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Implement the DRIFT model for delayed choice tasks #75

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drbenvincent opened this issue Feb 15, 2019 · 2 comments
Open
3 of 7 tasks

Implement the DRIFT model for delayed choice tasks #75

drbenvincent opened this issue Feb 15, 2019 · 2 comments
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@drbenvincent
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drbenvincent commented Feb 15, 2019 •
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  • implement the DRIFT model code
  • evaluate DRIFT model with a notebook
  • add a parameter recovery simulation in the notebook
  • add reference to DRIFT paper in the code + notebook
  • need to get a better sense of the parameterisation to get better priors over beta parameters

If all this works out:

  • add it to the PsychoPy demos
  • add it to tests
@drbenvincent drbenvincent added the model model related label Feb 15, 2019
drbenvincent added a commit that referenced this issue Feb 15, 2019
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#75 implimented DRIFT model
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drbenvincent added a commit that referenced this issue Feb 16, 2019
@drbenvincent
#75 DRIFT: seemingly no analytical solution for simple a discount fun…
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…ction

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@drbenvincent
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Well it seems that there is no analytical solution to find an indifference curve for the simple discounting situation where RB=100, DA=0. This is a bit frustrating as it would have been nice to look at it's functional form

drbenvincent added a commit that referenced this issue Feb 16, 2019
@drbenvincent
#75 adding citations re DRIFT model
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drbenvincent added a commit that referenced this issue Feb 16, 2019
@drbenvincent
#75 unable to find analytical indifference surface for magnitude effect
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Also unable to find an analytical indifference surface for the magnitude effect with no front-end delays

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