Week 3 of summer of papers! Here we go! 📣🎥📜 If a recurrent dynamical system is selected only for prediction, what structure does it evolve? Not just: can it predict complex timeseries (like Kuramoto-Sivashinsky)? But: what does prediction do to the machine? 1/n 🧵👇 arxiv.org/abs/2606.22765

Perfect open sci + ed. Fueled by the curiosity of great students, backed by the generous support of @neuromatch.bsky.social (1.5 yr of serious compute beyond their Impact Scholar Program), MICrONS data funded by IARPA generated by @alleninstitute.org @jhuapl.bsky.social hosted by @dandiarchive.org

A key point of "Open Science" is that it enables the sci community to make advances that otherwise wouldn't have been possible. Thanks to @bingbrunton.bsky.social group who made the efforts to make the AJILE12 data available on @dandiarchive.org , we were able to develop a cool method. Try it!🫵

Cool paper from Danyal @danakarca.bsky.social & co👇 www.nature.com/articles/s42...

new paper, #NeuroAI 📣📜 Can measured cortical organization be used as an inductive bias for artificial recurrent neural networks? In this work, we ask whether cortical geometry, wiring, and function can push RNNs learn. Not as metaphor, but as measurable structure! 1/n🧵👇 arxiv.org/abs/2606.14975

A good piece from Philip @philipcball.bsky.social

We're thrilled to announce the 2026 #KavliPrize Laureates, scientists pushing boundaries of what humanity knows in #astrophysics #nanoscience #neuroscience. They have revealed new chapters in the story of our universe, the smallest materials, and how the brain works. 1/2

Eukaryotic evolution via massive HGT "Our relative timing estimates suggest early interactions between an Asgard archaea and a Planctomycete (bacterium) ... Thus, the prokaryotic-to-eukaryotic transition was probably a gradual and complex process, with a constant flow of HGT from diverse sources."

How local is a “local” field potential? In our new paper 📜, we introduce Spatially Masked Regression (SMR), a reconstruction-based framework for asking how much of an electrode signal is locally redundant, and how much is embedded in broader distributed dynamics. 1/n 🧵👇 arxiv.org/abs/2606.11415

Recent work from the lab: big contrast between the synaptic dynamics of excitatory and inhibitory synapses!

See the paper card (for link and the blog) on the recent manuscript on inhibitory neurons across different layers of the cortex! ps...the universality paper (quoted tweet) will be a follow up on this one. neurovium.science/papers/Inhib...

Beautiful

@macshine.bsky.social talks with @satra.bsky.social about the #OHBM2026 Abstract Atlas—a community-built tool that places every 2026 abstract inside the broader neuroscience landscape. Where does your work sit in the field? #neuroskyence www.thetransmitter.org/open-source-...

Mistakes happen. That is part of the sci progress. What is most important is reproducibility, verification & honesty. That the authors shared their data and in essence agreed to be criticized is itself necessary. That they opted to retract is honorable. Use @dandiarchive.org to amplify this! 🧵👇1/5

A must-needed benchmarking👇🏼 How much is methodological and how much is conceptual? A reason for us developing #rippl-AI github.com/PridaLab/rip... Don’t miss the next hackathon avant-FENS pre-fens-brainhack.github.io/brainhack2026/ with @acnavasolive.bsky.social & @mattiachini.bsky.social

Murray Sherman viewpoint on the mammalian brain through an evo lens

Perspective piece from Blake @tyrellturing.bsky.social @mandanas.bsky.social 👇

An interesting take on biological experimentation

Without any doubt, if given ownership, governments will try to use AI for surveillance, control and weapons. I completely disagree that the government should own AI companies. Should governments put guardrails that AI companies don't turn to monopolies or disrupt the society negatively? Yes 100%.

An undergrad (literally) asked me "is it ok to cite a 2001 paper?" If you have written a paper >25 yrs ago, rest assured that you are not considered relevant by the new generation. 🫩🤦

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Once again, @dereklowe.bsky.social is not holding back and I am here for it. www.science.org/content/blog... 1/2

😑 the new rules would allow any federal agency to cancel any grant at any time based on the vague assertion that it isn’t in the “national interest.” ... limit international collaborations, and block spending on things like publishing papers and attending conferences. share.google/dROrAIXUnGKz...

