Ali Mahmoodi

@alimahmoodi.bsky.social

Neuroscientist in Oxford, interested in learning and decision making. Former engineer, reader, patzer.

🚨 8 months after, this paper found its home at Science Advances. We came up with a generative brain network model based on game theory and found that the human brain is suboptimal both in terms of wiring cost and communication efficiency. Here's why: www.science.org/doi/10.1126/...

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Kayson Fakhar@kayson.bsky.social · 10mo ago

🚨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...

I am happy to share some good news: my lab has received an NSF CAREER award and an NIH R01 this summer, supporting our work on how the brain handles uncertainty during learning. We will be hiring postdocs and PhD students in the coming year, so please get by email in touch if you are interested.

Why does dopamine ramp up during approach to predictable rewards? In this preprint with Luke Priestley, we explore the idea that dopamine ramps occur when reward predictions inferred using a world-model are used to train striatal cached values.

Dopamine ramps as a normative consequence of dual-process control

Midbrain dopamine neurons are thought to implement a temporal difference (TD) reward prediction error (RPE) that updates cached values stored in striatum. This has been challenged by evidence that dop...

biorxiv.org

New Annual Review with @nathanieldaw.bsky.social: “Planning in the Brain: It's Not What You Think It Is.” We argue that the brain's 'planning' machinery is mostly used for learning from simulated experience, and that thinking prospectively at decision time is just one special case of this process.

Planning in the Brain: It's Not What You Think It Is

The neuroscience of planning has long been analogized to search algorithms in artificial intelligence (AI), which simulate future actions to guide immediate choices. We argue that advances in both neu...

annualreviews.org

Our work on how neural circuits in the cerebellum encode prior probabilities led by Julius Koppen is out now in Nature Neuroscience www.nature.com/articles/s41... Big thanks to Julius Koppen & the whole team! And dedicated to all of us who found inspiration in Bayesian theories of the brain!

Neural circuits encode prior knowledge of temporal statistics - Nature Neuroscience

This study shows that cerebellar circuits learn and encode prior probabilities of event timing. Cell-type-specific neural activity reflects environmental statistics and guides predictive motor behavio...

nature.com

Using non-invasive ultrasonic neuromodulation to boost threat extinction. Finally able to causally unravel amygdala computations in healthy humans. I’ve been dreaming about these capabilities for years and it still feels magical. Pinch me, I can hardly believe how strong these effects are.

Sjoerd Meijer@sjoerdmeijer.bsky.social · 6mo ago

🧠 What makes threat memories so hard to forget? 🐍😱 Using focused ultrasound we provide causal evidence that the human amygdala drives rapid threat learning 🐍⚡ and determines how resistant those memories become to subsequent extinction 🐍🚫 🆕📄 www.science.org/doi/10.1126/...

Check out our new preprint! We directly tested a common assumption in neuroimaging: Is resting-state the best estimate of intrinsic organization? Spoiler: Across datasets and brain systems, multi-task fMRI did better. 👇

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · 7mo ago

Multi-task fMRI outperforms resting-state fMRI for revealing task-invariant organization of the human brain https://www.biorxiv.org/content/10.64898/2026.03.09.710558v1

We review studies showing that when brain areas face similar computational demands in social and non-social context, they perform the same computations. We argue that exaptation (repurposing of traits for new functions) played a key role in brain evolution.

Nature Reviews Neuroscience@natrevneuro.nature.com · 8mo ago

Computational origins of cortical brain circuits for social cognition — a Perspective article by Ali Mahmoodi & Matthew F. S. Rushworth @alimahmoodi.bsky.social #neuroscience #neuroskyence www.nature.com/articles/s41...

🧵 New paper in @NatureComms Feedback-induced attitudinal changes in risk preferences Nasioulas, Potier, Cerrotti, Lebreton & me (2026) Does feedback really improve risky decision-making? Short answer: no! it changes attitudes, not learning. 👇 rdcu.be/e0VcO

Feedback-induced attitudinal changes in risk preferences

Nature Communications - Normative theory predicts that feedback should not affect decisions under risk, but past findings disagree. Here, the authors show that feedback shifts risk-taking by...

rdcu.be

🚨Friends, we’re happy to share that our book is available for pre-order! 🎉 We aimed to cover all the foundations of the topic in an accessible manner for a large audience. It could help set up a bachelor-level curriculum on the topic. Pre-orders are very key for the fate of books: shorturl.at/Dxbif

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