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    The Compositional Nature of Event Representations in the Human Brain


    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. (2015) The Compositional Nature of Event Representations in the Human Brain. Working Paper. arXiv.

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    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 recognise sentences a different subject thinks of when watching a different video.

    Item Type: Monograph (Working Paper)
    Keywords: Compositional Nature; Event Representations; Human Brain; neuroimaging; classification;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 6274
    Identification Number: arXiv:1505.06670
    Depositing User: Barak Pearlmutter
    Date Deposited: 21 Jul 2015 14:43
    Publisher: arXiv
    Funders: Science Foundation Ireland (SFI), Army Research Laboratory (ARL), Center for Brains, Minds and Machines (CBMM), Mc- Donnell Foundation
    URI:

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