Implement the DRIFT model for delayed choice tasks

drbenvincent / darc_toolbox

Run adaptive decision making experiments

MIT License

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Implement the DRIFT model for delayed choice tasks #75

Open drbenvincent opened 5 years ago

drbenvincent commented 5 years ago

[x] implement the DRIFT model code
[x] evaluate DRIFT model with a notebook
[ ] add a parameter recovery simulation in the notebook
[x] 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 commented 5 years ago

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 commented 5 years ago

Also unable to find an analytical indifference surface for the magnitude effect with no front-end delays