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Ximeng Mao

@ximengmao.bsky.social
21 followers 27 following 2 posts

PhD student at Mila – Quebec AI Institute and University of Montreal. Neural-AI / Brain-compute interface.

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Reposted by Ximeng Mao
shivashriganesh.bsky.social @shivashriganesh.bsky.social · 21/09/2026
We’re excited to share BrainWideBench, a new benchmark for evaluating how models of neural activity generalize across animals and tasks! 📄 Check out the paper here! arxiv.org/abs/2609.22064 Special shoutout to @alx-adr.bsky.social, who contributed equally as co-first authors!
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Ximeng Mao @ximengmao.bsky.social · 22/07/2026
Come check out our latest MOJO framework that unlocks self-supervised learning for individual spike tokens! Proud to have done it with our amazing team!
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Reposted by Ximeng Mao
Chen Jiang @chenjiang01.bsky.social · 04/11/2025
Excited to share that our work ‘Simultaneous detection and estimation in olfactory sensing’ with @mattyizhenghe.bsky.social, @neurovenki.bsky.social , @cpehlevan.bsky.social, @jzv.bsky.social and @paulmasset.bsky.social has been launched! 1/7
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Reposted by Ximeng Mao
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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Ximeng Mao @ximengmao.bsky.social · 06/06/2025
Transformer is too slow to use? Come check out our new preprint showing how our proposed POSSM achieves causal prediction in milliseconds, and most importantly, it transfers!
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Reposted by Ximeng Mao
Avery HW Ryoo @averyryoo.bsky.social · 06/06/2025
Stay tuned for the project page and code, coming soon! Link: arxiv.org/abs/2506.05320 A big thank you to my co-authors: @nandahkrishna.bsky.social*, @ximengmao.bsky.social*, @mehdiazabou.bsky.social, Eva Dyer, @mattperich.bsky.social, and @glajoie.bsky.social! 🧵7/7
arxiv.org
Generalizable, real-time neural decoding with hybrid state-space models
Real-time decoding of neural activity is central to neuroscience and neurotechnology applications, from closed-loop experiments to brain-computer interfaces, where models are subject to strict latency...
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Reposted by Ximeng Mao
Dane Carnegie Malenfant @dvnxmvlhdf5.bsky.social · 05/06/2025
Preprint Alert 🚀 Multi-agent reinforcement learning (MARL) often assumes that agents know when other agents cooperate with them. But for humans, this isn’t always the case. For example, plains indigenous groups used to leave resources for others to use at effigies called Manitokan. 1/8
Manitokan are images set up where one can bring a gift or receive a gift. 1930s Rocky Boy Reservation, Montana, Montana State University photograph. Colourized with AI
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