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Simulation of Error Negativite Response (Human Brain)

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company name:
Davide Imperati
license: Free
minimum requirements: MATLAB 7.1.0 (R14SP3)
functional limitations:
Simulation of Error Negativite Response (Human Brain) description
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.The Simulator: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 beginning0) pre trial states-after presentation of the sympbols1)elaboration statethe system tries to make chioces, any answer is discouraged-after presentatio of the answer signal2)the system gives an answer (first symbol, secon simbol, no answer)3)waiting for reward-after presentation of reward4)elaboration of the choice/reward dependencies and updat of the internal state5)If an error occurs (anticipated answer, unexpected stimalation, etc.) the automata tries to re-syncronize with the trial.error-negativity response:
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version 1.0
size in Kb 31
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user rating 5/10
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