@alltheperkes See also this light and breezy read https://t.co/FmbQtwmnqT from Wichmann lab https://t.co/XlEoNJPAqh
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@JMill_er My own sentiment is that we shouldn't screen/remove data, but include lapses/contamination in the model. Some examples include contamination mixtures for response times: https://t.co/xUwLAChYVN, and lapse processes for choice preference: https://
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@sebraem @Nate__Haines anne's original paper: https://t.co/UzatDHYHA8 a tutorial paper on why this is helpful: https://t.co/bIHclZ7vyM older work from psychophysics: https://t.co/XQvZ2nXKnZ
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@NeuroBill Cumulative weibull https://t.co/RiHk15gyi5
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@tjmahr thanks, now working on this: https://t.co/zXOb6IWu1S (basically a logistic with a noise parameter)
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@LydiaManiatis @tsawallis @j_greenwood @KriegeskorteLab Afaik, https://t.co/IiQd2BT2QN demonstrated this.