Quinn Lee
@jquinnlee.bsky.social
700 followers 320 following 28 posts
Navigation & memory researcher CIHR Postdoctoral Fellow @ McGill University Incoming Assistant Professor @ University of Alberta (starting July 2025) Accepting graduate student applications to start Fall 2025: https://sites.psych.ualberta.ca/NMSLab
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Reposted by Quinn Lee
jquinnlee.bsky.social
Huge congrats Dan!!
Reposted by Quinn Lee
dlevenstein.bsky.social
Thrilled to announce I'll be starting my own neuro-theory lab, as an Assistant Professor at @yaleneuro.bsky.social @wutsaiyale.bsky.social this Fall!

My group will study offline learning in the sleeping brain: how neural activity self-organizes during sleep and the computations it performs. 🧵
Reposted by Quinn Lee
kasumbisa.bsky.social
Excited to share the sequel to our 2022 paper! In this follow-up, we show that the stable head direction (HD) signals we reported in blind mice rely on stereo olfaction—that is, the comparison of odor info. between the two nostrils.

Link: www.nature.com/articles/s41...

🧵highlights below
Stereo olfaction underlies stable coding of head direction in blind mice - Nature Communications
Stereo olfaction involves comparing odor differences between the two nostrils. Here, using neuronal recordings and a behavioral test, the authors demonstrate that blind mice use stereo olfaction to fo...
www.nature.com
jquinnlee.bsky.social
Beautiful work!! Congrats!!
Reposted by Quinn Lee
cosynemeeting.bsky.social
Looking forward to seeing you all in Montreal this week 🧠🧠🧠
Use #cosyne2025 so we can 👀 what you're up to!!
Reposted by Quinn Lee
sarthakc.bsky.social
1/ Our paper appeared in @Nature today! www.nature.com/articles/s41... w/ Fiete Lab and @khonamikail.bsky.social .
Explains emergence of multiple grid cell modules, w/ excellent match to data! Novel mechanism for applying across vast systems from development to ecosystems. 🧵👇
Global modules robustly emerge from local interactions and smooth gradients - Nature
The principle of peak selection is described, by which local interactions and smooth gradients drive self-organization of discrete global modules.
www.nature.com
Reposted by Quinn Lee
tyrellturing.bsky.social
Position open for Director of Research Innovation & Operations at Concordia as part of the Abundant Intelligences (www.indigenous-ai.net/abundant/) project, which seeks to reshape AI with indigenous insights:

www.kbrs.ca/Career/17387...

Please share!!!

🧪 #MLSky
Director of Research Innovation & Operations (DRIO) – Abundant Intelligences
Application deadline: March 21, 2025
www.kbrs.ca
Reposted by Quinn Lee
neurokim.bsky.social
Very pleased to share our recent work, in which we use LLMs for automated discovery of interpretable models of animal behavior 🪰🐀🕵️‍♀️ that take the form of Python programs 🐍

See below for a summary of key results by
@pcastr.bsky.social!
pcastr.bsky.social
Can LLMs be used to discover interpretable models of human and animal behavior?🤔

Turns out: yes!

Thrilled to share our latest preprint where we used FunSearch to automatically discover symbolic cognitive models of behavior.
1/12
Reposted by Quinn Lee
carandinilab.net
It's finally out!

Visual experience orthogonalizes visual cortical responses

Training in a visual task changes V1 tuning curves in odd ways. This effect is explained by a simple convex transformation. It orthogonalizes the population, making it easier to decode.

10.1016/j.celrep.2025.115235
Reposted by Quinn Lee
carlzimmer.com
American science and medicine has been thrown into chaos and uncertainty over the past week. Here are some stories to get up to speed. 1/12
jquinnlee.bsky.social
🌟🌟🙌🙌🌟🌟
jquinnlee.bsky.social
Allez Shahab!! Ce sera une super classe en IA j’en suis sûr!!
Reposted by Quinn Lee
caswell.bsky.social
Our latest preprint has landed www.biorxiv.org/content/10.1...
Fantastic work from @laurenb29.bsky.social and Will de Cothi showing how many of the cell types associated with subiculum (e.g. boundary vector cells, corner cells) can be understood as successor features. TLDR: SUB not CA1 is the SR
Unifying Subicular Function: A Predictive Map Approach
The successor representation has emerged as a powerful model for understanding mammalian navigation and memory; explaining the spatial coding properties of hippocampal place cells and entorhinal grid ...
www.biorxiv.org
jquinnlee.bsky.social
Wicked new pre-print from @atkeinath.bsky.social
More evidence for a unifying predictive framework of cognitive mapping in the mouse brain! Also first time I have seen reliable between subject differences in maps over protracted time. Nicely done!!
atkeinath.bsky.social
Super excited to share our first preprint of work from the lab! We monitor and manipulate the CA1 representation of mice exploring a multicompartment environment to contrast geometric vs. predictive theories of cognitive mapping.

TLDR: All signs point to a predictive theory!

tinyurl.com/yeyv5p3x
Idiosyncratic navigation determines mouse CA1 representational structure in a multicompartment environment
Organisms from mice to humans rely on cognitive maps instantiated by the hippocampal formation to flexibly and efficiently navigate the world. Traditional theories of cognitive mapping posit that thes...
tinyurl.com
jquinnlee.bsky.social
Really enjoyed reading this (esp back to back with the new preprint from @neurovium.bsky.social)! Seems like there is agreement that modularity and embodied problems in dynamic environments are interesting fronts to push on in the years to come.
Reposted by Quinn Lee
marloscmachado.bsky.social
The Dept. of Computing Science at the University of Alberta is hiring! The new hires in AI will be nominated for a Canada CIFAR AI Chair. We have 3 TT positions:

AI/ML/DL Theory: apps.ualberta.ca/careers/post...
AI + SWE: apps.ualberta.ca/careers/post...
Systems: apps.ualberta.ca/careers/post...
Reposted by Quinn Lee
tomnotgeorge.bsky.social
What are the brain’s “real” tuning curves?

Our new preprint "SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour” argues that existing techniques for latent variable discovery are lacking.

We suggest a much simpl-er way to do things.
1/21🧵
Reposted by Quinn Lee
neurovium.bsky.social
How can biology teach us to design better AI?🤔
Our new paper, w Mike @drmichaellevin.bsky.social "Bio-inspired AI: Integrating Biological Complexity," explores how biological principles like adaptability, context-dependence, and hierarchical processing can inspire the next generation of AI.
🧵👇1/n