Sadly, applications to the Advanced Python summer school have dropped significantly over the past 2 years.
Plus, there'll be no external funding for the 1st time in *17 years*.
Likely all because of GenAI - but programming skills still matter🔥
Deadline May 3, please help by sharing:
aspp.school
Exactly one year after sharing this gigantic review arxiv.org/abs/2504.09614, we just shared 56TB of data with the world: Entirely new experiments described in the review. And more is coming...
IMO even better would be to have eLife-reviewer-style instant messaging.
Easily anonymous, less biased, and allows for more thoughtful discussion. Allows the authors to clarify misunderstandings before doing the work under the threat of rejection. @behrenstimb.bsky.social
The supply of blood to brain tissue is thought to depend on the overall neural activity in that tissue, and this dependence is thought to differ across brain regions and across brain states. However, studies supporting these views have measured neural activity as a bulk quantity and related it to blood supply following disparate events in different regions. Here we measure fluctuations in neuronal activity and blood volume across the mouse brain, and find that their relationship is consistent across brain states and brain regions but differs in two opposing brainwide neural populations. Functional ultrasound imaging (fUSI) revealed that whisking, a marker of arousal, is associated with brainwide fluctuations in blood volume. Simultaneous fUSI and Neuropixels recordings showed that neurons that increase activity with whisking have distinct haemodynamic response functions compared with those that decrease activity. Their summed contributions predicted blood volume across states.Brainwide Neuropixels recordings revealed that these opposing populations coexist in the entire brain. Their differing contributions to blood volume largely explain the apparent differences in blood volume fluctuations across regions. The mouse brain thus contains two neural populations with opposite relations to brain state and distinct relationships to blood supply, which together account for brainwide fluctuations in blood volume.
How does blood flow relate to brain activity? We discovered that it reflects two neural populations affected oppositely by arousal. Together, they explain neurovascular coupling in all brain regions and brain states!
Out today in Nature: rdcu.be/fdC2A
@uclbrainscience.bsky.social
I'd let reviewers pick their own spirit animal 🐱🐶🦊
Btw, I think a hybrid approach works best: written review to structure the arguments, but then a direct discussion to avoid the endless back-and-forth that can take ages. I think that real-time exchange is where a lot of clarity happens.
Why rely on slow, written exchanges that take months and are prone to misunderstanding, when we could enable faster and direct scientific dialogue between authors and reviewers?
Real-time discussions could significantly improve clarity and efficiency, while still preserving anonymity when needed.
Categorization is ‘baked’ into the brain — a Perspective by Lisa Feldman Barrett & Earl K. Miller
@lisafeldmanbarrett.com @earlkmiller.bsky.social
#neuroscience #neuroskyence
www.nature.com/articles/s41...
I think we finally made really significant progress on the biggest unsolved "developmental AI" problem: learning from human-scale data. Key idea: zero-shot world models that support concept extraction via approximate causal inference. amazing collab w/ @mcxfrank.bsky.social @khaiaw.bsky.social
Excited to share our new preprint: "Do Machines Fail Like Humans? A Human-Centered Out-of-Distribution Spectrum for Mapping Error Alignment" led by
@binxia.bsky.social w @ken-lxl.bsky.social & co-senior author Luke Dickens (UCL)
🤖🧵👇
Link: arxiv.org/abs/2603.07462
🧠📈#PsychSciSky #compneuro #mlsky /1
We’ve got an exciting new thing to share! We have causal evidence (using TMR) that memory reactivation during sleep promotes abstract understanding of underlying structure, allowing transfer learning in a new domain with zero superficial feature overlap with the learned one.
My photo shows a profile view of a small horse figurine with head to the left, displayed against a dark background. Sculpted from mammoth ivory, the surface is a mottled greyish-earthy-brown colour with a shiny patina. It was once likely pale white in colour. It measures 2.5 cm height, 4.8 cm width, and 0.7 cm depth. The head is gracefully lowered with a long and elegant curving neck, and a convex curved back. The four legs are incomplete. The top of the tail remains. The eyes, nostrils, and mouth are carved as indents. The ‘Vogelherd Horse’ was excavated in 1931, together with a number of other ivory animal figurines from the Vogelherd Cave, Swabian Jura, Germany. It is the oldest known sculpture of a horse. On display at the Museum of Ancient Cultures, at Hohentübingen Castle, Tübingen, Germany.
Something ancient and wonderful for the weekend!
A tiny horse figurine carved from mammoth ivory about 40,000 years ago!
Imagine the #IceAge artist at work, sitting by the warmth of a fire, creating what is the world’s oldest known figure of a horse!
