Exponential change-time distributions prevent timing strategies in detection tasks

Evidence

In developing the multiple looks hypothesis, Viemeister and Wakefield (1991) argued that if a stimulus contained uninformative snapshots, the energy detector would integrate them and degrade performance. However, the multiple looks mechanism would discard those uninformative pieces and use only the informative snapshots for detection. — Jennifer Lentz, Psychoacoustics- Perception of Normal…, 1066 (#corroborates, via linked claim)

Categorization

• XREF: connects to: Continuous signals flatten reflection detection thresholds while transient signals steepen them; Standard signal-detection measures fail for time-evolving detection tasks — Dijk, Pim van, Physiology, Psychoacoustics and…, 3327; Exponentially distributed change times prevent listeners from predicting when changes occur (+1 more)

Related

• The auditory system can discard uninformative temporal information during detection (similarity 0.89)
• The auditory system can discard uninformative noise and use only informative samples for detection (similarity 0.84)
• Temporal integration may sample informative snapshots rather than integrating all energy (similarity 0.82)
• Standard signal-detection measures fail for time-evolving detection tasks (similarity 0.82)
• Auditory detection of near-threshold sounds depends on the phase of ongoing brain oscillations. (similarity 0.82)
• Larger change sizes steepen and left-shift hit-rate curves, shortening detection time constants. (similarity 0.81)
• Auditory change detection integrates statistical evidence accumulated over time (similarity 0.81)
• Exponential change-time distributions prevent listeners from exploiting timing strategies. (similarity 0.80)
• Change-detection sensitivity rises with observation time but stays low for small changes. (similarity 0.80)
• Detection of statistical change requires temporal integration of the marginal distribution (similarity 0.80)
• Listeners detect statistical changes in ongoing sound based on time available for evidence integration (similarity 0.79)
• Signal detection metrics can be computed as time-varying functions of stimulus onset (similarity 0.78)
• Human change detection follows a statistical-integration model as estimation precision improves with observation (similarity 0.78)

Broader Connections

• The auditory system can discard uninformative temporal information during detection #corroborates (0.82) — Jennifer Lentz, Psychoacoustics- Perception of Normal…, 1066