Name
Title | ||
|---|---|---|
Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation |
Abstract | ||
|---|---|---|
We present a method for distinguishing two subtly different mental states, on the basis of the underlying brain activation measured with fMRI. The method uses a classifier to learn to distinguish between brain activation in a set of selected voxels (volume elements) during the processing of two types of sentences, namely ambiguous versus unambiguous sentences. The classifier is then used to distinguish the two states in untrained instances. The method can be generalized to accomplish knowledge discovery in cases where the contrasting brain activation profiles are not known a priori. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1007/3-540-44794-6_31 | PKDD |
Keywords | Field | DocType |
selected voxels,distinguishing natural language processes,volume element,unambiguous sentence,knowledge discovery,brain activation profile,subtly different mental state,untrained instance,underlying brain activation,fmri-measured brain activation,brain activation,natural language processing | Voxel,Sentence processing,Pattern recognition,Blood-oxygen-level dependent,Computer science,Support vector machine,A priori and a posteriori,Natural language,Knowledge extraction,Artificial intelligence,Classifier (linguistics),Machine learning | Conference |
ISBN | Citations | PageRank |
3-540-42534-9 | 1 | 0.62 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francisco Pereira | 1 | 678 | 51.37 |
| Marcel Just | 2 | 476 | 75.67 |
| Tom M. Mitchell | 3 | 7160 | 1946.42 |