PassiveViewing_in_ML

apply passive viewing paradigm in monkey logic

install NIMH Monkey Logic at https://monkeylogic.nimh.nih.gov/

If you are using AO, install instrument controll toolbox and jsonlab before running modify your image vaults in pv_userloop, load condition file in main menu and run! if you don't have a AO or OE connected to ML PC through a network switcher, please set DeviceFreeMode=1 in userloop function\

Update Journal

2024.01.17
change select_dataset.m to select_xml.m, which allows adding datasets during experiment with NAS change progress calculation, such that we can judge which image was fixated so we can select image to show in the next trial

2024.01.09
add TTL version of OnOffMarker to tell online system about eye location info which make eventcode clear

2023.12.14
first successful session for ePhys

2023.12.10
replace TCP transfer to a share folder method to send message to Online system

20230918
refine training paradigm

20230913
add training paradigm add example data add movie viewing dataset add single phonton paradigm

20230604
add fmri localizer dataset add trigger val and example design matrix

20230601
Separated the experiments (AO or OE) into different folders. Implemented the use of relative paths for images.

20230524
Add a network example for WKS, add movie viewing function

20230520
add zeromq functions

20230519
Implemented the webwrite function for OE

20230516
show example image categories

20230504
add category info for OE

20230426
Introduced a new paradigm where images are presented only when the monkey is fixating.

20230329
Add eye info and eye correction

20230301
Fixed dataset index and on-off marker.

20230220
Removed the online app.

Image vault setting

In the user loop file, you need to declare the images that will be presented during the experiment. You should tell which folders you want to use as image vault. Please see example of FOB_example.

root_dirs = {'Z:\Monkey\Stimuli', 'D:\Img_vault'};
[TrialRecord.User.img_info]=select_xml(root_dirs,online_folder);

We rewroted some adapters, described below.

Rewrited RealTimeLooseHold

LooseHold is an adapter that achieves a state of success permanently once fixation is maintained for a certain duration. This would lead RewardScheduler deliver reward permanently even if the first successful fixation is broken afterwards. To solve this, we have rewritten the RealTimeLooseHold adapter to allow for real-time state changes.

Rewrited MyImagechanger

We have made modifications to the imagechanger adapter and renamed it as MyImagechanger. The purpose of this modification is to incorporate zeromq functions after the onset of any image. In the current configuration, the category information is sent to the OpenEphys GUI.

Rewrited OnOffMarker.m

We have make a TTL version of OnOffMarker so we can send TTLs to AO once eye-signal is within or out-of fixation window. This allows online system to judge which trial should be used for analysis. TTL avoids occupying eventcodes.

How to Use these adapter

These rewritten adapters are stored in the util folder. To utilize them, you need to include them in your timing script. Refer to the provided example and make necessary modifications accordingly.