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.
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
Want to thank Carolyn Rodriguez and all participants for a great mini panel at #ACNP2024
December 11, 2024 at 5:29 PM