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Charlotte Volk

@charlottevolk.bsky.social
325 followers 414 following 21 posts

MSc Student in NeuroAI @ McGill & Mila w/ Blake Richards & Shahab Bakhtiari

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Charlotte Volk @charlottevolk.bsky.social · 04/08/2026
Excited to share that our paper has now been published in PLOS Computational Biology! journals.plos.org/ploscompbiol...
journals.plos.org
The curriculum effect in visual learning: The role of readout dimensionality
Author summary Learning new skills is fundamental to humans and animals. However, a key challenge in learning is generalization: applying learned skills to new situations not encountered during traini...
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Reposted by Charlotte Volk
Ezekiel Williams @ezekielwilliams.bsky.social · 10/06/2026
1/7 Excited to share my last PhD article, just accepted to ICML 2026! In it, we (me, Alexandre Payeur, Guillaume Lajoie) used dynamical systems theory to study "local" learning in linear recurrent neural networks. See link for the paper, and thread for a brief summary. arxiv.org/abs/2606.00243
arxiv.org
Dynamics and Representation Structure of Local Approximations to Gradient-Based Learning in Linear Recurrent Neural Networks
Biological and neuromorphic recurrent neural networks (RNNs) are subject to spatial and temporal locality constraints on the information that can plausibly be used during learning. A common strategy t...
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Charlotte Volk @charlottevolk.bsky.social · 11/03/2026
Excited to be at #Cosyne2026! I'll be presenting my poster tomorrow during the Thursday session: [1-106] “A biologically inspired predictive coding algorithm with multiplicative and additive feedback”. With @colin-bredenberg.bsky.social and @tyrellturing.bsky.social
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Shahab Bakhtiari @shahabbakht.bsky.social · 15/10/2025
I have open positions for graduate students in my lab. If you’re interested in joining, please apply through the Mila form. I’m particularly interested in (thread below): 1/3 🧠🤖 #MLSky
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Charlotte Volk @charlottevolk.bsky.social · 30/09/2025
🚨 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
tinyurl.com
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...
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Reposted by Charlotte Volk
Hafez Ghaemi @hafezghm.bsky.social · 19/09/2025
Excited to share that seq-JEPA has been accepted to NeurIPS 2025!
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Reposted by Charlotte Volk
Avery HW Ryoo @averyryoo.bsky.social · 06/06/2025
New preprint! 🧠🤖 How do we build neural decoders that are: ⚡️ fast enough for real-time use 🎯 accurate across diverse tasks 🌍 generalizable to new sessions, subjects, and even species? We present POSSM, a hybrid SSM architecture that optimizes for all three of these axes! 🧵1/7
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Charlotte Volk @charlottevolk.bsky.social · 27/03/2025
Excited to be at #Cosyne2025 for the first time! I'll be presenting my poster [2-104] during the Friday session. E-poster here: www.world-wide.org/cosyne-25/se...
world-wide.org
How sequential curricula enhance visual learning generalization: The role of subspace dimensionality
COSYNE 2025 e-Poster by Charlotte Volk, Christopher C. Pack, Shahab Bakhtiari
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Reposted by Charlotte Volk
Shahab Bakhtiari @shahabbakht.bsky.social · 14/03/2025
📢 We have a new #NeuroAI postdoctoral position in the lab! If you have a strong background in #NeuroAI or computational neuroscience, I’d love to hear from you. (Repost please) 🧠📈🤖
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