====== Automatic Eye Scoring ======

R code to identify and score saccades along the horizontal meridian. 

Available in ''/Volumes/Hera/Projects/autoeyescore'' and on https://github.com/LabNeuroCogDevel/autoeyescore/

See [[https://github.com/LabNeuroCogDevel/autoeyescore/?tab=readme-ov-file#citations|github readme citation section]] for how this code is cited in manuscripts from the lab.

trialwise scoring includes 
  * trial number
  * **xdat** 0-265 code describing trial target (fix, pro, or anti saccade, side: far,near left,right)
  * **latency** trial onset to onset time of first saccade (ms)
  * **trial score**
  * drop reason description when dropped

^score^meaning^
| -1 | Dropped -- blink, too fast, bad tracking, etc |
| 0  | Incorrect -- looked at the wrong side and never corrected |
| 1  | Correct -- first saccade to the correct side|
| 2  | Error Corrected -- first saccade to the wrong side, but next saccade to the correct side |


Trialwise scored files look like:

<code>
head /Volumes/L/bea_res/Data/Tasks/Anti/Basic/11723/20181119/Scored/txt/11723.20181119.1.trial.txt 

trial   xdat    lat     fstCorrect      ErrCorr AS      Count   Desc
1       131     NA      FALSE   FALSE   AS      -1      average fixpos(0.000000) is off from baseline(130.500000)!
2       132     398     TRUE    FALSE   AS      1
3       134     405     TRUE    FALSE   AS      1
4       134     164     FALSE   TRUE    AS      2

</code>

===== 7T =====
[[:grants:7t]] used the ASL 60Hz eye tracker. Collection of all trialwise scores in ''/Volumes/L/bea_res/Data/Tasks/Anti/all_trials_7t.tsv'' ((see ''make -C /Volumes/L/bea_res/Data/Tasks/Anti all_trials_7t.tsv''))
 
Final trail-wise scored files are like ''/Volumes/L/bea_res/Data/Tasks/Anti/Basic/1*/2*/Scored/txt/*.1.trial.txt''


  - Raw scan data is copied from the eye tracking computer to ''L:\Data\Temporary Raw Data\7T''
  - ''/Volumes/L/bea_res/Data/Temporary\ Raw\ Data/copy7T.bash'' makes copies into ''bea_res/Data/Tasks/Anti/Basic/1*/2*/Raw/EyeData/*.eyd''
  - in ''/Volumes/Hera/Projects/autoeyescore'', ''./runme.bash -t anti'' conversts ''.eyd'' to ''.data.tsv'' and creates ''Scored/txt/*.1.trial.txt'' files.