This is one of the most exciting pieces of science I have had the privilege to be involved in, led by @rui-xu.bsky.social‬, Bob Desimone, and Mark Richardson: the discovery of actual long-range monosynaptic connections in the human brain! For example the FFA connects to the rTPJ, how cool is that?

🚨 The actual paper is now out on @cp-trendscognsci.bsky.social: www.sciencedirect.com/science/arti... In this opinion piece, @duncanastle.bsky.social and I explore the human brain through the lens of optimality and Pareto-optimality theory.

After rereading the cool hidden brain paper (www.frontiersin.org/journals/sys...) I decided to make a new version. Code and everything available here: github.com/koerding/neu... Most popular: hippocampus. Why are diagonal band, medial geniculate nucleus, and interposed nucleus so unpopular?

The prefrontal cortex controls memory organization in the hippocampus www.nature.com/articles/s41... #neuroscience

Thanks for the invite! Really looking forward to this

1/N: Dear colleagues, I would like to share a new paper on the subiculum, part of my PhD with the Neural Computation Group @andrejbicanski.bsky.social @mpicbs.bsky.social . We present “A theory of subicular function and generalized vector coding” that we call Disco. www.biorxiv.org/content/10.6...

My first-author review ‘Determinants of individual navigation ability’ is out in Nature Reviews Psychology, co-authored with the inspiring @hugospiers.bsky.social!!!! 🎉🧠 ➡️ rdcu.be/e7KxG #Neuroscience #Navigation @nature.com @natrevpsychol.nature.com @sfn.org @fens.org @ucl.ac.uk

Can whole-brain fMRI responses to naturalistic video stimuli be predicted using only transcripts? Last year, I gave a tutorial on exactly that. Since the response was very positive, I’ve now released both the tutorial notebook and the trained models publicly.

Now out in Hippocampus. Fei Wang‘s model of Trace Vector Cells and intra-subiculum processing, consistent with know effects in CA1. onlinelibrary.wiley.com/share/CPZPYM...

Reminds me of a similar game I played at the Jew museum in Berlin on being a Jew before and during the Holocaust. It's sad going through it but it's also important to understand.

Excited to give a talk at #Cosyne2026 about my PhD work! We show that RNNs trained on visual search converge on brain-like solutions, producing primate-like behavior and neural representations. Happy to chat if you're at Cosyne! 📅 March 15, 2026 📍 Lisbon, Portugal www.biorxiv.org/content/10.1...

DNN models of the brain are getting bigger. Are we replacing one complicated system in vivo with another in silico? In new work, we seek the *smallest* DNN models of visual cortex, balancing prediction with parsimony. It turns out these compact models are surprisingly small! rdcu.be/e5H8G

1/9 New paper with @gonzalezgarcia.bsky.social and @lindedomingo.bsky.social : “Characterising semantic prioritisation in visual working memory.” Core question: when we hold visual info briefly in mind, what gets accessed first: perceptual details or semantic meaning?

Our new preprint is out on bioRxiv! @doellerlab.bsky.social We show that eye-movement sequences actively organize information by aligning with underlying structure and flexibly adapting to cognitive demands in working memory. www.biorxiv.org/content/10.6...

Excited to see what comes out of it. Having worked on a similar problem during the Algonauts Challenge, I was quite surprised by the results in the paper.

neuroAI comparisons of ANNs to brains do have a range of problems. Even more than I had realized. And I was worried before: www.biorxiv.org/content/10.1...

🧠 The Mind Meeting Series is back! Organized by us & Bicanski Lab, featuring leading scientists in cognitive and computational neuroscience. Our first speaker is @lukaskunz.bsky.social (University Hospital Bonn). 🗓 February 12 | 3:00 PM 📍 In person (Zoom available) We look forward to seeing you!

