de Gee lab

Excited to share our new paper in @pnas.org with @bnmorillon.bsky.social &
@valentinwyart.bsky.social www.pnas.org/doi/10.1073/...
We study three core inference systems, and how their interaction shapes human learning and decision-making.

Ever wondered how the Dalmatian Dog effect works?

The human brain can quickly learn from a single experience and generalize it to related experiences — an impressive feat so far not matched by AI.

Our new paper in @natcomms.nature.com reveals how this works.
www.nature.com/articles/s41...

Now out! 👉 rdcu.be/eZ27x

Will measuring pupil-size changes be a window into understanding #misophonia severity?

At the University of Amsterdam, Dr. de Gee's (@degeelab.bsky.social) MRF-funded research will develop an affordable, home-based tool to measure physiological responses to trigger sounds.
(1/3)

⏳ Just over 2 weeks left to apply! ⏳

We are looking for talented Cognitive Neuroscientists to join our team at Trinity College Dublin for postdoc positions funded by a European Research Council (ERC) Consolidator grant.
www.jobs.ac.uk/job/DPV296/r...

www.ktsetsoslab.net/_files/ugd/0...

Leveraging insights from neuroscience to build adaptive artificial intelligence Nature Neuroscience - Adaptive intelligence envisions AI that, like animals, learns online, generalizes and adapts quickly. This Perspective reviews biological foundations, progress in AI and...

Interested in the latest advances in neuroscience (neural dynamics and internal models) and how they can be leveraged to build smarter, adaptive AI?

➡️ My first real solo piece 🖤🫶 @natneuro.nature.com

rdcu.be/eWVmA

Locus coeruleus norepinephrine neurons facilitate orbitofrontal cortex remapping and behavioral flexibility Ogg et al. use in vivo imaging techniques to record activity in the locus coeruleus (LC) and the orbitofrontal cortex (OFC) during a reversal learning task in freely moving rodents. They show that man...

Thrilled this is out, led by former PD Cameron Ogg (now with her own lab at @rhodescollege.bsky.social!). It was a driven by a desire to see, in real-time, how LC activity/NE release influences downstream targets in behaving animals. SO hard to do, but Cameron did it! www.cell.com/cell-reports...

What neuroscience can tell AI about learning in continuously changing environments Nature Machine Intelligence - Durstewitz et al. explore what artificial intelligence can learn from the brain’s ability to adjust quickly to changing environments. By linking neuroscience...

Unlike current AI systems, animals can quickly and flexibly adapt to changing environments.

This is the topic of our new perspective in Nature MI (rdcu.be/eSeif), where we relate dynamical and plasticity mechanisms in the brain to in-context and continual learning in AI. #NeuroAI

Acetylcholine reflects uncertainty during hidden state inference To act adaptively, animals must infer features of the environment that cannot be observed directly, such as which option is currently rewarding, or which context they are in. These internal estimates,...

Congrats to Ella for her new paper! She asked a really interesting question about how the brain represents uncertainty during hidden state inference, and in a lovely crossover with theoretical work, she shows that in mice, acetylcholine dynamics play a crucial role. www.biorxiv.org/content/10.1...

Sensory expectations shape neural population dynamics in motor circuits Nature - Experiments with human volunteers and macaques show that expectations produced by probabilistic cueing of future sensory inputs shape motor circuit dynamics in order to increase the...

Thrilled that our paper is out today in Nature!
www.nature.com/articles/s4...

Regularization, Action, and Attractors in the Dynamical “Bayesian” Brain Abstract. The idea that the brain is a probabilistic (Bayesian) inference machine, continuously trying to figure out the hidden causes of its inputs, has become very influential in cognitive (neuro)sc...

🧠 Regularization, Action, and Attractors in the Dynamical “Bayesian” Brain

direct.mit.edu/jocn/article...

(still uncorrected proofs, but they should post the corrected one soon--also OA is forthcoming, for now PDF at brainandexperience.org/pdf/10.1162-...)

Contents of visual predictions oscillate at alpha frequencies Predictions of future events have a major impact on how we process sensory signals. However, it remains unclear how the brain keeps predictions online in anticipation of future inputs. Here, we combin...

@dotproduct.bsky.social's first first author paper is finally out in @sfnjournals.bsky.social! Her findings show that content-specific predictions fluctuate with alpha frequencies, suggesting a more specific role for alpha oscillations than we may have thought. With @jhaarsma.bsky.social. 🧠🟦 🧠🤖

Hierarchical interactions between sensory cortices defy predictive coding Perceptual experience depends on recurrent interactions between lower and higher cortices. One theory, predictive coding, posits that feedback from higher to lower brain regions decreases neuronal activity predicted by higher-level representations. Despite the widespread adoption of predictive coding in neuroscience, the correspondence to neurophysiological findings in sensory cortices remains elusive. Here, we review how the canonical patterns of intra- and inter-cortical interactions that occur during perception and shifts of attention deviate from those predicted by predictive coding. We argue that these circuit interactions are better captured by alternative theories, which we summarize under the umbrella term BELIEF. We review how BELIEF theories account for the inter-areal interactions during attentive perception.

Online Now: Hierarchical interactions between sensory cortices defy predictive coding

Decoding with multivariate pattern analysis is superior for optically pumped magnetometer-based magnetoencephalography compared to superconducting quantum interference device-based systems Background: Multivariate pattern analysis (MVPA) has become an increasingly important method for decoding distributed brain activity from neural electrophysiological recordings by leveraging both temp...

