Feature Signatures (participant P1)
you may view the learned fMRI signatures for each of the 25
intermediate semantic features, according to the
computational model learned for participant P1. These 25
the basis set of fMRI activation patterns upon which all
model predictions are based; that is, the prediction for
each noun is the sum of these 25 fMRI activation patterns,
each weighted by the co-occurrence frequency of the stimulus
noun with the verb that defines the semantic feature.
Select an intermediate semantic feature:
Learned signature for intermediate semantic feature: "say said says"
Slices depict 3D image from most inferior (top left) to most superior (bottom right). Posterior is up, anterior is down. Left side of brain is on the left of each image.