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Analysing the action selection optimality and RT in the experiment and simulation for various subject categories.

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posted on 04.06.2015, 03:31 by Pragathi Priyadharsini Balasubramani, V. Srinivasa Chakravarthy, Manal Ali, Balaraman Ravindran, Ahmed A. Moustafa

(a) The percentage optimality is depicted for various subject categories as obtained from the experimental data and the simulations (run for 100 instances). The reaction times (RT) in msec through trials are also shown for (b) the experimental data, and (c) for simulation. The average RTs in msec across the subject groups are provided for both experiment and simulation in Fig (d). The outliers are in prior removed with p = 0.05 on the iterative Grubbs test [133]. The similarity between the experiment and the simulation is analysed using a one way ANOVA, with reward valence, punishment valence, and RT as factors of analysis. They showed significant differences among the subject groups as seen in the experimental data, but no significant difference is observed between the simulation and the experiment. The subject categories healthy controls, PD-ON ICD, PD-ON non-ICD and PD-OFF are represented as HC, ON-ICD, ON-non-ICD, and OFF in the figures.