Adapting to altered image statistics using processed video

Michael Falconbridge, David Wozny, Ladan Shams, Stephen A. Engel

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Perceptual systems can be altered by immersing observers in environments with statistical properties that differ from those naturally encountered. Here we present a novel method for placing observers in naturalistic audio visual environments whose statistics can be manipulated in very targeted ways. We present the results of a case study that used this method. Observers were exposed to an environment where there was a novel statistical relationship between two simple, visual patterns in otherwise natural scenes. Exposure to this altered environment strengthened perceptual interactions between the two patterns.

Original languageEnglish (US)
Pages (from-to)1757-1764
Number of pages8
JournalVision Research
Volume49
Issue number14
DOIs
StatePublished - Jul 2009

Bibliographical note

Funding Information:
There are no financial conflicts of interest on the part of any of the authors. We thank Alan Yuille, Don MacLeod and Patricia Cheng for support and helpful discussion. We gratefully acknowledge financial support from NIH EY11862 (S.E.), The Keck Foundation’s UCLA Program for Vision and Image Science (M.F., L.S., S.E.), NIH EY01711 (M.F.), UCLA Graduate Division fellowship (D.W.), Naval Research Laboratory Grant (L.S.), and UCLA Faculty Senate Grant (L.S.).

Keywords

  • Facilitation
  • Gabor
  • Learning
  • Natural images
  • Plasticity

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