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Related Concept Videos

Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...

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Crowding in a detection task: external noise triggers change in processing strategy.

Rémy Allard1, Patrick Cavanagh

  • 1Laboratoire Psychologie de la Perception, Université Paris Descartes, Room H416, 45 rue des Saints-Pères, Paris 75006, France. remy.allard@umontreal.ca

Vision Research
|December 28, 2010
PubMed
Summary
This summary is machine-generated.

External noise paradigms assume consistent visual processing, but this study found that high external noise levels can alter processing strategies, causing crowding in detection tasks. Spatially extended noise, however, maintained noise invariance.

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Area of Science:

  • Visual perception
  • Psychophysics
  • Computational neuroscience

Background:

  • External noise paradigms are standard tools for studying visual processing.
  • A key assumption is that processing strategies remain constant regardless of noise levels.

Purpose of the Study:

  • To investigate whether visual processing strategies are invariant to external noise levels.
  • To examine the phenomenon of crowding in a detection task under varying noise conditions.

Main Methods:

  • Measured visual detection thresholds for a target grating with surrounding flanker gratings.
  • Manipulated the orientation of flankers and the spatial/temporal characteristics of external noise.

Main Results:

  • Crowding, an increase in detection threshold, occurred at high noise levels with similarly oriented flankers.
  • Crowding was observed only when the external noise was spatially and temporally localized.
  • Spatially and temporally extended noise did not induce crowding, preserving noise invariance.

Conclusions:

  • The assumption of noise-invariant processing strategies in external noise paradigms is not universally valid.
  • Specific spatiotemporal distributions of external noise can alter visual processing strategies.
  • Spatially and temporally extended noise may better mimic internal noise, maintaining processing consistency.