This is a fantastic work by my William @wgilpin.bsky.social and a neat follow up of his zero shot forecasting

Beyond Borders, the quarterly column by SFI President David Krakauer, is available on Substack! In “The Biophysics of Paradigm Change,” Krakauer moves from evolved accelerometers to cultural knowledge, paradigm change, and adaptive technology. Read the full column here:

Semantic knowledge is key for human innovation and cultural evolution! Our paper (thread in repost), led by fantastic @anilyaman.bsky.social & rising star @ts-brain.bsky.social is out in @pnas.org! www.pnas.org/doi/10.1073/... I will present this work at APS Barcelona (29/5), happy to chat!

When quantity becomes the metric of scientific value, we end up with twisted hollow metrics. There are a lot of people who publish 30, 40,..60+ papers in a year. That already shows you that they didn't even really read their own published papers. share.google/AuqHPTGuL0mT...

Um... does this mean that NIH funded collaborators of mine will need to get approval to publish with me?!?!?

Maria @geffenlab.bsky.social has a cool piece in @thetransmitter.bsky.social . Which paper changed your life?

this is a cool paper www.nature.com/articles/s41...

The recent issue of Daedalus is a must read. "AI & Science: What Is the Future of Discovery?" www.amacad.org/daedalus/ai-...

Episode #41 in #TheoreticalNeurosciencePodcast: On functional effects of neuronal heterogeneity – with David Dahmen theoreticalneuroscience.no/thn41 While network modelers often assume all neurons to be the same, biology says different. Can this hetereogeneity be a good thing?

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Cool review by Earl @earlkmiller.bsky.social I still remeytgag the the very first "neuro" paper that I presented was Earl's paper 📜😀

Great paper from Chris Kempes and co @sfiscience.bsky.social

Not really surprising that the "free speech on campus" activists don't care that much now that higher education and academic research in the US are actually being dismantled.

Just received @romainbrette.bsky.social book. Very much looking forward to reading through. ps. There is an episode on @braininspired.bsky.social about his new book.

Interesting perspective by Szathmary and colleagues. Just yesterday I saw the news that a company came out to do exactly this! (Recursive AI) w massive funding.

Indeed a great piece. I didn't know that Cosma Shalizi @cshalizi.bsky.social is on Blue sky. Cool. His Bactra is truly a fun maze. :)

Last night, a colleague was complaining to me that papers are going to be obsolete anyway. And I told him, "half" jokingly: Don't worry about the papers, AIs will write papers for AIs. And when you ask them "what happened?", they will say "you don't need to know". 👇 @thetransmitter.bsky.social

Butterfly eggs, perfected micro-geometry which distributes stress across the shell resisting impact, pressure and deformation.-Alix Willemez

The paper shows that high‑gamma field activity and local spiking are distinct. The “hashy” signal often treated as a proxy for spiking is partly generated by other biophysics like dendritic and network‑level currents, not just summed spikes. www.nature.com/articles/s41... #neuroscience

Proud to be a collaborator on this paper on compact deep neural network models of V4, with Ben Cowley (@benjocowley.bsky.social), Pati Stan, & Matt Smith, now finally out in print (by which I mean online).

The vibe shift in tech from “employees are our greatest asset” to “employees are a cost center” occurred very slowly then all at once. I expect tech workers will start embracing tactics of other white collar fields as it becomes clear this is a permanent shift. Claude Code was the jigsaw piece.

It is a great book indeed @dlevenstein.bsky.social (also won Lakatos award). I am rereading it for a Hypothesis Gen engine that I am building. I especially liked chap4. The only problem with the book is that it is heavily physics-dominated. But then that is where the deepest understandings happened.

Turing's 1952 paper on morphogenesis is an elegant expose of a visionary's layers of thought. The rest is science podcast does a terrific job discussing that paper.

Fun