• Media type: E-Article
  • Title: Amplification of local changes along the timescale processing hierarchy
  • Contributor: Yeshurun, Yaara; Nguyen, Mai; Hasson, Uri
  • Published: Proceedings of the National Academy of Sciences, 2017
  • Published in: Proceedings of the National Academy of Sciences, 114 (2017) 35, Seite 9475-9480
  • Language: English
  • DOI: 10.1073/pnas.1701652114
  • ISSN: 0027-8424; 1091-6490
  • Origination:
  • Footnote:
  • Description: Significance Changing a few words in a story can drastically alter the interpretation of the narrative. How does the brain amplify sparse changes in word selection to create a unique neural representation for each narrative? In our study, participants listened to one of two stories while being scanned using fMRI. The stories had an identical grammatical structure but varied in a small number of words, resulting in two distinct narratives. We found that differences in neural responses between the stories were amplified as story information was transferred from low-level regions (that are sensitive to the words’ acoustic features) to high-level regions (that accumulate and integrate information across sentences). Our results demonstrate how subtle differences can be accumulated and amplified along the cortical hierarchy.
  • Access State: Open Access