Decoding performance (MVPA) better for OPM-MEG than SQUID-MEG 😎. The improved spatial specificity of OPM-MEG due to the reduced brain-sensor distance is key. And more sensors (beyond 40) don't improve decoding.
Preprint from our recent @thechbh.bsky.social study: www.biorxiv.org/content/10.1...

Motivation as Neural Context for Adaptive Learning and Memory Formation Our memories shape our perception of the world and guide adaptive behavior. Rather than a veridical record of experiences, memory is selective. An accumulating body of work suggests that motivational ...

How does motivation shape learning and memory? In a new review w @ralisonadcock.bsky.social, we propose that under different motivational ‘moods', neuromodulators set distinct neural contexts to determine information processing and memory formation.
doi.org/10.1146/annu...
#psychscisky #neuroskyence

The brain is incredibly densely connected. Human cerebral cortex may have as many as *one trillion* connections.

Most of those cortical connections are recurrent, inside each area. What do they do?

New paper from me in Annual Reviews: 🧪 🧠📈 1/

www.annualreviews.org/content/jour...

Pre- and post-decision signals of certainty in changing minds In a recent study, Goueytes and colleagues combined computational modeling with intracranial recordings to dissect the neural basis of confidence and changes of mind. They reveal a temporally organize...

Our spotlight article on Goueytes et al. (2025) study is now online at Trends in Neurosciences: "Pre- and post-decision signals of certainty in changing minds", by P. Barttfeld, @ncomay.bsky.social, I. Embon & @guillermosolovey.bsky.social www.cell.com/trends/neuro...

A parabrachial hub for need-state control of enduring pain - Nature Activity in a set of parabranchial neurons in the mouse brain is increased during chronic pain, predicts coping behaviour, and can be modulated by circuits activated by survival threats.

Finally out: our recent work with Nick Betley is a view into how the brain reshapes its behavior in the face of competing survival needs- and also a potential angle on treatment targets for enduring pain.

A brief rundown...

www.nature.com/articles/s41...

Neural coding of choice and outcome are modulated by uncertainty in orbitofrontal but not secondary motor cortex - Nature Communications Neural mechanisms underlying flexible learning and decision-making are not fully understood. Using single-cell calcium imaging, authors here found that neurons in orbitofrontal and secondary motor cortex exhibit complementary roles in reward learning, with neurons in the former exerting a sustained role in conditions of uncertainty.

🎇 Excited to finally share JL Romero Sosa’s publication! Results are from single-cell imaging in different subregions of rat frontal cortex during ✨de novo learning. Spoiler: everything is not everywhere all at once www.nature.com/articles/s41...

Principles for proper peer review

For all the knucklehead reviewers out there.
Principles for proper peer review - Earl K. Miller
jocnf.pubpub.org/pub/qag76ip8...
#neuroscience

Our #sEEG study is now published in Nature Communications: rdcu.be/eIkoG! 🧠
Key finding: We discovered neural evidence accumulation for visual perception that's independent of report preparation—recorded from >3000 channels across 3 experiments!
#Neuroscience #Consciousness #OpenAccess

Curious about the human ability to extract regularities from sensory input (i.e., “statistical learning”) and individual differences therein? #CognitiveScience #Learning

Our #Consensus paper presents the collective insights of 27 researchers worldwide 🌎 💬 🌍 💬 🌏 💬:
🔗 doi.org/10.31234/osf...

With 2 postdocs moving on to faculty positions🥳, we're looking to hire someone new. If you're interested in norepinephrine and neural circuits, please apply! tinyurl.com/42bfe24k

The Hippocampus Rapidly Integrates Sequence Representations During Novel Multistep Predictions Memories for temporally extended sequences can be used adaptively to predict future events on multiple timescales, a function that relies on the hippocampus. For such predictions to be useful, they sh...

How do we update our predictions when our environment changes?

The hippocampus rapidly integrates previously distinct sequences to support updated predictions.

Proud of this work with Hannah Tarder-Stoll & @chrisbaldassano.bsky.social!

www.biorxiv.org/content/10.1...

We are hiring for several research positions for this grant, starting early next year. Please reach out if you're interested!
More details on the jobs here: devcompsy.org/wp-content/u...

Two flagship papers from the International Brain Laboratory, now out in ‪@Nature.com‬:
🧠 Brain-wide map of neural activity during complex behaviour: doi.org/10.1038/s41586-025-09235-0
🧠 Brain-wide representations of prior information in mouse decision-making: doi.org/10.1038/s41586-025-09226-1 +

Catecholamines like dopamine and norepinephrine are key in processing info and making decisions. Our study shows these neuromodulators reduce the impact of past choices on current decisions, leading to less biased perceptual judgments. Exciting implications for brain science! #Neuroscience

🧠✨ Exciting new research alert! ✨🧠

Did you know that catecholamines can reduce choice history biases in perceptual decision-making? 🧐🔍

Paper: journals.plos.org/plosbiology/...

With @donnerlab.bsky.social and @swammerdamuva.bsky.social

Ok, but the ones I linked here are also near-threshold auditory detection. Curious to see your results at some point. :-)

Some recent examples of phasic and tonic variations in pupil size predicting choice behavior about auditory stimuli:
- https://pubmed.ncbi.nlm.nih.gov/26074005/
- https://pubmed.ncbi.nlm.nih.gov/32543372/
- https://pubmed.ncbi.nlm.nih.gov/39151432/
- https://pubmed.ncbi.nlm.nih.gov/38277436/