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Toward Neurally-Inspired Computational Models of Narrative (Invited Talk)

Author Jeffrey M. Zacks



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Jeffrey M. Zacks

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Jeffrey M. Zacks. Toward Neurally-Inspired Computational Models of Narrative (Invited Talk). In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, p. 1, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2014)
https://doi.org/10.4230/OASIcs.CMN.2014.1

Abstract

In the spirit of the neuroscience theme of this year's meeting, I will describe a set of cognitive and neurophysiological phenomena that are important for the processing of narrative text at the discourse level. Text processing depends on sequential structure in language and also in the events that language describes. Semantic representations of events capture perceptual and motor properties of described situations, leveraging previous lived experience. Although a large number of neural systems are involved in processing narrative text, a constrained subset of systems are selectively engaged by discourse-level processing. To bring these phenomena together, I will present a simple neurally-inspired computational model of visual event processing that may provide a helpful analogy for some features of language processing.
Keywords
  • narrative
  • events
  • memory
  • fMRI

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