Barbu, Andrei and Siddharth, N. and Xiong, Caiming and Corso, Jason J. and Fellbaum, Christiane D. and Hanson, Catherine and Hanson, Stephen Jose and Helie, Sebastien and Malaia, Evguenia and Pearlmutter, Barak A. and Siskind, Jeffrey Mark and Talavage, Thomas Michael and Wilbur, Ronnie B.
(2013)
The Compositional Nature of Verb and Argument
Representations in the Human Brain.
Technical Report.
arXiv.
Abstract
How does the human brain represent simple compositions of objects, actors, and
actions? We had subjects view action sequence videos during neuroimaging
(fMRI) sessions and identified lexical descriptions of those videos by decoding
(SVM) the brain representations based only on their fMRI activation patterns. As
a precursor to this result, we had demonstrated that we could reliably and with
high probability decode action labels corresponding to one of six action videos
(dig, walk, etc.), again while subjects viewed the action sequence during scanning
(fMRI). This result was replicated at two different brain imaging sites with
common protocols but different subjects, showing common brain areas, including
areas known for episodic memory (PHG, MTL, high level visual pathways, etc.,
i.e., the ‘what’ and ‘where’ systems, and TPJ, i.e., ‘theory of mind’). Given these
results, we were also able to successfully show a key aspect of language compositionality
based on simultaneous decoding of object class and actor identity.
Finally, combining these novel steps in ‘brain reading’ allowed us to accurately
estimate brain representations supporting compositional decoding of a complex
event composed of an actor, a verb, a direction, and an object.
Item Type: |
Monograph
(Technical Report)
|
Keywords: |
Compositional Nature; Verb; Argument Representations; Human Brain; neuroimaging; |
Academic Unit: |
Faculty of Science and Engineering > Computer Science |
Item ID: |
6557 |
Identification Number: |
arXiv:1306.2293 |
Depositing User: |
Barak Pearlmutter
|
Date Deposited: |
10 Nov 2015 17:13 |
Publisher: |
arXiv |
URI: |
|
Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
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