Holcombe:TemporalNoise: Difference between revisions

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==Temporal noise for every subject==
==Temporal noise for every subject==
Col change: 76 ms
Sound: 65 ms
Predictive: 86 ms
Button press: 64 ms
These slopes are wrong for AH with buttonpress!
These slopes are wrong for AH with buttonpress!
[[Image:SlopesNoIntercepts.png]], [[Image:Slopes.png]]
[[Image:SlopesNoIntercepts.png]], [[Image:Slopes.png]]

Revision as of 22:29, 16 November 2008

Recent members

Alex Holcombe
• Ryo Nakayama



Technical

Skills Checklist
Python Programming
Psychopy/VisionEgg Installation Notes
R analysis,plot,stats
Statistics
Buttonbox
Buttonbox with photocell
Programming Cheat Sheets


  • Check gradually varying of two patches, have to judge orientation of second when one is vertical, also look up std dev of Arnold tilt orientation
  • Try independently varying orientation of the two moving/stationary patterns across trials, like Keeble & Nishida

also see temporal precision and action also see Holcombe:InPhaseTask also see Holcombe:ModellingUncertainty also see Holcombe:TemporalLimitsReview

Holcombe,White,Linares VSS 2008 poster on this topic, data below is subset i think

Method

-Screens:

Radius experiment: 800x600 at 160 Hz (Mitsubishi)

The rest of the experiments: 800x600 at 120 Hz (ViewSonic)

Temporal noise for every subject

Col change: 76 ms Sound: 65 ms Predictive: 86 ms Button press: 64 ms

These slopes are wrong for AH with buttonpress! ,

Buttonpress (sensorimotor synchronization) vs. other tasks

  • is variability consistently less than for other tasks?

Yes for ML, AH, DL poster data, by 20-30 ms. This includes dot-crossing predictive task For data not in table above, DL in 3 different runs shows low temporal noise, and AH ended up with better temporal noise (i think this was partially a data analysis error; Dani has now fixed it)