Patrick Mineault
@patrickmineault.bsky.social
4.4K followers 580 following 300 posts
NeuroAI, vision, open science. NeuroAI researcher at Amaranth Foundation. Previously engineer @ Google, Meta, Mila. Updates from http://neuroai.science
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Reposted by Patrick Mineault
charlottevolk.bsky.social
🚨 New preprint alert!

🧠🤖
We propose a theory of how learning curriculum affects generalization through neural population dimensionality. Learning curriculum is a determining factor of neural dimensionality - where you start from determines where you end up.
🧠📈

A 🧵:

tinyurl.com/yr8tawj3
The curriculum effect in visual learning: the role of readout dimensionality
Generalization of visual perceptual learning (VPL) to unseen conditions varies across tasks. Previous work suggests that training curriculum may be integral to generalization, yet a theoretical explan...
tinyurl.com
Reposted by Patrick Mineault
mace-lab.bsky.social
Thrilled to share that our work is now published in Science! ✨

We found a preference for visual objects in the mouse spatial navigation system where they dynamically refine head-direction coding. In short, objects boost our inner compass! 🧭

www.science.org/doi/10.1126/...

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Reposted by Patrick Mineault
gunnarblohm.bsky.social
Having fun facilitating this amazing group of young Profs at the #Neuro4Pros workshop with @kordinglab.bsky.social and @meganakpeters.bsky.social, @yaelniv.bsky.social, and Hannah Bayer.

Watch out world: this is the next generation of leaders!

compneurosci.com/Neuro4Pros/i...
patrickmineault.bsky.social
So many arguments boil down to "my semantic boundaries are slightly different than yours"
Reposted by Patrick Mineault
pessoabrain.bsky.social
𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻 𝗶𝘀 𝗲𝗺𝗲𝗿𝗴𝗲𝗻𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗯𝗿𝗮𝗶𝗻
by Earl K Miller, Scott L Brincat, Jefferson E Roy
This promises to be a must read
One day we should create an online journal club to just read these kinds of papers!
#neuroskyence
doi.org/10.1016/j.co...
Reposted by Patrick Mineault
shahabbakht.bsky.social
A few years ago, with @tyrellturing.bsky.social @patrickmineault.bsky.social and others, we showed one single objective (prediction) was sufficient for explaining specialized pathways of mouse visual cortex: tinyurl.com/2vsjbve7

Super cool to see the same observation now for human visual cortex.
Reposted by Patrick Mineault
k4tj4.bsky.social
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To predict the behaviour of a primate, would you rather base your guess on a closely related species or one with a similar brain shape? We looked at brains & behaviours of 70 species, you’ll be surprised!

🧵Thread on our new preprint with @r3rt0.bsky.social , doi.org/10.1101/2025...
Brain Surfaces of 70 primate species
patrickmineault.bsky.social
RFI: How can brain science shape frontier-scale AGI? The Amaranth Foundation wants your 2-page ideas on how brain science can guide & govern frontier-scale AGI—incl. short-timeline (2025-2028) scenarios. Send ≤2-page ideas by 29 Aug. Link: blog.amaranth.foundation/p/rfi-neuros...
RFI: Neuroscience & the Path to Safe AGI
Safe Artificial General Intelligence through Neuroscience
blog.amaranth.foundation
Reposted by Patrick Mineault
marcusghosh.bsky.social
How can we best use AI in science?

Myself and 9 other research fellows from @imperial-ix.bsky.social use AI methods in domains from plant biology (🌱) to neuroscience (🧠) and particle physics (🎇).

Together we suggest 10 simple rules @plos.org 🧵

doi.org/10.1371/jour...
Reposted by Patrick Mineault
marcelomattar.bsky.social
Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions. doi.org/10.1038/s415...
Discovering cognitive strategies with tiny recurrent neural networks - Nature
Modelling biological decision-making with tiny recurrent neural networks enables more accurate predictions of animal choices than classical cognitive models and offers insights into the underlying cog...
doi.org
Reposted by Patrick Mineault
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. 🧵
patrickmineault.bsky.social
Does anybody have a good review or blog post on advances in neurosymbolic and program induction methods over the last 2 years? I'm looking for something technical that has the depth of explanation I would expect from, say, Lil' Log. My usual tools have failed me.
patrickmineault.bsky.social
This is beautiful. Awe-inspiring science.
patrickmineault.bsky.social
Woo! Thanks for subscribing, all!
patrickmineault.bsky.social
Very cool! However, the code link is broken.
Reposted by Patrick Mineault
hhmijanelia.bsky.social
🪰 A team of Janelia researchers & collaborators have created a new set of tools for studying motor control of wing movements in fruit flies, providing an important #openscience resource for future studies of fly flight & courtship 🧠
hhmi.news/3H3ohn8
Reposted by Patrick Mineault
jennhu.bsky.social
Excited to share a new preprint w/ @michael-lepori.bsky.social & Michael Franke!

A dominant approach in AI/cogsci uses *outputs* from AI models (eg logprobs) to predict human behavior.

But how does model *processing* (across layers in a forward pass) relate to human real-time processing? 👇 (1/12)
Screenshot of Figure 1, which has two panels labeled (a) and (b). The caption states the following. Figure 1: Overview of our study. (a) Experiment 1: We explore whether forward passes show mechanistic signatures of competitor interference, first preferring a salient competing intuitive answer before preferring the correct answer. (b) Experiment 2: We systematically investigate the ability of dynamic measures derived from forward passes to predict indicators of processing load in humans.
Reposted by Patrick Mineault
yoshuabengio.bsky.social
When I realized how dangerous the current agency-driven AI trajectory could be for future generations, I knew I had to do all I could to make AI safer. I recently shared this personal experience, and outlined the scientific solution I envision @TEDTalks⤵️
www.ted.com/talks/yoshua...
The catastrophic risks of AI — and a safer path
Yoshua Bengio — the world's most-cited computer scientist and a "godfather" of artificial intelligence — is deadly concerned about the current trajectory of the technology. As AI models race toward fu...
www.ted.com
Reposted by Patrick Mineault
benjaminreinhardt.com
Applications are now open for a special cohort of the Brains Accelerator targeting ambitious AI research programs, with a special focus on security and governance capabilities!

spec.tech/ai-brains

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