Really impressive work connecting the clinical manifestations of a neurodevelopmental disorder all the way down to the underlying cellular and synaptic mechanisms. Huge congratulations to Sam @gritz122.bsky.social for the tremendous amount of work that went into this!

Aaron Milstein@neurosutras.bsky.social · last mo.

Our new preprint #manuskrypt is a labor of love and has a profound story behind it. @gritz122.bsky.social @argalloni.bsky.social (1/11) www.biorxiv.org/content/10.6...

Excited to share this preprint from @ianoldenburg.bsky.social . To evoke movement with holo stim, you need the right pattern at the right time! Interestingly, the preparatory state before spont motion is not the same as the state permissive for evoked motion. Dig in! www.biorxiv.org/content/10.6...

The Importance of Synchrony in the Neural Control of Movement

Throughout the mammalian cortex, populations of neurons must work together to enact behaviors. While population recordings in motor cortex have revealed many aspects of when neurons fire during behavi...

biorxiv.org

1/ Complex behavior demands the sequential coordination of hundreds of muscle groups. The body is mapped topographically in the brain, but does neural activity actually propagate across these maps to organize sequential action? Our new paper in Science: doi.org/10.1126/scie... 🧵

Speedy, spiraling electrical waves may be key to brain’s information flow Rotating neuronal waves are built into brain anatomy and help coordinate far-flung regions, mouse imaging study suggests www.science.org/content/arti... #neuroscience

Speedy, spiraling electrical waves may be key to brain’s information flow

Rotating neuronal waves are built into brain anatomy and help coordinate far-flung regions, mouse imaging study suggests

science.org

New neuromorphic/SNN paper with @pengfei-sun.bsky.social Zhe Su, @achterbrain.bsky.social @giacomoi.bsky.social and @danakarca.bsky.social: www.nature.com/articles/s42... Long story short: neat trick to augment SNNs with a tiny memory buffer to improve performance at low energy/param cost. 🤖🧠🧪

Innatera is hiring a Senior Field Application Engineer to join our growing US-based team 🚀 If you like tackling hard problems at the intersection of hardware and AI engineering, and want to work on cool neuromorphic computing tech, check out the job posting: jobs.ashbyhq.com/innatera/0b6...

Senior Field Application Engineer - USA

About Us: Innatera is a rapidly growing Dutch semiconductor company that develops ultra-efficient neuromorphic processors for AI at the edge. These microprocessors mimic the brain’s mechanisms for pr...

jobs.ashbyhq.com

I am so proud to share @gritz122.bsky.social my first PhD student's first preprint! This #compneurosky #neuroscience study tackles a controversial question in hippocampal place cell research – do place fields require spatially tuned synaptic inhibition? (1/5) www.biorxiv.org/content/10.6...

We're hiring for a project on #SpikingNeuralNetworks and #neuromorphic computing, to start in October this year, for 36 months. Can hire at pre- or post-PhD level. Email me informally, or apply at the link below. Share with your networks / anyone who would be interested. 🤖🧠🧪

George A. Constantinides@gconstantinides.bsky.social · 5mo ago

Interested in a PhD or postdoc in digital neuromorphic computing? @neural-reckoning.org, Christos Bouganis and I are recruiting! Please share with anyone who may be interested. Applications close on 15 May 2026. www.imperial.ac.uk/jobs/search-...

Happy to see the main paper from my postdoc finally out!

Aaron Milstein@neurosutras.bsky.social · 6mo ago

Our latest publication grapples with how the brain could implement gradient descent by sending learning targets top-down, gating plasticity with dendritic inhibition, and updating synaptic weights with biologically observed learning rules like BTSP. www.cell.com/cell-reports...

Biology is full of coconuts. 🥥

Joseph Guhlin@josephguhlin.bsky.social · 6mo ago

Coconuts

Scientists are always doing what's interesting to them, but I think that's the wrong approach. We should be going after all the stuff that bores us. Because it's actually not boring at all once you get into it, and it's precisely the things we think are going to be boring that open our minds.

I tracked every keyword in 22 years of Cosyne abstracts to map how computational neuroscience evolved — from Bayesian brains to neural manifolds to LLMs — and where it's heading next.

22 years of Brain Science: what CoSyNe tells us about the evolution of Neuroscience

Tracking the intellectual DNA of Computational and Systems Neuroscience through its flagship meeting

open.substack.com

The field of #neuromorphics is lacking *accessible*, *intuitive*, and *practical* introductions. Ramashish Gaurav, Petruț Antoniu Bogdan, and I are setting out to fix this with a book on Practical Spiking Neural Networks! ✅ Any and all contributions are welcome! 💕 Early access at: snnbook.net

One of the underrated papers this year: "Small Batch Size Training for Language Models: When Vanilla SGD Works, and Why Gradient Accumulation Is Wasteful" (arxiv.org/abs/2507.07101) (I can confirm this holds for RLVR, too! I have some experiments to share soon.)

Very neat approach to mapping biological circuits to neuromorphic HW! Had the pleasure of providing some feedback to Suraj Honnuraiah on an earlier draft of the paper, great to see it finally in print! (I actually missed that it already came out in Oct) Link to paper: www.pnas.org/doi/10.1073/...

Giacomo Indiveri@giacomoi.bsky.social · 10mo ago

Yet another commentary (and rant) on why following the original #neuromorphic approach, using *also* #analog circuits to emulate the physics of cortical circuits, can be fascinating: www.pnas.org/doi/10.1073/...

