Computational / Theoretical / Statistical Neuroscientist.
Also @memming.bsky.social
Group leader @Neuro_CF
(formerly Associate professor @SBUNeurobiology)
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. https://t.co/H37rUSpUoE
GB300 optimized training code for "Memory By Design" Bayesian layer that outperforms Mamba-3 in some early 100M scale tests in speed and loss by a wide margin. Using it for H-nets soon if it continues to work well. https://t.co/AJSHpcMSsQ
Human Self Model for Embodied Intelligence.
Open-source Project-Papers-Code:
https://t.co/tNhOd6BljH
MS-Human-700: Whole-body Human Musculoskeletal Modeling and Control.
Hi all, I have a new result I'm excited to share. It turns out that *all existing implementations* of softmax and cross-entropy (that's JAX, PyTorch, textbooks, etc) have a subtle bug --- two bugs, actually. A simple rewrite fixes both, and eliminates "slingshots" when grokking:
Looking for a PhD program where you can study vision from different perspectives (computer vision, visual neuroscience, visual perception, image processing)? Consider applying to NYU!
https://t.co/z2ipuNqnFP
@andrewgwils@plazined maybe it's psychologically addictive and ego-boosting to the extent that they can't stop despite the negative impacts on their career?
Congratulations to @lab_plotkin on the great paper in Neuron! In it, they investigate the connectivity between the amygdala and dorsolateral striatum in a mouse model of OCD. Read more about the work in this @sbunewsdesk feature: https://t.co/lB7x30rTSk
1/14 🧠 Our paper is out in Science Advances!
S. Amin Moosavi, Sai Sumedh R. Hindupur, Hideaki Shimazaki
Population coding under the scale invariance of high-dimensional noise
Science Advances 12, eadz9632, 2026
https://t.co/qlsxNWHVqy
🎨 Robin Hoshino
Interested in a #PhD in machine learning & theoretical neuroscience?
Applications for 2027 entry to the Gatsby Unit PhD programme now open!
💰 Fully-funded 4-year programme
🤝 Close links to Sainsbury Wellcome Centre & the ELLIS Unit @ UCL (@uclcsml)
ℹ️ https://t.co/Im1iRIbQx2
Skirball Theater events will again be streamed live 🖥️: https://t.co/cEfC2LD8gd
We aim to provide recordings of all parallel events after the conference.
Full event schedule: https://t.co/M5Vt30hyLt
At 3:45pm we introduce this year's parallel GAC Debates:
Is NeuroAI adopting the right methods & frameworks? 🖥️
Representations or Transformations: What Should Models of Neural Population Activity Explain?
Do World Models emerge in networks trained for prediction?
1/7 Stop by our #ICML2026 spotlight poster next week!
https://t.co/VhEdW65CPz
We unify self-supervised learning (SSL) algorithms: contrastive, VICReg, stopgrad and more, under a single principle: latent distribution matching (LDM).
Paper: https://t.co/9RrpyCJhrx
Astera Neuro is hiring! Come join our effort to decipher how activity across billions of neurons becomes the conscious experience of the world and ourselves.
Senior software engineer: https://t.co/5Q06R12MaB
Senior mechanical engineer:
https://t.co/4G2nJ6bHiy
@JedMcCaleb@seemaychou@AsteraInstitute
🧠🗣️ Ever stumbled over your words, realizing only after speaking them outloud? Your brain might not have followed the plan. New preprint on the neural ensemble organization of speech motor plans and what it means for speech BCIs https://t.co/f7zpqNDKSc 1/10
I've been a happy customer of @TheBrainTech product since 2015 or before, using the free tier which had basic cloud sync function. I finally upgraded to the PRO version and paid $200+ and I can no longer use the basic sync function... am I doing something wrong?
If you are at #cosyne2026 come see poster [2-152] Dynamical archetype analysis: Autonomous computation. Ábel Ságodi is presenting how you can compare dynamical systems at behaviorally relevant timescale while keeping the interpretability!
Happy to share that our new paper is out in Nature Communications with Zoe Ashwood, @IntlBrainLab, and @jpillowtime!
We study how animals switch between internal decision-making states in non-stationary environments using a GLM-HMM framework.
https://t.co/gZoqFwgcZx