Illustration of the fixation drift evaluation method.
<p>(A) An example fixation from subject six, round one, session one. This was fixation number 43. It was 715 ms in length. The horizontal position is displayed. (B) This is a plot of 416 slopes. Starting at the first point, we regressed the first 300 eye-position data points onto a vector of m...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Published: |
2025
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | <p>(A) An example fixation from subject six, round one, session one. This was fixation number 43. It was 715 ms in length. The horizontal position is displayed. (B) This is a plot of 416 slopes. Starting at the first point, we regressed the first 300 eye-position data points onto a vector of ms numbers from 1:300. The slope of this regression represents the slope of eye position over this interval. Since we were interested in quantifying drift regardless of direction we take the absolute value of the slope. The raw slope expresses the drift in degrees per ms, so we multiply the slope by 1000 to obtain the slope per second. The red star is the point with the highest slope (absolute value). The green line in (A) is the fitted regression line plotted on the horizontal position signal starting at the point of maximum slope.</p> |
|---|