Justin Fine

Asst. Prof: BCM. Barely Cognitive , poser neuroscientist.

[Justin Fine @JustFineNeuro]

@JonAMichaels Peak aesthetic.

[Justin Fine @JustFineNeuro]

@EliSennesh I support this.

[Justin Fine @JustFineNeuro]

I just finished my first full set of models in numpyro: hierarchical, empirical bayes priors and insanely easy to switch between VI and mcmc . Never going back. 🧑‍🍳

[Jay Hennig @jehosafet]

I'm hiring a postdoc to work with me on problems related to meta-learning and probabilistic representation learning in the brain.

Perks:
i) the amazing research community at @bcm_neurosci and @RiceNeuro.
ii) Houston food is DELICIOUS (and cheap)

https://t.co/vAHS2Ny4Jd

[Justin Fine @JustFineNeuro]

@JonAMichaels Things like attractors have meaning. But they become vacuous when the end goal is merely saying “look, there’s an attractor”.

[Justin Fine @JustFineNeuro]

@JonAMichaels 👋 here’s a freebie

[Michael Shadlen @shadlen]

Finally! This is the version of record; it's also the version to read, thanks to the review process at eLife. The finding was out of reach before macaque Neuropixels. @eLife: Direct observation of the neural computations underlying a single decision https://t.co/oYkmbL5fl0

[Jeff Johnston @wjeffjohnston]

When does modular structure emerge in neural networks?
What are the consequences of this structure for learning and behavior?

New work with @StefanoFusi2 answers these questions and more: https://t.co/IyEZoSR7Gb

see 🧵below (1/11)

[Justin Fine @JustFineNeuro]

Will be @SfNtweets from tomorrow till Tuesday. Giving a talk on Tuesday as well. DM if you wanna chat or 🍺 or both.

[Justin Fine @JustFineNeuro]

@harrison_ritz @JonAMichaels I was forced to watch— no commentary, but those drinks look 🔥

[Justin Fine @JustFineNeuro]

@JonAMichaels What sub-genre of house? The answer to this >> any science.

[Justin Fine @JustFineNeuro]

All in all, these results point to specific quantifiable neural effects associated with rational inattention and attentional effort. It was a fun question wherein we really expected to just confirm a gain change, but were gifted a lot more insights.

[Justin Fine @JustFineNeuro]

We frame rational inattention theory to encompass stationary environments by considering it from the purview of Foraging theory. Foraging theory points us to treat recent reward outcomes (history) as reflective of temporally local richness, which should motivate attention 5/n

[Justin Fine @JustFineNeuro]

Attention also increases dynamic coding of offer value representations. With more attentional effort, neural populations transition faster between representational schemes. We speculate this amplifies the signal to noise of value signals, ie non-normal networks (Goldman, 09')

[Justin Fine @JustFineNeuro]

We wanted to understand the neural basis of rational inattention. We looked at a HUGE dataset of economic choices using >100,000 trials of our favorite gambling task. 4/n

[Justin Fine @JustFineNeuro]

Sometimes, choice is obvious - $5 or a punch in the face? But sometimes, evaluating options takes serious mental energy. The general principle is the foundation of rational inattention theory (Sims, 2003), which has been a driving force in behavioral economics 3/n

[Justin Fine @JustFineNeuro]

Sometimes making the worse choice is the better choice. Investing more [attentional] energy into evaluation your options an and choosing results in a better choice. However, the benefit doesn't always outweigh costs--making it better to evaluate options less precisely 2/n.

[Justin Fine @JustFineNeuro]

Hot new preprint just dropped w/@NeuroPolarbear and @MorenoBote , on where we explore “Rational Inattention" and how it drives optimally irrational choices and neural coding of value. 1/n

https://t.co/B1ALltgo2d