@fusaroli I tend to rely on wolfram alpha for solving and isolating variables. Intuitive and very expressive
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Jesper Fischer Ehmsen
9 posts
Jesper Fischer Ehmsen
@EhmsenFischer
Research assistant at @bpplab_au and @visceral_mind. Interests in pain, learning and computational modeling. Finishing Masters at Cognitive Science Aarhus.
Aarhus University Katılım Ekim 2022
88 Takip Edilen52 Takipçiler
does any of you use some sort of equation solver software? I am converting between measures in signal detection theory (e.g. can we get commission rates from a prime and bias?) and I could use some sanity check on my manual solving!
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Jesper Fischer Ehmsen retweetledi
🤓 I've been thinking about code review for statisticians & data scientists a lot recently
👨💻 We have a lot to learn from software developers
🔗 jcken95.github.io/projects/code_…
#statistics #DataScience
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Jesper Fischer Ehmsen retweetledi
Francesca Fardo@FrancescaFardo
First up this afternoon, Camilla and Arthur! They’re happy to tell you about evidence accumulation, reversal learning, the volatile Kalman filter, & how we used them to learn more about spatial aspects of pain perception and how we form expectations of pain! Posters #135 & #493
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Jesper Fischer Ehmsen retweetledi
Why does cold sometimes feel warm? Using what we see to understand how we feel communities.springernature.com/posts/why-does… great blog post from Alex Mitchell and @FrancescaFardo on their new paper in @CommsPsychol #thermosensation #illusions
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Jesper Fischer Ehmsen retweetledi
Applying contrast enhancement principles, established within the visual and auditory domain, to thermosensation, reveals that larger temporal contrasts increase the probability of experiencing thermal nociceptive illusions @FrancescaFardo @EhmsenFischer nature.com/articles/s4427…
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@jgeller_phd @micahgallen @andrewheiss The GAMLSS package provided this, and as far as I am aware, the ordered beta regression is only implemented using brms / Stan. However I agree that ordered beta regression might be the way forward for a more holistic model of VAS-ratings!
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@jgeller_phd @micahgallen @andrewheiss We wanted a consistent framework which was not too computationally heavy as ~80k data points is cumbersome to fit in a Bayesian framework especially given the hierarchical nature of the data.
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I cannot read ZOIB and not picture Zoidberg 🦞. But this approach is a must have for working with subjective VAS data. Not only is it more sensitive but it also better reflects the data (bounded by 0-1, frequent 0 or 1 inflation). Should be standard for subjective modelling.
Micah G. Allen@micahgallen
Next, using our hierarchical ZOIB regression approach, we predicted VAS ratings using trial by trial variance in prediction and estimation uncertainty. We find that the precision (i.e., inverse uncertainty) of thermosensory predictions increases felt cold and warm sensations.
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Jesper Fischer Ehmsen retweetledi
Thermosensory predictive coding underpins an illusion of pain! Our new study reveals how perceptions of pain can emerge from the interplay between thermal sensations, expectations, and uncertainty. Check out our thread for all the details! 🧵👇 biorxiv.org/content/10.110…
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