📷 by me
#Archaeology
Ten simple rules for postdoctoral mums to stay competitive in academia
journals.plos.org/ploscompbiol...
A neurodevelopment-inspired warm-up strategy to address uncertainty calibration: networks are briefly trained on random noise and labels before exposure to real data, leading to well-calibrated confidence and strong detection of unknown inputs.
Cool results!
#NeuroAI
www.nature.com/articles/s42...
A “Neural Computer” is built by adapting video generation architectures to train a World Model of an actual computer that can directly simulate a computer interface.
Paper: arxiv.org/abs/2604.06425
Code: github.com/metauto-ai/N...
Cool work led by Mingchen Zhuge et al. from Schmidhuber’s lab!
Can we really measure replay in humans using MEG with current methods? In our most recent paper we simulated replay under realistic conditions via a novel hybrid approach with astonishing results.
we're delighted that it has now been published @elife.bsky.social!
elifesciences.org/articles/108...
The revised version of our paper on the impact of top-down feedback is now out @elife.bsky.social:
doi.org/10.7554/eLif...
tl;dr: we show that using human-brain-like feedback/anatomy in a deep RNN leads to human-like visual biases!
This work was led by @tmshbr.bsky.social
#NeuroAI 🧠📈 🧪
www.science.org/doi/10.1126/...
"mental imagery reactivates the same sensory codes used during visual stimuli, suggesting the existence of a generative model capable of synthesizing detailed sensory contents from an abstract, semantic representation."
🔥 We're very pleased to release our latest study 🧠: "Temporal structure of the language hierarchy within small cortical patches"
Paper → arxiv.org/abs/2604.03021
🧵 Summary thread below: 1/7
⚫️ Excited to share the full speaker line-up for the #NeuroAI Symposium 2026 ⚫️
Registrations have been beyond expectations 🎉 and will be closing soon!
We still have a few poster and short talk slots open, so if you’d like to present your work, don’t miss the chance! 👇
neuroaisymposium.com
If you need a method to infer causality from neural data, even when the signal is short, check our recent paper:
Paper: joss.theoj.org/papers/10.21...
Code: github.com/CMC-lab/Tran...
New preprint! w/ @mheilbron.bsky.social
We found that, even during simple natural scene viewing, human visual cortex predicts—hierarchically in central vision and at higher levels peripherally—reconciling classical predictive coding with recent evidence from animal models and AI (e.g. JEPA) (1/10)
🧵 I gave Claude two things: a short paper (doi.org/10.1073/pnas...) and a raw behavioural dataset with 3 lines of variable descriptions.
Then I asked it to fit three computational RL models described only by equations in the manuscript. No code, no toolbox, no guidance on the fitting procedure. 1/3
Wanna do neuroscience in Paris but can't find interesting lab?
Want to come do a sabbatical but don't know who to collaborate?
Check this webpage aggregating ~all the neuroscience labs (+200) in Paris.
⚠️only the information of 'verified' profiles is reliable⚠️
Please retweet 🙏
parisneuro.fr
PL Neuro is officially live! plneuro.xyz
We exist to break bottlenecks, accelerate progress in neurotech & NeuroAI, and to invest in innovations that benefit humanity.
PL Neuro will focus on 3 core areas:
- Neural augmentation
- Biologically-inspired intelligence
- Whole brain emulation
⚫️ Excited to announce the NeuroAI Symposium 2026! ⚫️
Join us for a day of talks, posters, and discussion. Bringing together researchers at the intersection of Neuroscience & AI 🧠🤖.
✅ Free registration
📍 Tübingen, Germany
📅 May 5, 2026
👉 Learn more & register: neuroaisymposium.com
#NeuroAI
New paper out in @cp-neuron.bsky.social 🎉
What determines contextual modulation in V1? Why does the visual surround sometimes facilitate and sometimes suppress a neuron's response to its preferred stimulus?
Want to talk to the past? Here' an LLM "trained entirely from scratch on a corpus of over 28,000 Victorian-era British texts published between 1837 & 1899, drawn from a dataset made available by the British Library"
Quite different from an LLM roleplaying a Victorian. huggingface.co/spaces/tvent...
🚨It seems that PFC is not only the CEO of the brain but is also contributing to vision even in the absence of a task! 🧵 1/4
www.biorxiv.org/content/10.6...
A great entry into the proposals available for physiologically plausible gradient descent!
I think the way they use dendrite targeting inhibition in this model is particularly elegant.
Time to start testing these ideas folks!!!
#neuroscience 🧪 #NeuroAI
