mmagnuski / exp_circstim Goto Github PK

if quest works well - remove GUI.

Stepwise (ile triali?)
Weibull (ile triali? czy dolosowywać niepoprawne?)
🎶 ... co dalej, co dalej? 🎶

Would be useful to have some feedback during the time between control guis show up.
Otherwise it is hard to tell how close it is to next gui showup.

FIX

• although weibull fit is ok, the chosen contrast for part C was crazy in some pretests
• add FinalFitGUI to help with such problems
• display contrast range in FinalFitGUI
• return after N trials does not work

Triggers

• check trigger codes
• check code for triggers (and see if break end coincides with fixation onset...)
• test triggers (first without subject, then with EEG pretest)

ContrastInterface etc.

• option to re-fit on last N trials?
• some feedback so that experimenter can expect when next break happens
• timeout so that after a few seconds experiment continuous irrespective of
  no human input

Low Priority:

Experimenter feedback

• more info during instructions
• more info during training
• maybe a little more info during exp

See if weibull is better for this task or not.

blinkdot may be interesiting for a simple report, but if it takes too long or responses are not easy (pressing numbers) - it can be eliminated.
This needs testing.

http://psignifit.sourceforge.net/index.html
https://github.com/esc/Psignifit-3.x

• check if centering etc is the same for all parts (it is not, but does not have to be)
• add \n after jakie nachylenie miał
• Bardzo ważne jest... should be placed lower and preceded with sth like Ostatnia informacja przed treningiem:
• correct askanyquestion - press only f, wider text
• show_resp_rules - gabors wider apart (or bigger)

So that we use din packs and have info on target ori and opacity?

W najnowszej wersji kodu (ze zwolnioną procedurą przy treningu) złapałem dziwny exception:

Traceback (most recent call last):
File "/Users/mike/projects/preludium/exp_CircStim/gabcon.py", line 55, in
present_training(exp=slow, slowdown=s)
File "/Users/mike/projects/preludium/exp_CircStim/stimutils.py", line 222, in present_training
textscreen(thistxt)
File "/Users/mike/projects/preludium/exp_CircStim/stimutils.py", line 347, in textscreen
win.filp()
AttributeError: Window instance has no attribute 'filp'

Zapisuję tutaj, żeby nie uciekło.

white screen problem:

• https://groups.google.com/forum/#!topic/psychopy-dev/8WhUhMBRLbM
• psychopy/psychopy@e2e394f
• https://bitbucket.org/pyglet/pyglet/issues/66
• psychopy/psychopy#970
• http://www.psychopy.org/troubleshooting.html

Hej @msuch - jak będziesz robił wersję ze zmiennym czasem - teraz TimeShuffle ma prościutką metodę all, więc możesz wszystkie czasy wrzucić do DataFrame tak:

df['fixTime'] = TimeShuffle().all()

Poza tym potrzeba jeszcze tylko:

• wczytywania df z wersji _c eksperymentu i dopasowanie weibulla, wybór stałego kontrastu dla poprawności 70%
• poprawnego zapisu (suffix _t)
• drobnej informacji w instrukcjach, że teraz to samo, ale aby uważali bo czasem dłużej się będzie czekało na bodziec
  Coś jeszcze?

Dziś w pretestach widziałem, że Weibull się ładnie kładł, a jednak procedura stwierdzała, że jest fail.
Innym razem procedura unikając urojonego faila się zacięła na jednej wartości kontrastu - trzeba zbadać ten przykry stan rzeczy!

ans sometimes shows up again...
will have to check the code for refreshes.

IMPORTANT

• settle on a weibull fitting schema ( #5 ):
  • how many trials
  • whether to equalize correct and incorrect
  • and the same for final fit in time shuffle part of the study
• extend training
  • gradual speedup
  • periodical feedback info
  • consider checking correctness for last N trials if trials in training exceed some number
  • speedup info
  • fix periodical feedback info - should be shown only when correctness is below treshold, if it is above - speedup info will cover correctness
• finish conventions of saving data, logs etc:
  • for subject 23 the file name in the contrast-varying part of the exp should be 23_c.xls
  • for time-varying part the name should be 23_t.xls
  • training dataframe should be saved: 23_a.xls for example
• finish t version of experiment ( #4 ) - should load relevant data, fit psychometric function and set about 70% correctness contrast
• instructions
  • clear, coherent task instructions
  • info to try to respond every time (guess)
  • info about fixation point
  • info about movement (including eye movements), maybe blinking
  • info about breaks

NOT CRUCIAL

• make sure that lowest contrast from settings.py - in exp dict is used everywhere instead of hardcoding values
• maybe clear up fit_weibull, set_opacity_if_fit_fails and correct_Weibull_fit
• modify training to have some breaks with info about correctness etc.

NOT NECESSARY

• send sms to experimenter when experiment section is about to end (for example - 5 trials left)

• IIRC the interpolation did not work well...
• Also - increase number of edges.