harrison ritz

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cybernetic postdoc @ princeton // he/him πŸ‡¨πŸ‡¦
https://harrisonritz.github.io
websitehttps://harrisonritz.github.io/
This #ReviewedPreprint introduces the python software packages Pynapple and Pynacollada as toolboxes for data analysis in neuroscience. See what reviewers thought: https://elifesciences.org/reviewed-preprints/85786/reviews?utm_source=mastodon&utm_medium=social&utm_campaign=organic
Pynapple: a toolbox for data analysis in neuroscience

*that Apple Music would cast lossless audio
wwdc was great, but was really hoping that airplay would get lossless audio
50-year-old 🀴 playing Switch in the customs line

1/ PyVBMC 1.0 is out! πŸŽ‰

https://github.com/acerbilab/pyvbmc

A new Python package for efficient Bayesian inference.

Get a posterior distribution over model parameters + the model evidence with a small number of likelihood evaluations.

No AGI was created in the process!

GitHub - acerbilab/pyvbmc: PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python - GitHub - acerbilab/pyvbmc: PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and mode...

GitHub

β€œThis is notable in part because Harvard's graduate student workers have gone on strike twice in the last several years in part over their low pay from the university. It's also notable because Harvard is one of the richest academic institutions in the world, and has the largest endowment of any university in the world, with around $50 billion under management.”

https://www.vice.com/en/article/93kwaa/harvard-tells-grad-students-to-get-food-stamps-to-supplement-the-unlivable-wages-it-pays-them

Harvard Tells Grad Students to Get Food Stamps to Supplement The Unlivable Wages It Pays Them

The university is hosting an event encouraging graduate students to apply for federal food assistance.

Just out: a special issue in Computational Brain & Behavior on "Bayes Factors for Mixed Models". Great discussion, and all papers open access!
https://link.springer.com/journal/42113/volumes-and-issues/6-1
Computational Brain & Behavior | Volume 6, issue 1

Volume 6, issue 1 articles listing for Computational Brain & Behavior

SpringerLink
Reinforcement learning of adaptive control strategies http://osf.io/d8p9e/
A tutorial for estimating mixture models for visual working memory tasks in brms: Introducing the Bayesian Measurement Modeling (bmm) package for R http://osf.io/umt57/