Bradley Love
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profdata.bsky.social
Bradley Love
@profdata.bsky.social
Senior research scientist at Los Alamos National Laboratory. Former UCL, UTexas, Alan Turing Institute, Ellis EU. CogSci, AI, Comp Neuro, AI for scientific discovery https://bradlove.org
Reposted by Bradley Love
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...
How neuroscientists are using AI
Eight researchers explain how they are using large language models to analyze the literature, brainstorm hypotheses and interact with complex datasets.
www.thetransmitter.org
November 4, 2025 at 4:07 PM
Reposted by Bradley Love
Michael X Cohen on why he left academia/neuroscience.
mikexcohen.substack.com/p/why-i-left...
Why I left academia and neuroscience
Don't worry, this isn't yet another story of rage-quitting.
mikexcohen.substack.com
October 6, 2025 at 5:05 PM
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
July 18, 2025 at 10:14 PM
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...
Giving LLMs too much RoPE: A limit on Sutton’s Bitter Lesson — Bradley C. Love
Introduction Sutton’s Bitter Lesson (Sutton, 2019) argues that machine learning breakthroughs, like AlphaGo, BERT, and large-scale vision models, rely on general, computation-driven methods that prior...
bradlove.org
June 13, 2025 at 2:09 PM
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...
May 28, 2025 at 2:15 PM
"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
Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies
Can autoregressive large language models (LLMs) learn consistent probability distributions when trained on sequences in different token orders? We prove formally that for any well-defined probability ...
arxiv.org
May 14, 2025 at 3:02 PM
"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...
Coordinating multiple mental faculties during learning - Scientific Reports
Scientific Reports - Coordinating multiple mental faculties during learning
www.nature.com
February 17, 2025 at 3:23 PM
Reposted by Bradley Love
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!
Financial Assistance applications are now open! If you face financial barriers to attending ICLR 2025, we encourage you to apply. The program offers prepay and reimbursement options. Applications are due March 2nd with decisions announced March 9th. iclr.cc/Conferences/...
ICLR 2024 Financial Assistance
iclr.cc
January 21, 2025 at 3:52 PM
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 were remarkably accurate in predicting results of studies that they’ve never read before.

www.youtube.com/watch?v=Qgrl...
AIs Predict Research Results Without Doing Research
YouTube video by Sabine Hossenfelder
www.youtube.com
December 13, 2024 at 3:44 PM
"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
November 27, 2024 at 2:13 PM
"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
November 19, 2024 at 1:21 PM
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!
bsky-follow-back-all/ at main · jiftechnify/bsky-follow-back-all
Contribute to jiftechnify/bsky-follow-back-all development by creating an account on GitHub.
github.com
November 19, 2024 at 1:06 PM
Reposted by Bradley Love
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."

🧠📈 🧪
The inevitability and superfluousness of cell types in spatial cognition
elifesciences.org
August 28, 2024 at 4:47 PM
Reposted by Bradley Love
🚨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!
March 27, 2024 at 8:32 PM
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?...
"Taming the neuroscience literature with explanatory and predictive models" (BrainGPT) - YouTube
Chapters:0:00 Introduction3:30 Process models (theoretical, explanatory)16:18 Models as tools (BrainGPT, predictive)39:03 ConclusionsModels can help scienti...
youtu.be
March 20, 2024 at 12:08 PM
Reposted by Bradley Love
📢 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
Cognitive Neuroscience PhD at UCL at University College London on FindAPhD.com
PhD Project - Cognitive Neuroscience PhD at UCL at University College London, listed on FindAPhD.com
www.findaphd.com
March 18, 2024 at 12:54 PM
"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
Large language models surpass human experts in predicting...
Scientific discoveries often hinge on synthesizing decades of research, a task that potentially outstrips human information processing capacities. Large language models (LLMs) offer a solution....
arxiv.org
March 7, 2024 at 10:48 AM
Reposted by Bradley Love
#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
CitAI-Seminars
Website of the Artificial Reseach Centre, CitAI. Seminars.
cit-ai.net
February 21, 2024 at 9:56 PM
Reposted by Bradley Love
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...
January 23, 2024 at 9:47 PM
"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...
The inevitability and superfluousness of cell types in spatial cognition
bioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution
www.biorxiv.org
January 18, 2024 at 2:47 PM
Reposted by Bradley Love
@quantamagazine.bsky.social made a really cool video about our study and other cool research done this year!

www.youtube.com/watch?v=qt6B...
2023's Biggest Breakthroughs in Biology and Neuroscience
A look back at some of the highlights of biology coverage in Quanta Magazine during 2023, including important research progress into the nature of consciousn...
www.youtube.com
December 19, 2023 at 8:01 PM
Reposted by Bradley Love
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...
www.annualreviews.org
December 19, 2023 at 6:13 PM
Reposted by Bradley Love
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.
December 18, 2023 at 8:11 PM