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. 2017 Sep 14;111(5):365–388. doi: 10.1007/s00422-017-0730-1

Table 2.

Svartdal (2008) experimental versus simulations-based set-up

Svartdal (2008) Simulation
Subjects 56 students (male and female) 50 simulations with different initial random seeds
Apparatus (1) A vertical metal console (33 × 33 cm), (2) two transluminated ’stimulus’ keys on a table in front of the console, (3) two push button ‘response’ keys on table, (4) sound attenuated room MATLAB program adapting Cosivina NeuralGdynamic software framework (http://roboticsschool.ini.rub.de/software.php)
External stimuli Stim. 1 = red light, Stim. 2 = green light Binary valued Stimulus 1 and Stimulus 2
Pre-training No No
Acquisition learning trials 180 trials 180 trials
Extinction trials 40 trials 40 trials
Inter-trial interval (ITI) 3 s No ITI, neural activation reset at the end of trial
Inter-stimulus interval (ISI) 0.7 s 22 processing steps (stimulus outcome)
Response requirement To choose opposite sequence from that presented by the computer on lamps on the vertical console. 4 possible response contingencies: LL, LR, RL, RR (wrt push button positions). So 1/4 correct chance over blocks of 5 trials A single response selection.
Response reward Rewards = score of 1 at probability: High dens = 0.8 Low dens = 0.4 Rewards = score of 1 at probability: High dens = 0.8 Low dens = 0.4
Between-subjects design LOW: S1 & S2Low dens = 0.4; HIGH: S1 & S2High dens = 0.8. LOW: S1 & S2: Low dens = 0.4; HIGH: S1 & S2: High dens = 0.8
Trial ordering Random presentation of S1 or S2 (1) Trial transition probability pseudo-random; (2) No more than 3 successive trials of the same type could occur (for CRF and PRF types)