Justin Fine

@justfineneuro.bsky.social

Barely cognitive professor(ish) Baylor College of Medicine.

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Do you want to fit nonlinear tuning curves, using Poisson (GAM/GLM) models, but want flexible basis functions, Bayesian machinery, and smoothing and regularization of penalized splines. I wanted a bayesian approach in a modern framework (Pyro). Without guarantee github.com/JustFineNeur...

GitHub - JustFineNeuro/neuroglm: Generalized Linear Model

Generalized Linear Model. Contribute to JustFineNeuro/neuroglm development by creating an account on GitHub.

github.com

I would like to highlight a somewhat tangential finding here: We found clear evidence for clusters in the encoding geometry of natural images and a decision making task (in mice and monkeys). I think this speaks in favor of modular brains in both species.

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Joao Barbosa@jbarbosa.org · 2y ago

Check our latest in which we leverage shape metrics to compare neural geometry across regions, sessions or subjects and how their differences predict behavior. w/ Nejatbakhsh, Duong, @sarah-harvey.bsky.social, Brincat, @siegellab.bsky.social, @earlkmiller.bsky.social & @itsneuronal.bsky.social

most people aren’t defining their subspaces. Take the issue of PCA. If experiment cond A pushes a latent to have higher variance than condition B, comparing the two artificially thru alignment artificially inflates “orthogonaliy”. Better to define geometry based on variables and decompose.

Grace Lindsay@neurograce.bsky.social · 2y ago

Diversity of responses to this also makes me curious: what do you assume a paper is saying if it says a neural population is using 'orthogonal subspaces'? Or what analyses would you say are needed to make this claim?

A lot of musing about how manifolds replace tuning. But I’d like to argue this is slight misdirection. You don’t get manifolds absent tuning/connectictivity/neuromodulation. Manifolds not in lieu of tuning, but they are independent in so far multiple tunings can render isomorphic manifolds.

I’m happy someone said this. I saw a few packs that had people on it, that don’t even do that research (but I do). But I also suck at self-promoting. Maybe gotta find the bravery to ask for a seat at the proverbial table.

Nico Schuck@nicoschuck.bsky.social · 2y ago

I am a bit afraid the whole Starter Pack business leaves behind trainees — make sure to follow / repost them if their work interests you so their voices are heard #PsychSciSky #neuroskyence #compneurosky

Random opinion: stochastic optimal control theory is underrated in NeuroAI and theoretical neuro. It's one of the most general and useful frameworks out there. Lots of beautiful math and solid proofs. More people should apply it to neuroscience... 🧠🤖