Simulation of Error Negativite Response (Human Brain) (Scripts) Publisher's description
from Davide Imperati
The environment: The subject are presented pairs of symbols, (A,B), (C,D) and (E,F)
The environment: The subject are presented pairs of symbols, (A,B), (C,D) and (E,F),
A wins in 80% of the cases, B in 20%, C=70%, D=30% and E=60% while F=40%.
After a response signal an answer is expected. If the answer correspond to a winning choice follows a reward, if not follows a negative reward. No answer, double conflicting answers and ansers before the AW. Signal are discouraged (low negative reward)
The goal is to develop a strategy which allows to maximize reward starting with almost no prior knowledge.
The prior knowledge schematize the introductive instructions given to a subject of a fMRI/Behavioural test.
In this case:-
You will be presented a couple of symbols for each trial, only one is winning, you have to choose the right one. and answer after a response signal.
The strategy can be complicated.
Couples of symbols are represented as logical conditions on different input lines of the system.
The different parts of the triale are followed on by a finite state automa, which tries to sincronise with the trial. The automa has 6 different states
-at the beginning
0) pre trial states
-after presentation of the sympbols
the system tries to make chioces, any answer is discouraged
-after presentatio of the answer signal
2)the system gives an answer (first symbol, secon simbol, no answer)
3)waiting for reward
-after presentation of reward
4)elaboration of the choice/reward dependencies and updat of the internal state
5)If an error occurs (anticipated answer, unexpected stimalation, etc.) the automata tries to re-syncronize with the trial.
System Requirements:MATLAB 7.1.0 (R14SP3)
Program Release Status: New Release
Program Install Support: Install and Uninstall