PA3 README
The PA2 experiment was designed to be used specifically during electrophysiological recordings. This experiment uses interference versus no interference, forward versus backward recall, and item versus associative encoding to try and elicit differences in brain activation.
It is based on the older pypa2 design.
PA3 Update: looking at old data on rhino it appears both the easy and regular lists have been used in the past. For example: /data1/eeg/group2/BW002/behavioral/pa2/data/21/subdat.csv /data1/eeg/group2/BW002/behavioral/pa2/data/22/subdat.csv
First check to see that the appropriate links for your language are made in the txt/ directory. For example, if running in Germany, 'nounpool.txt' should be a link to 'nounpool_german.txt', and 'intro.txt' should be linked to 'intro_german.txt'. Likewise, 'nounpool.txt' should point to the desired noun pool file. Once the proper links have been configured, make sure that 'config.py' has the configuration you desire.
Then type,
pythonw pypa3.py -s SUBJECT_ID
and enter the subject identifier in place of SUBJECT_ID. You may quit the experiment between trials by pressing the ESC-F1 keys together. The experimenter is required to hit a key after each subject response to proceed to the next trial.
Annotate the files in 'data/SUBJECT_ID/session_RUN' as you normall would. The wordpool file is whatever 'txt/nounpool.txt' points to.
If the user says nothing during the entire file, mark a vocalization at the very end of the file.
ANALYSIS
pythonw post-process.py -s SUBJECT_ID
The behavioral results of the experiment are contained within the subdat.csv file.
The EEG results can can be found in data/SUBJECT_ID/session_RUN/eeg.eeglog and data/SUBJECT_ID/session_RUN/session.log .
The analyze_subject.m script can be run from within matlab to assess the performance of an individual subject. This script is well documented.