"The inevitability and superfluousness of cell types in spatial cognition". Intuitive cell types are found in random artificial networks using the same selection criteria neuroscientists use with actual data. elifesciences.org/reviewed-pre... 1/2

Exciting "new" work illustrating our broken publishing system. Seb presented this work online at neuromatch 2.0 at the height of the pandemic. Then, Xin-Ya worked years on addressing reviewer comments, which added some rigor but didn't change the message. 1/2

When AI surpasses human performance, what's left for humans? We find that human judgment boosts performance of human-AI teams because humans and machines make different errors. cell.com/patterns/ful... 1/2

Researchers are using LLMs to analyze the literature, brainstorm hypotheses, build models and interact with complex datasets. Hear from @mschrimpf.bsky.social, @neurokim.bsky.social, @jeremymagland.bsky.social, @profdata.bsky.social and others. #neuroskyence www.thetransmitter.org/machine-lear...

Michael X Cohen on why he left academia/neuroscience. mikexcohen.substack.com/p/why-i-left...

Some UK dude is trying to extort me, demanding money to not spread made-up stories. I reported to the poilice after getting flooded with phone messages I never listen to, etc. @bsky.app has been good about deleting his posts and accounts. If contacted, don't interact, but instead report to...1/2

New blog w @ken-lxl.bsky.social, “Giving LLMs too much RoPE: A limit on Sutton’s Bitter Lesson”. The field has shifted from flexible data-driven position representations to fixed approaches following human intuitions. Here’s why and what it means for model performance bradlove.org/blog/positio...

New blog, "Backwards Compatible: The Strange Math Behind Word Order in AI" w @ken-lxl.bsky.social It turns out the language learning problem is the same for any word order, but is that true in practice for large language models? paper: arxiv.org/abs/2505.08739 BLOG: bradlove.org/blog/prob-ll...

"Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies" Oddly, we prove LLMs should be equivalent for any word ordering: forward, backward, scrambled. In practice, LLMs diverge from one another. Why? 1/2 arxiv.org/abs/2505.08739

"Coordinating multiple mental faculties during learning" There's lots of good work in object recognition and learning, but how do we integrate the two? Here's a proposal and model that is more interactive than perception provides the inputs to cognition. www.nature.com/articles/s41...

Last year, we funded 250 authors and other contributors to attend #ICLR2024 in Vienna as part of this program. If you or your organization want to directly support contributors this year, please get in touch! Hope to see you in Singapore at #ICLR2025!

Thanks @hossenfelder.bsky.social for covering our recent paper, doi.org/10.1038/s415... Also, I want to spotlight this excellent podcast (19 minutes long) with Nicky Cartridge covering how AI will impact science and healthcare in the coming years, touchneurology.com/podcast/brai...

"Large language models surpass human experts in predicting neuroscience results" w @ken-lxl.bsky.social and braingpt.org. LLMs integrate a noisy yet interrelated scientific literature to forecast outcomes. nature.com/articles/s41... 1/8

"Beyond Human-Like Processing: Large Language Models Perform Equivalently on Forward and Backward Scientific Text" Our take is that large language models (LLMs) are neither stochastic parrots nor faithful models of human language processing. arxiv.org/abs/2411.11061 1/2

Has anyone tried this tool to follow back all of one's followers? github.com/jiftechnify/... It seems legit but I'm weary of giving a password to a third party website. So many people here so suddenly!

I fully support the last sentence of this abstract from @profdata.bsky.social : elifesciences.org/reviewed-pre... "...the complexity of the brain should be respected and intuitive notions of cell type, which can be misleading and arise in any complex network, should be relegated to history." 🧠📈 🧪

🚨Submissions for #CCN2024 are now open at ccneuro.org 🚨 We welcome submissions for 2-page papers (deadline: 12 April) and Generative Adversarial Collaborations (GACs), Keynote+Tutorials, and (new this year!) Community Events (deadline: 5 April). Stay tuned: registration will open in early April!

