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Edition before publication
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rougier committed Feb 10, 2016
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2 changes: 1 addition & 1 deletion article/README.md
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Expand Up @@ -17,7 +17,7 @@ $ cabal install pandoc-crossref
In a console, type:

```
pandoc --standalone --filter ~/.cabal/bin/pandoc-crossref --template=rescience-template.tex --latex-engine=xelatex --biblatex --bibliography=your_article_name.bib -M "crossrefYaml=crossref.yaml" --output your_article_name.tex your_article_name.md
pandoc --standalone --filter ~/.cabal/bin/pandoc-crossref --template=rescience-template.tex --latex-engine=xelatex --biblatex --bibliography=viejo_girard_khamassi.bib -M "crossrefYaml=crossref.yaml" --output viejo_girard_khamassi.tex viejo_girard_khamassi.md
xelatex your_article_name
biber your_article_name
xelatex your_article_name
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39 changes: 0 additions & 39 deletions article/viejo_girard_khamassi.aux

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22 changes: 11 additions & 11 deletions article/viejo_girard_khamassi.md
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Expand Up @@ -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

---

Expand Down Expand Up @@ -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.

![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}

# Conclusion

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