Detecting shapes in noise: tuning characteristics of global shape mechanisms

Gunnar Schmidtmann, Gael Gordon, David Bennett, Gunter Loffler

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)
19 Downloads (Pure)


The proportion of signal elements embedded in noise needed to detect a signal is a standard tool for investigating motion perception. This paradigm was applied to the shape domain to determine how local information is pooled into a global percept. Stimulus arrays consisted of oriented Gabor elements that sampled the circumference of concentric radial frequency (RF) patterns. Individual Gabors were oriented tangentially to the shape (signal) or randomly (noise).
Original languageEnglish
Article numberPMC3655279
JournalFrontiers in Computational Neuroscience
Issue number37
Publication statusPublished - May 2013


  • signal elements
  • motion perception
  • vision sciences
  • noise


Dive into the research topics of 'Detecting shapes in noise: tuning characteristics of global shape mechanisms'. Together they form a unique fingerprint.

Cite this