The Compositional Nature of Event Representations in the Human Brain
Name
CBMM-Memo-011.pdf
Size
3.95 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Barbu, Andrei
Narayanaswamy, Siddharth
Xiong, Caiming
Corso, Jason J.
Fellbaum, Christiane D.
Hanson, Catherine
Hanson, Stephen Jose
Helie, Sebastien
Malaia, Evguenia
Pearlmutter, Barak A.
Date Issued
July 14, 2014
Publisher
Center for Brains, Minds and Machines (CBMM), arXiv
Citation
arXiv:1505.06670v1
Series/Report no.
CBMM Memo Series;011
Abstract
How does the human brain represent simple compositions of constituents: actors, verbs, objects, directions, and locations? Subjects viewed videos during neuroimaging (fMRI) sessions from which sentential descriptions of those videos were identified by decoding the brain representations based only on their fMRI activation patterns. Constituents (e.g., fold and shirt) were independently decoded from a single presentation. Independent constituent classification was then compared to joint classification of aggregate concepts (e.g., fold -shirt); results were similar as measured by accuracy and correlation. The brain regions used for independent constituent classification are largely disjoint and largely cover those used for joint classification. This allows recovery of sentential descriptions of stimulus videos by composing the results of the independent constituent classifiers. Furthermore, classifiers trained on the words one set of subjects think of when watching a video can recognize sentences a different subject thinks of when watching a different video.
Subjects
Computer Language
Linguistics
Language
Neuroscience
Vision and Language
Terms of Use
Attribution-NonCommercial 3.0 United States
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