Abstract
Probabilistic inference is assumed to be aberrant in deluded patients. Here, we present two novel tasks, designed to measure these computational parameters. Our shape precision task measures the precision of visual short term memory and perceived precision (confidence judgement). This provides a direct assessment of the prediction error. Our probability task is a modification of the “beads in a jar” task. Our version asks for probability estimates after each bead drawn. We derived the mathematical optimal solution and compared it to the estimates of the participants. 15 healthy subjects and 15 patients diagnosed with psychosis played the tasks. Results: patients think their memory is better than it actually is. Further, their probability judgment is worse than that of healthy controls. There was a strong correlation between perceived precision and the probability judgements. Thus, both tasks may measure the same underlying statistical inference mechanism – which is disturbed in deluded patients.
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Pfuhl, G., Sandvik, K., Biegler, R., Tjelmeland, H. (2015). Identifying the Computational Parameters Gone Awry in Psychosis. In: Guo, Y., Friston, K., Aldo, F., Hill, S., Peng, H. (eds) Brain Informatics and Health. BIH 2015. Lecture Notes in Computer Science(), vol 9250. Springer, Cham. https://doi.org/10.1007/978-3-319-23344-4_3
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DOI: https://doi.org/10.1007/978-3-319-23344-4_3
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