Martin P. Paulus
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mpwpaulus.bsky.social
Martin P. Paulus
@mpwpaulus.bsky.social
I am the Scientific Director of the Laureate Institute for Brain Research in Tulsa, OK, USA.
Reposted by Martin P. Paulus
Perceptual Dysregulation in Psychiatric Nosology has been released! I'm pleased to see that the cover is pretty close to my initial mockup. You can find the entire collection here: link.springer.com/book/10.1007...
November 26, 2025 at 4:32 PM
The latest CTBN dives deep into the neural systems of fear and anxiety — from mitochondria to machine learning.
• Animal & human circuit models
• Risk, sex, and developmental factors
• Cutting-edge treatments (CBT, TMS, neuromodulation)
• Co-occurring disorders (PTSD, autism, schizophrenia)
October 21, 2025 at 2:38 PM
Reposted by Martin P. Paulus
Reposted by Martin P. Paulus
Now available at BP CNNI, my piece with Murray about Difficult to Treat Anxiety: www.sciencedirect.com/science/arti...
Difficult-to-Treat Anxiety: A Neurocomputational Framework
Anxiety disorders, affecting approximately 1 in 9 individuals globally, impose significant socioeconomic and health burdens, with many individuals fai…
www.sciencedirect.com
June 11, 2025 at 3:15 PM
Great work by Hamed to pull this together.
April 23, 2025 at 4:31 PM
A labor of love with my friend & long-time collaborator Murray B. Stein. Addressing Difficult-to-Treat Anxiety: A review integrating computational psychiatry, systems neuroscience, & novel interventions. Mechanistic insights for precision psychiatry. www.biologicalpsychiatrycnni.org/article/S245...
April 3, 2025 at 8:16 PM
Great work by Wes Thompson, Evan White and Chun Chieh Fan at LIBR as well as others: The promise of population neuroscience: understanding brains across diverse groups.
April 3, 2025 at 8:05 PM
I am excited to share a new feature on our LIBR website. In response to a query from one of our research participants who expressed interest in our work and asked whether there were podcasts available about what "LIBR is working on", we have launched a new project.
Sign in - Google Accounts
notebooklm.google.com
March 28, 2025 at 3:00 PM
Exploring options to counter US tariffs? Consider the impact of adjusting Treasury holdings. A nuanced approach, but with potential financial leverage. #EconomicStrategy #GlobalFinance #USTreasuries
March 28, 2025 at 1:03 AM
Reposted by Martin P. Paulus
Amazing story
Until this weekend, I did not know that this is how Daniel Kahneman died. I am neither surprised nor disturbed, and I expect this to become more common.

www.wsj.com/arts-cul...
March 16, 2025 at 1:55 PM
Reposted by Martin P. Paulus
Compelling pushback from @jmgrohneuro.bsky.social and the Board of Scientific Counselors at the National Institute on Mental Health (NIMH) regarding termination of tenure-track investigators driven by DOGE.

1/2
March 6, 2025 at 1:14 PM
Reposted by Martin P. Paulus
As the world grows scarier, let's talk about social connection!

We review its role in addiction & how it's influenced by opioids, now out in Biological Psychiatry (special issue on social homeostasis)

It's @loseth.bsky.social's brainchild & covers A LOT🧠

doi.org/10.1016/j.bi...

#neuroscience
Redirecting
doi.org
February 18, 2025 at 9:07 PM
A tour-de-force by Leandra Figueroa-Hall: A comparison of EV isolation methods from human serum & plasma reveals a trade-off: Precipitation methods (e.g., ExoQuick) yield more EVs, but size-exclusion (SmartSEC, qEV) offers greater purity.
February 14, 2025 at 3:43 PM
Reposted by Martin P. Paulus
A Direct Hit, by @holdenthorp.bsky.social @science.org
www.science.org/doi/full/10....
"This is a moment to unite."
February 11, 2025 at 3:18 PM
My GPT friend tells me: "NIH’s 15% indirect cost cap can be legally challenged under the APA, contract law, & Takings Clause to block this policy. Congress must intervene to protect U.S. science. #FundResearch #NIH"
February 8, 2025 at 1:40 PM
📢 This is an interesting new preprint. 💡 The authors developed a framework using LLMs to boost creativity in scientific research. 🧪 The approach recombines existing knowledge to generate novel ideas, grounded in Boden's theory of combinatorial creativity. arxiv.org/abs/2412.14141
December 26, 2024 at 7:16 PM
🚀 Interesting preprint about AI agent simulations? #LMAgent! A multimodal agent society powered by LLMs, simulating 10,000+ agents in e-commerce scenarios. Realistic behaviors, herd effects, & 40% efficiency boost—paving the way for next-gen social science! 🌐🛍️ #AI #Research arxiv.org/abs/2412.092...
December 21, 2024 at 12:44 AM
Interesting piece about Illbeing ≠ Wellbeing: the study shows overlapping genetic influences but distinct environmental factors shaping mental health. The authors suggest that integration is key for future interventions. #MentalHealth #Wellbeing
December 20, 2024 at 4:31 PM
OpenAI's o1-preview achieves superhuman performance in clinical reasoning: Diagnoses correct in 78.3% of cases, outperforming GPT-4 (88.6% vs 72.9%). Excels in diagnostic & management tasks, scoring 99% on reasoning tests.
#AIinMedicine
arxiv.org/abs/2412.108...
December 17, 2024 at 8:46 PM
In a new preprint Van Calster et al. provides comprehensive guidance on evaluating predictive AI in healthcare. Recommends core metrics: AUROC, calibration plots, net benefit via decision curve analysis. Essential reading for robust AI model validation! 🔗 arxiv.org/abs/2412.10288 #AIHealth #MedAI
December 16, 2024 at 4:33 PM
Deep learning in medical imaging often takes shortcuts, finding spurious patterns instead of meaningful insights (e.g., predicting diet from knee X-rays 🤯). To mitigate this: diversify datasets, mask confounders, use adversarial training, and validate across distributions. #AIethics
The authors point out that AI models base their predictions on sneaky shortcut effects all the time; they're just easier to identify when the conclusions (beer drinking) are clearly spurious.

www.nature.com/articles/s41...
The risk of shortcutting in deep learning algorithms for medical imaging research - Scientific Reports
Scientific Reports - The risk of shortcutting in deep learning algorithms for medical imaging research
www.nature.com
December 16, 2024 at 4:07 PM
Woo-Young Ahn ccs-lab.github.io/team/young-a... gave a fantastic talk at LIBR www.laureateinstitute.org about his work on inverse reinforcement learning and the need for better model-based assessments to make a real difference in mental health. 2024.ccneuro.org/pdf/466_Pape...
December 14, 2024 at 4:37 PM
I want to thank all of those who I had stimulating conversations with at #ACNP2024 always generates tremendous ideas for the future, thank you!
December 12, 2024 at 7:52 PM
For those that are still around at #ACNP2024 consider attending our study group on challenges and opportunities of population neuroscience
December 11, 2024 at 6:15 PM