| Paper: | RS-1A.2 |
| Session: | Late Breaking Research 1A |
| Location: | Late-Breaking Research Area |
| Session Time: | Thursday, September 6, 16:30 - 18:30 |
| Presentation Time: | Thursday, September 6, 16:30 - 18:30 |
| Presentation: |
Poster
|
| Publication: |
2018 Conference on Cognitive Computational Neuroscience, 5-8 September 2018, Philadelphia, Pennsylvania |
| Paper Title: |
Confidence in decision-making modeling |
| Authors: |
Zahra Ghasemi Esfahani, Boston University, United States; Amirhosein Farzmahdi, Sajjad Zabbah, Reza Ebrahimpour, Institute for Research in Fundamental Sciences, Iran |
| Abstract: |
In this study, we have shown that in the random dot motion (RDM) task, the reported confidences of the subjects should measure before their final reported decision. Measuring confidence at the saccade time, when the firing rate of the population of selective neurons reach a threshold, causes loss of information and can not explain the decreasing behavior of confidence versus reaction time of the subjects. That is because the firing threshold in which the saccadic response occur, is much near to the final persistent activity of neuronal population and most of the trials behave the same in this period. The neuronal dynamics indicate that it would be so rare for populations to switch their states at the time the firing rate if one of the competitive neuronal population changes its slope, and we can hypothesize that subject could reach to a reasonable amount of confidence at that moment and then can report its final decision. |
