Palamedes Toolbox

- Palamedes is a free toolbox containing Matlab and Python routines for analyzing psychophysical experiments.

[Palamedes Toolbox @palamedesbox]

Three words: pip install pypalamedes
Tell your pythonic friends
https://t.co/K1nUFgDdpU

[Palamedes Toolbox @palamedesbox]

@movinisthinking @LuigiCuturi Also note that any given value for beta might correspond to different steepnesses for different forms of the PF (e.g., a logistic with beta = 1 and a cumulative normal with beta = 1 are not equally steep). PS Our forum (https://t.co/UyGFBoPgu2) works better for us, I think...

[Palamedes Toolbox @palamedesbox]

@movinisthinking @LuigiCuturi Use the code below and play around with values until you get a PF that looks right
myStimulusRange = [-100:1:100];
logBetaValueToTry = -0.5;
plot(myStimulusRange,PAL_Logistic([0 10.^logBetaValueToTry 0 0],myStimulusRange));

[Palamedes Toolbox @palamedesbox]

@movinisthinking @LuigiCuturi We're not good at tweetering. Tried to create a thread. Not sure whether that worked. Anyway, your stimRange was also to wide. Something like stimRange = linspace(6,14,21) might be more appropriate.

[Palamedes Toolbox @palamedesbox]

@movinisthinking @LuigiCuturi data.x = PM.x(1:end-1);
data.y = PM.response
data.n = ones(size(data.x))
pfhb = PAL_PFHB_fitModel(data,'prior','l','beta',[.03 100],'prior','b','normal',[0 1])
PAL_PFHB_inspectFit(pfhb)
then gives

[Palamedes Toolbox @palamedesbox]

@movinisthinking @LuigiCuturi Using priorAlphaRange = linspace(8,12,grain);
and contour(priorAlphaRange,priorBetaRange,PM.pdf) gives

[Palamedes Toolbox @palamedesbox]

Out now: Easy, bias‐free Bayesian hierarchical modeling of the psychometric function using the Palamedes Toolbox, Behavior Research Methods.
https://t.co/OG3Vutt8R7
Free access: https://t.co/Kr5ItxYzZm

[Palamedes Toolbox @palamedesbox]

@StevenDakin Very nice demo!

[Palamedes Toolbox @palamedesbox]

CORRECTION: That url is:
https://t.co/BGTZhgtg7E

[Palamedes Toolbox @palamedesbox]

The Palamedes Toolbox Forum is Live!

Now it needs you.
www.palamedestoolbox/forum/index.php

[Palamedes Toolbox @palamedesbox]

You spoke, we listened: Palamedes Toolbox user forum coming soon!

Oh, and we’re on twitter now.