Here's a recent talk I gave on the braingpt.org project, touching on findings from here, arxiv.org/abs/2403.03230. The video is sectioned for those wishing to skip the bits on explanatory vs. predictive approaches. youtu.be/sDt4-Q_jz7g?...

📢 ERC-funded PhD in our team 📢. Curious about the mechanisms underlying learning and perception? Wish to study them via modelling and neuroimaging? This may be for you! Email me qus. Please circulate 🙏 www.findaphd.com/phds/project...   #HiSciSky #neuroskyence #PsySciSky

"Large language models surpass human experts in predicting neuroscience results" w @ken-lxl.bsky.social and braingpt.org. LLMs integrate a noisy yet interrelated scientific literature to forecast outcomes. arxiv.org/abs/2403.03230 1/6

Why do universities ignore good ideas? mindmatters.ai/2024/03/why-...

#CitAI_seminars: On Thu, March 21 at 16:00 GTM, Bradley C. Love @profdata.bsky.social  will deliver a talk on  "Taming the neuroscience literature with explanatory and predictive models"  More information:   cit-ai.net/seminars.html If you wish to Zoom in, email the organisers or @emp1.bsky.social

Are you interested in getting your science journalism career started? The Transmitter is seeking a summer intern to cover the fast-moving field of neuroscience. Find out more and apply for the role here: simonsfoundation.wd1.myworkdayjobs.com/en-US/simons...

"The inevitability and superfluousness of cell types in spatial cognition" w Ken Luo @robmok.bsky.social Whether place, border, head direction, Jennifer Aniston, or whatever cells, are we fooling ourselves? Are these intuitive findings scientific discoveries? 1/6 www.biorxiv.org/content/10.1...

@quantamagazine.bsky.social made a really cool video about our study and other cool research done this year! www.youtube.com/watch?v=qt6B...

Now published in Ann Rev Psych, just in time for Christmas! I lay out a framework for bridging between neuroscientific work on (subpersonal) confidence and a psychology of personal-level metacognition www.annualreviews.org/doi/abs/10.1...

Join us!

Neuroscientists, please complete the BrainGPT.org survey to build a benchmark to develop and evaluate LLMs as tools for scientific discovery. Here's a link to the 11 question, 15-20 minute survey, research.sc/participant/... Below is a mock up of BrainGPT t-shirts we'll raffle off to participants.

How predictable is neuroscience? Can LLMs outperform humans? Please participate in the BrainGPT.org survey to help us find out. You choose between two versions of a neuro abstract: the original vs. one with altered results. Which is which? research.sc/participant/... 1/2

New results! Led by Brad Love and crew. Higher cortical areas radically reconfigure to stretch representations along task-relevant dimensions. It sure sounds like something they would do, doesn't it? #neuroscience www.biorxiv.org/content/10.1...

"Adaptive stretching of representations across brain regions and deep learning model layers": Using monkey multi-unit recording data, we find representations across cortex (PFC, FEF, LIP, IT) adaptively stretch along task relevant stimulus dimensions. Still migrating; longer thread on twitter :-)

This review in Trends in Cognitive Sci. was fun to write with Pablo Fernandez-Velasco Wayfinding across ocean and tundra: what traditional cultures teach us about navigation A range of insights from research in anthropology to help psychologists/cog-sci/neuroscientists www.cell.com/trends/cogni...

Can learning occur offline w asyncrhonous inputs? Yes, in systems alignment entire embeddings (e.g., visual and linguistic) are mapped in an unsupervised manner. Systems alignment can support children's word learning. IMO, this is an important form of learning neglected in psych, neuro, and ML.

Good News: Microsoft's Accelerating Foundation Models Research initiative has provided computing to help train BrainGPT, a tool to assist neuroscience research. Thank You! Sign-up at BrainGPT.org for updates, including on our forthcoming benchmark slated for late 2023. ·

I’m hiring!! Want to join our team? We need another software engineer! 🔥 hit me up on Linkedin ⬇️