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@@ -13,26 +13,26 @@ Address: | |
Contact: | ||
- [email protected] | ||
Editor: | ||
- Name Surname | ||
- Nicolas P. Rougier | ||
Reviewer: | ||
- Name Surname | ||
- Name Surname | ||
- Julien Vitay | ||
- Georgios Detorakis | ||
Publication: | ||
received: Nov, 1, 2015 | ||
accepted: Sep, 1, 2015 | ||
published: Sep, 1, 2015 | ||
received: Jan, 20, 2016 | ||
accepted: Feb, 9, 2016 | ||
published: Feb, 10, 2016 | ||
volume: "**1**" | ||
issue: "**1**" | ||
date: Sep 2015 | ||
date: Feb 2016 | ||
Repository: | ||
article: "http://github.com/rescience/rescience-submission/article" | ||
code: "http://github.com/rescience/rescience-submission/code" | ||
article: "https://github.com/ReScience-Archives/Viejo-Girard-Khamassi-2016/article" | ||
code: "https://github.com/ReScience-Archives/Viejo-Girard-Khamassi-2016/code" | ||
data: | ||
notebook: | ||
Reproduction: | ||
- "Speed/accuracy trade-off between the habitual and the goal-directed processes, M. Keramati, A. Dezfouli, P. Payam, PLoS computational biology, 7, 2011" | ||
Bibliography: | ||
your_article_name.bib | ||
viejo_girard_khamassi.bib | ||
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@@ -193,7 +193,7 @@ In our implementation, $$p(s_0, pl) \simeq 0.7$$ and $$p(s_0, em) \simeq 0.3$$ b | |
In the original article, $$p(s_0, pl) \simeq 0.6$$ and $$p(s_0, em) \simeq 0.4$$ | ||
Nevertheless, the probabilities of action from the Kalman Q-Learning after strategy shifting are equivalent. | ||
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![A. Value of Precise Information (full lines) for action press-lever and enter magazine in state $S_0$ and reward rate (dashed line) in moderate training. Vertical line represents the timing of devaluation. B. In extensive training. C. Probability of actions in state $S_0$ in moderate training. D. In extensive training.](../code/fig.pdf) {#fig:figure1} | ||
![A. Value of Precise Information (full lines) for action press-lever and enter magazine in state $S_0$ and reward rate (dashed line) in moderate training. Vertical line represents the timing of devaluation. B. In extensive training. C. Probability of actions in state $S_0$ in moderate training. D. In extensive training.](../code/fig.pdf){#fig:figure1} | ||
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# Conclusion | ||
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