| + | * they created 60 representative fMRI images | ||
| + | * word - picture combination from 12 semantic categories | ||
| + | * they measured brain activation of 9 participants after being exposed to all 60 word - picture combinations | ||
| + | * evaluation | ||
| + | * they carried out " | ||
| ===== Suggested Additional Reading ===== | ===== Suggested Additional Reading ===== | ||