Process reveals structure: How a network is traversed mediates expectations about its architecture

Elisabeth A. Karuza, Ari E. Kahn, Sharon L. Thompson-Schill, Danielle S. Bassett

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Network science has emerged as a powerful tool through which we can study the higher-order architectural properties of the world around us. How human learners exploit this information remains an essential question. Here, we focus on the temporal constraints that govern such a process. Participants viewed a continuous sequence of images generated by three distinct walks on a modular network. Walks varied along two critical dimensions: their predictability and the density with which they sampled from communities of images. Learners exposed to walks that richly sampled from each community exhibited a sharp increase in processing time upon entry into a new community. This effect was eliminated in a highly regular walk that sampled exhaustively from images in short, successive cycles (i.e., that increasingly minimized uncertainty about the nature of upcoming stimuli). These results demonstrate that temporal organization plays an essential role in learners' sensitivity to the network architecture underlying sensory input.

Original languageEnglish (US)
Article number12733
JournalScientific reports
Volume7
Issue number1
DOIs
StatePublished - Dec 1 2017

All Science Journal Classification (ASJC) codes

  • General

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