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you know you would

Nouveau conférencier pour “Boussole des politiques en IA”, le 27-28 août! Guillaume Lajoie Guillaume Lajoie, professeur adjoint de l'Université de Montréal, discutera entre autres des façons de renforcer et d’approfondir les concepts de l'IA. mila.quebec/fr/boussole-de…

The most ambitious car-free scheme on the continent, Montréal pedestrianized 11 commercial arteries—totaling 9.4 km—in seven boroughs this summer. A pandemic-era initiative pushed by business leaders, they have quickly become cherished destinations for locals and tourists alike.

A new preprint that revives the theory of continous attractors that may be surprising to you! Despite their mathematical fragility, we show that they are functionally *robust*. No wonder we see approximate continuous attractors in neuroscience often. arxiv.org/abs/2408.00109

Holy shit this is awesome 🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸

We are proud to participate with Espace pour la vie VT Ecostudies has migrated. and Université d'Ottawa | University of Ottawa in the launch of the #eButterfly application. This free application uses AI to identify butterflies all over the world, and lets you share your observations directly from your phone. Read the press

👋Check out the latest findings from our lab at #CCN2024 CogCompNeuro Thread & links to preprints below 👇 (1/n)

Is exponential gradient descent a solution to explain learning in biological neurons? Presentation by Blake Richards at Neuro-AI at UW Computational Neuroscience Center

New research from our lab, led by Karin Saltoun: #brain #asymmetry changes *within-subjects* over years, which explains individual differences in i) everyday behavior and ii) vulnerability to disease; demonstrated at population scale preprint: researchsquare.com/article/rs-479…

Our review on Language in Brains, Minds, and Machines (with Nancy Kanwisher @[email protected] Ev (like in 'evidence', not Eve) Fedorenko 🇺🇦) is now officially published and the volume is OPEN access! annualreviews.org/content/journa…

She’s gonna publish a dozen papers on the internet’s reaction to her terrible breakdancing. This woman is playing 5D chess on an academic scale.

The degree of rigor by Colin (et al) to formalize what’s meant by “biologically plausible” in terms of locality (TL;DR which variables have access to which other variables) is quite impressive, and worth thinking through for anyone interested in neuro/AI.

What are foundation models in neuroscience? I'll be giving a talk next week to the NIH neuroscience ethics working group. I started writing a short blog post which snowballed into this 5,000 word essay neuroai.science/p/foundation-m…

✨🎨🏰Super excited to share our new paper Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness Inspired by biology we 1) get adversarial robustness + interpretability for free, 2) turn classifiers into generators & 3) design attacks on vLLMs 1/12

A fun a16z Bio + Health podcast w/Vijay Pande & Bowen Liu on AI and drug discovery covering, among other things, foundation models in biology, LLMs for small molecules, clinical trial opt, evolution and AI, and many opportunities for AI powered efficiency in drug design

Why does #compneuro need new learning methods? ANN models are usually trained with Gradient Descent (GD), which violates biological realities like Dale’s law and log-normal weights. Here we describe a superior learning algorithm for comp neuro: Exponentiated Gradients (EG)! 1/12

It’s been a long time coming, but I’m thrilled to share my first research paper with Arna Ghosh , Christos Kaplanis, Blake Richards, and Doina! Just accepted to NeurIPS 2024 (see u in Vancouver! 🇨🇦). This will be a longer thread—thanks for following along! arxiv.org/abs/2410.22133 1/11

How can large-scale models + datasets revolutionize neuroscience 🧠🤖🌐? We are excited to announce our workshop: “Building a foundation model for the brain: datasets, theory, and models” at CosyneMeeting #COSYNE2025. Join us in Mont-Tremblant, Canada from March 31 - April 1.