Ending up in the space between fields where you have no way of effectively communicating your work has always driven me right back into my discipline…

𝗦𝗰𝗵𝗲𝗺𝗮-𝗯𝗮𝘀𝗲𝗱 𝗮𝗰𝘁𝗶𝘃𝗲 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗳𝗿𝗼𝗻𝘁𝗮𝗹 𝗰𝗼𝗿𝘁𝗶𝗰𝗮𝗹 𝗰𝗼𝗱𝗶𝗻𝗴 𝗼𝗳 𝗮𝗯𝘀𝘁𝗿𝗮𝗰𝘁 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 Giovanni Pezzulo et al introduce hierarchical model of goal attainment in PFC. Looks very impressive. #neuroskyence arxiv.org/abs/2601.189...

We make about 3-4 fast eye movements a second, yet our world appears stable. How is this possible? In a preprint led by @lucakaemmer.bsky.social we test the intriguing idea that anticipatory signals in the fovea may explain visual stability. www.biorxiv.org/content/10.1...

"How much of the brain's learned algorithms depend on the fact it is a brain?" arxiv.org/abs/2601.02063 The brain is a neural network, but also a biological organ (unlike artificial neural networks). How much does this matter to cognition?

At @elife.bsky.social you can now include explainer videos with every figure. Like going to a seminar while you engage with the paper. First example here elifesciences.org/articles/106... Click the arrows next to each figure to get a video of @mathiassablemeyer.bsky.social explaining it for you!

Close reading is a technique for careful analysis of a piece of writing, practiced by many ancient cultures, major religions, & academic scholars. The latest fastai course experimented with using AI to go deeper when reading. 1/ www.fast.ai/posts/2026-0...

Are connectome-based network mapping methods and the >200 papers that have used it invalid? New paper out in @NatureNeuro says YES. nature.com/articles/s41... I have concerns about this new paper's methods and conclusions, but am biased. What do others think?

I have a PhD opening for my #VIDI BrainShorts project 📽️🧠🤖! Are you or do you know an ambitious, recent (or almost) MSc graduate with a background in NeuroAI and interest in large-scale data collection and video perception? Check out our vacancy! (deadline Feb 15). werkenbij.uva.nl/en/vacancies...

Our new paper, now published in Cell Reports, asks how the brain adaptively shapes its representations according to the statistical structure of the environment to overcome the limits of working memory capacity. www.cell.com/cell-reports...

Really thrilled that this paper led by @neurozz.bsky.social is now published in its final version in @elife.bsky.social!! This is a memory-focused (as opposed to RL-focused) account of the detailed characteristics of forward and backward awake and sleep replay! elifesciences.org/articles/99931

Another cool paper from Iran: nature.com/articles/s41... Prenatal stress makes mouse offspring more anxious, hyperactive, forgetful, and more drawn to morphine while laterodorsal tegmentum cholinergic neurons become hyperexcitable. From Kerman, a city with reported violent crackdowns on protests.

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

We’d love your feedback on BERG (github.com/gifale95/BERG): pretrained encoding models + a Python toolkit for generating in silico neural responses for in silico experimentation. Your input will make BERG more useful and reliable! forms.gle/pybrqcaqdso2... #NeuroAI #CompNeuro #neuroscience #AI

Interested in the latest advances in neuroscience (neural dynamics and internal models) and how they can be leveraged to build smarter, adaptive AI? ➡️ My first real solo piece 🖤🫶 @natneuro.nature.com rdcu.be/eWVmA

Introducing DroPE: Extending Context by Dropping Positional Embeddings We found embeddings like RoPE aid training but bottleneck long-sequence generalization. Our solution’s simple: treat them as a temporary training scaffold, not a permanent necessity. arxiv.org/abs/2512.12167 pub.sakana.ai/DroPE

Please spread the word🔊My lab is looking to hire two international postdocs. If you want to do comp neuro, combine machine learning and awesome math to understand neural circuit activity, then come work with us! Bonn is such a cool place for neuroscience now, you don't want to miss out.

With some trepidation, I'm putting this out into the world: gershmanlab.com/textbook.html It's a textbook called Computational Foundations of Cognitive Neuroscience, which I wrote for my class. My hope is that this will be a living document, continuously improved as I get feedback.

