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Unlike other research, this paper extends the capabilities of DFT in a complementary direction, showing how to fit or train a DFT model by estimating the EAW based on sequentially obtained samples of decision trials.
Eighth, our decision analyses used all 90 decision trials.
We contrasted decision trials against very similar comparison trials requiring no decisions, using whole-brain BOLD-response analyses of group differences, corrected for multiple comparisons.
In 90 decision trials participants chose to make either a cautious response that earned one cent, or a risky response that would either gain 5 cents or lose 10 cents; odds of losing increased as the game progressed.
Taking the state dependence into account, the average reward is written as 〈r〉 = Σ sΣa〈r|a, s〉 pa s ( w P( s), where 〈r|a, s〉 is the average reward conditioned on choice of option a in state s, and P( s) is the distribution of the states that the subject has visited over sufficiently many decision trials with fixed {pa s ( w)}.
The participants' task is to identify the best market segment in several decision trials.
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Rather, information organization is directly assessed and automatically computed in each decision trial.
With four options per decision trial, chance level performance was at 25%% correct answers.
The DECISION trial was supported by Bayer HealthCare Pharmaceuticals and Onyx Pharmaceuticals, Inc., an Amgen subsidiary.
Humans received six blocks of 48 trials in a single session, including 72 instances of each decision trial.
Pigeons were tested in daily sessions of 10 trials and received at least 72 instances of each decision trial.
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