How does the structure of a neural circuit shape its function? @neuralreckoning.bsky.social & I explore this in our new preprint: doi.org/10.1101/2025... 🤖🧠🧪 🧵1/9

With Masashi launching his new lab, we’ll be recruiting a new postdoc in the Oldenburg Lab. Work: high-precision multiphoton holography, neural coding, motor cortex circuits, all-optical physiology. If you’re interested, just reach out.

1/6 New preprint 🚀 How does the cortex learn to represent things and how they move without reconstructing sensory stimuli? We developed a circuit-centric recurrent predictive learning (RPL) model based on JEPAs. 🔗 doi.org/10.1101/2025... Led by @atenagm.bsky.social @mshalvagal.bsky.social

When you join a lab to do some voltage imaging

Last week was my last at Rutgers University. After nearly 5 years in the US, I am moving to the Netherlands to join Innatera, a neuromorphic computing startup pushing the boundaries of what we can do with ultra-efficient hardware running SNNs for edge computing.

There was never any point to having reference letters. That's why we've all started using AI to do this nonesense task. References should only be used for short-listed candidates for important positions/awards, and ideally, be done via a call to get the most honest opinion possible.

Michael Hoffman@michaelhoffman.bsky.social · 10mo ago

From my discussions with other faculty, the use of generative AI I hear about the most is writing reference letters. What's the point of having reference letters anymore if everyone is just having them written by machine?

Psst - neuromorphic folks. Did you know that you can solve the SHD dataset with 90% accuracy using only 22 kb of parameter memory by quantising weights and delays? Check out our preprint with @pengfei-sun.bsky.social and @danakarca.bsky.social, or read the TLDR below. 👇🤖🧠🧪 arxiv.org/abs/2510.27434

Exploiting heterogeneous delays for efficient computation in low-bit neural networks

Neural networks rely on learning synaptic weights. However, this overlooks other neural parameters that can also be learned and may be utilized by the brain. One such parameter is the delay: the brain...

arxiv.org

With my great advisors and colleagues, @achterbrain.bsky.social @zhe @danakarca.bsky.social @neural-reckoning.org, we show that if heterogeneous axonal delays (imprecise) can capture the essential temporal structure of a task, spiking networks do not need precise synaptic weights to perform well.

Dan Goodman@neural-reckoning.org · 10mo ago

Psst - neuromorphic folks. Did you know that you can solve the SHD dataset with 90% accuracy using only 22 kb of parameter memory by quantising weights and delays? Check out our preprint with @pengfei-sun.bsky.social and @danakarca.bsky.social, or read the TLDR below. 👇🤖🧠🧪 arxiv.org/abs/2510.27434

Really enjoyed reading this short opinion piece by Tim O'Leary. I think it echoes the classic Feynman quote "what I cannot create I do not understand". I think engineering approaches such as neuromorphic computing will prove fundamental to scientific understanding of how biological brains work

Kyle@darsnack.bsky.social · 11mo ago

Personal bias but I liked this transmitter article: www.thetransmitter.org/systems-neur... “You won’t catch an engineer trying to formulate a grand unified theory of the brain” “Engineers know how to make things work […] This is what makes engineering closer to biology than to other […] sciences”

Reminder this is happening this Wed/Thu. Free spiking neural network conference - registration required (see below).

Dan Goodman@neural-reckoning.org · 11mo ago

Spiking NN fans - the #SNUFA workshop (Nov 5-6) agenda is finalised and online now. Make sure to register (free) soon. (Note you can register for either day and come to both.) Agenda: snufa.net/2025/ Registration: www.eventbrite.co.uk/e/snufa-2025... Thanks to all who voted on abstracts! 🤖🧠🧪

My co-authors have yet to move to Bluesky, so I'm pleased to announce our latest work has just been published in @nature.com Neuroscience. Amazing work led by Junheng Li, revealing that falling asleep follows a predictable bifurcation pattern #neuroskyence #sleep www.nature.com/articles/s41...

Falling asleep follows a predictable bifurcation dynamic - Nature Neuroscience

Li et al. propose a conceptual framework to study the phenomenon of falling asleep based on electroencephalogram data. They show that a tipping point marks the brain’s nonlinear wake-to-sleep transiti...

nature.com

MSR NYC is hiring senior researchers in AI, both broadly in AI/ML & in specific areas (post-training, test-time scaling, modular transfer learning, science of deep learning). aka.ms/msrnyc-jobs We're reviewing on a rolling basis, interviews in Nov/Dec. Please apply here: tinyurl.com/MSRNYCjob

Microsoft Research Lab - New York City - Microsoft Research

Apply for a research position at Microsoft Research New York & collaborate with academia to advance economics research, prediction markets & ML.

aka.ms

Want to make publication-ready figures come straight from Python without having to do any manual editing? Are you fed up with axes labels being unreadable during your presentations? Follow this short tutorial including code examples! 👇🧵

Check out my new article: vitalstatistics.kareemcarr.com/p/a-simple-e...

Message for participants of the #SNUFA 2025 spiking neural network workshop. We got almost 60 awesome abstract submissions, and we'd now like your help to select which ones should be offered talks. Follow the "abstract voting" link at snufa.net/2025/ to take part. It should take <15m. Thanks! ❤️