Data Science Influencer: “Alright everyone, it’s pride 🌈🌈month✨✨✨, so you know what that means: ranking the machine learning algorithms by how gay they are”
Justin Fine
@justfineneuro.bsky.social
Barely cognitive professor(ish) Baylor College of Medicine.
I’m just waiting for the next W.H. announcement to be “It's got what plants crave. It's got electrolytes”
#neuroskyence GLM/GAM are used for neural tuning estimation. I made updates to an easy to use python lib. Supports splines, and regs. and likelihood combos not readily available (ARD , Bayesian Group Lasso, etc), (poisson, neg binomial, gauss, zeroinf). Jax/NumPyro for high-D bayes. Linked
BayesBrain
Bayesian Generalized linear modeling and GAMs utilizing NumPyro
pypi.org
I could not have done this without the sweat and immense effort driven by a whole team of people. @assiachericoni.bsky.social in particular.
New lab paper led by @justfineneuro.bsky.social "Complementary roles for hippocampus and anterior cingulate in composing continuous choice”, now on bioRxiv! www.biorxiv.org/content/10.1...
Excited to share our latest preprint with @camillopadoasch.bsky.social and Xiao-Jing Wang! We present a biologically plausible framework showing how neural circuits compute & compare value to drive flexible economic decision making. www.biorxiv.org/content/10.1...
A Neural Circuit Framework for Economic Choice: From Building Blocks of Valuation to Compositionality in Multitasking
Value-guided decisions are at the core of reinforcement learning and neuroeconomics, yet the basic computations they require remain poorly understood at the mechanistic level. For instance, how does t...
biorxiv.org
If you identify as a Jewish member of the academic community, and are appalled by the actions being taken in the name of defending our community, please consider signing this letter (which can be done anonymously) and also sharing it with others: forms.gle/prnRbq69a6YN...
Open letter in response to federal funding cuts at Columbia
On March 7th, the Trump administration announced the immediate cancellation of approximately $400 million in federal grants and contracts to Columbia University. This includes funding from the Departm...
forms.gle
the authoritarianism is bad, but the loser energy is absolutely intolerable
New Lab Preprint! "Independent Continuous Tracking of Multiple Agents in the Human Hippocampus" led by my graduate student Assia Chericoni. www.biorxiv.org/content/10.1...
Independent Continuous Tracking of Multiple Agents in the Human Hippocampus
The pursuit of fleeing prey is a core element of many species behavioral repertoires. It poses the difficult problem of continuous tracking of multiple agents, including both self and others. To under...
biorxiv.org
👏
Many neuroscience students are steeped in an experiment-first style of thinking that leads to “random walk science.” Let’s not forget how theory can guide experiments towards deeper insights, writes @gershbrain.bsky.social. #neuroskyence www.thetransmitter.org/theoretical-...
What’s the minimal amount of time I have to write before I play Elden? Asking for a friend.
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.
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
🙌 this has been a tough lesson for me, as I transitioned from cog sci to sys neuro. I feel like I’m shoehorning in analysis merely for attentional capture.
I love tiny museums that focus a visitor's attention on one or a few works. Sometimes I dream of scientific papers with a similar design principle. But whenever I try to write such papers, the reviewers seem shocked by the sparseness and simplicity. I'm out of step with these maximalist times.
My first @cosynemeeting.bsky.social meeting abstract for me submitted and accepted, nice.
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.
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?
Can the motor system use sensory expectations to prepare for unexpected events? Excited to share my latest work with @andpru.bsky.social – where we establish that sensory expectations shape neural population dynamics in motor circuits! 🧵 and paper below 1/
Fresh out: a short review article where I give an overview of different ways that across-trial temporal structure is helpful in understanding cognitive models of decision-making osf.io/preprints/ps...
Has anybody made a variant of a demixed dim red that is DS based, with high interpretability? basically pitching demixed LDS with Nonlinear approximated inputs? #neuroskyence
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.
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
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... 🧠🤖
Come see our nanosymposium on value-based decision making this afternoon, including my talk on the intrinsic value of information 📚🔎. Can't wait to hear from this stellar group! #SFN24
At #SFN24? Come check out a super exciting nano I am co-chairing with @katieinsel.bsky.social, NANO07 today 10/5 at 1pm in room N228. Killer lineup: eppro02.ativ.me/appinfo.php?... #SFN24
Will be bopping around @sfn this week. If anyone wants to chat, 🍻 or both, ping me!! Also, giving a talk on Monday.
A simple question spawned into surprising results: how does our allocation of attentional effort fluctuate during value based choice.
New preprint from the lab! Led by @justfineneuro.bsky.social! "Rational inattention in neural coding for economic choice" www.biorxiv.org/content/10.1...
New from the lab! “Semi-orthogonal subspaces for value mediate a binding and generalization trade-off” led by @wjj.bsky.social and @justfineneuro.bsky.social! www.nature.com/articles/s41...
Semi-orthogonal subspaces for value mediate a binding and generalization trade-off - Nature Neuroscience
This study shows that the brain can link action to value through neural population subspaces, balancing reliable binding of action to value and generalization to novel stimuli.
nature.com