Beth Baribault

78 posts

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Beth Baribault

Beth Baribault

@bbbbaribault

Postdoc @UCBerkeley. modeling cognitive processes, improving research practices, & Bayesian everything. she/her

Oakland, CA Katılım Kasım 2018
169 Takip Edilen229 Takipçiler
Pluta Lab
Pluta Lab@LabPluta·
Our lab's first paper! I'm incredibly proud of Suma and the outcome of this project. Active touch in the SC is awesome. There will be more to come in the near future. @PurdueBiolSci
Suma Chinta 👩‍🔬@suma_chinta

Ever wonder how your brain distinguishes object motion from self-generated sensory cues? We found a neural code in the mammalian Superior Colliculus that answers this question. Stay along for the tweetprint. 🧵 biorxiv.org/content/10.110…

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Beth Baribault
Beth Baribault@bbbbaribault·
so pumped to attend this workshop Saturday @ #RLDM2022!! amazing lineup of computational psychiatry talks 🧠 organized by the fantastic @Rachel_Bedder :)
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Beth Baribault
Beth Baribault@bbbbaribault·
using hierarchical Bayesian methods to fit cognitive RL models is more popular than ever!!🔥 Friday @ #RLDM2022 come learn how model development work is **critical** for success in making Bayesian versions of complex cognitive models, like our RL+WM model! @Anne_On_Tw #2.158
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Beth Baribault
Beth Baribault@bbbbaribault·
@wartortlemorty @vishnusreekr exactly, yeah. (it's also important to remember that bayesian methods, unlike other analysis methods, allow for the direct incorporation of domain expertise via the prior, among other benefits--- but yep, you've got the contrast right ✅)
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Beth Baribault
Beth Baribault@bbbbaribault·
bayesian cognitive models are powerful tools to analyze data through the lens of cognitive processes --- but they can be *exceptionally* tricky to use correctly. in our new preprint, we offer a clear & comprehensive guide to troubleshooting bayesian cognitive models! (1/5)
Anne Collins@Anne_On_Tw

Check out our new paper from the excellent @bbbbaribault ! An in-depth tutorial on hierarchical bayesian modeling with Stan for cognitive models. @ccnlab Troubleshooting Bayesian cognitive models: A tutorial with matstanlib psyarxiv.com/rtgew via @OSFramework

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Beth Baribault
Beth Baribault@bbbbaribault·
@wartortlemorty @vishnusreekr ... priors, defines a generative cognitive model. we use bayesian methods *only* to estimate the parameters---as an alternative to using max likelihood, SGD, grid search, etc. (only the latter example is a bayesian cognitive model.)
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Beth Baribault
Beth Baribault@bbbbaribault·
@wartortlemorty @vishnusreekr sure! it's a common question. to model decisions, you could propose a bayesian reasoner, in which case bayes' theorem is the data-generating process. instead, say you propose a cumulative prospect theory model. CPT is the data-generating process which, along with some ...
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Alexandre Filipowicz
Alexandre Filipowicz@alsfilip·
@bbbbaribault This is an awesome guide - among the many great points you raise, simulation and recovery are so critical but way too often overlooked!
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Beth Baribault
Beth Baribault@bbbbaribault·
@harrison_ritz that's excellent to hear!! exactly the kind of work i'm hoping to support with matstanlib :) if you have any feedback down the line i'd be delighted to hear it!
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Harrison Ritz
Harrison Ritz@harrison_ritz·
@bbbbaribault honestly might finally tip the scale for me converting my pipeline to stan. Thank you!!
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Beth Baribault
Beth Baribault@bbbbaribault·
we truly appreciate any & all feedback while we're still in the preprint stage! 🎉👍 (5/5)
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Beth Baribault
Beth Baribault@bbbbaribault·
we also introduce the matstanlib library (github.com/baribault/mats…) to help demonstrate good workflow for bayes cog modeling in MATLAB 📉📈📊 matstanlib automates the diagnostic checks & plots required of bayesian models (& was used to generate almost all plots in the paper! 4/5)
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Beth Baribault
Beth Baribault@bbbbaribault·
how can we model explore-exploit strategies? in my #psynom21 talk (14) TODAY, i'll show how a "modified RL" model offers a satisfying explanation of individual differences in E-E strategies for the observe or bet task! 💻 Motivation, Reward, & Cog Processes session @ 9:00 am CT !
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