New preprint: Inference over hidden contexts shapes the geometry of conceptual knowledge for flexible behaviour. In this pre-reg study, our core claim was that we don’t just learn stimulus-reward. We infer hidden context and that inference re-wires attention and neural state space on the fly. 1/8

I'm increasingly of the opinion that we shouldn't give credence to any published result unless it has been subject to a good faith attempt to explain the results by a null model, ideally by an independent group that doesn't believe the result is true, and shown to be robust.

This paper had a pretty shocking headline result (40% of voxels!), so I dug into it, and I think it is wrong. Essentially: they compare two noisy measures and find that about 40% of voxels have different sign between the two. I think this is just noise!

New preprint. We show that in addition to reward prediction errors (RPEs), dorsal striatal dopamine signals encode sensory prediction errors (SPEs), the difference between sensory prior & observed stimulus. www.biorxiv.org/content/10.6...

🚨 Postdoctoral Opportunity for Female Scientists🚨 The University of Vienna is awarding at least 20 fully funded 4 year postdoctoral positions to outstanding female scientists Interested? Get in touch via direct message careers.univie.ac.at/en/postdoc/e... #MicroSky 🧪 #PostDoc @univie.ac.at

Awesome article on medical breakthroughs that came from basic neuroscience research in rodents. Major success examples in postpartum depression, non-opioid pain and migraine treatment. This is exactly why funding basic science is so important! www.thetransmitter.org/drug-develop...

It is not often I get an epiphany from our own research. But this year Torbjørn Ness, Christof Koch, and I realized that when we know how to compute electric brain signals generated by a neuron, we also know how to electrically stimulate the same neuron. journals.plos.org/ploscompbiol...

Amid the rise of billion-parameter models, I argue that toy models, with just a few neurons, remain essential—and may be all neuroscience needs, writes @marcusghosh.bsky.social. #neuroskyence www.thetransmitter.org/theoretical-...

🚨new work with the dream team @danakarca.bsky.social @loopyluppi.bsky.social @fatemehhadaeghi.bsky.social @stuartoldham.bsky.social @duncanastle.bsky.social We use game theory and show the brain is not optimally wired for communication and there’s more to its story: www.biorxiv.org/content/10.6...

Our new paper, now published in @natcomms.nature.com , asks a simple question: when two tasks share a common structure, does the brain learn them more efficiently? Surprisingly, this was not the case. Thread below (1/7) rdcu.be/eSwvU

New preprint! Have you ever wondered, what are these fuzzy simplicial sets, the theoretical framework behind e.g. UMAP? Here we show that you may simply see them as marginal distributions over simplicial sets. This provides a generative model for UMAP. (1/2) arxiv.org/abs/2512.03899

Please repost! I am looking for a PhD candidate in the area of Computational Cognitive Neuroscience to start in early 2026. The position is funded as part of the Excellence Cluster "The Adaptive Mind" at @jlugiessen.bsky.social. Please apply here until Nov 25: www.uni-giessen.de/de/ueber-uns...

✨My first first-author paper is out✨ Entorhinal grid-like codes for visual space during memory formation in @natcomms.nature.com ➡️ rdcu.be/eLRm2 Big thanks to everyone ‪@isabellacwagner.bsky.social‬, @tobiasstaudigl.bsky.social, @olejensen.bsky.social, @doellerlab.bsky.social, @clauslamm.bsky.social

The viral "Definition of AGI" paper tells you to read fake references which do not exist! Proof: different articles present at the specified journal/volume/page number, and their titles exist nowhere on any searchable repository. Take this as a warning to not use LMs to generate your references!

New preprint from the lab and great work by Fei Wang. We show how subiculum trace vector cells can be modeled consistent with known effects in CA1. Traces are driven by a mismatch learning rule to keep associative memories in line with experience. www.biorxiv.org/content/10.1...

Happy to share our new preprint. We found that brain adaptively switches between relational and item-based coding strategies based on the structure of memory contents. @doellerlab.bsky.social www.biorxiv.org/content/10.1...