Dozens of AI disease-prediction models were trained on dubious data The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

This is my unsurprised face: 😑
www.nature.com/articles/d41...

My review on the "Confidence-accuracy dissociations in perceptual decision making" is now published. I think that this will be useful to both experts and newcomers to the field.

www.sciencedirect.com/science/arti...

Does aperiodic activity index neural excitability?
Single-unit and LFP recordings during optogenetic interneuron suppression show that aperiodic activity scales with firing, but it depends on context and oscillatory power. New preprint with @juliaveit.bsky.social.
www.biorxiv.org/content/10.6...

Regional topography of auditory and visual attention: An fMRI-based meta-analysis More than three decades of functional magnetic resonance imaging (fMRI) has gathered extensive evidence of auditory and visual attention effects in th…

Regional topography of auditory and visual attention: An fMRI-based meta-analysis

www.sciencedirect.com/science/arti...

Frontal Brain Injury Reduces Sensitivity to Reward-Predictive Cues and Remodels the Nucleus Accumbens www.biorxiv.org/content/10.64898/2026.04...

Hippocampus consolidates memory in the upstate of cortical sleep slow oscillations www.biorxiv.org/content/10.64898/2026.04...

Research Associate in Ultrahigh Field MRI | King's College London

📢 JOB ALERT (repost)

Physics post-doc position for neonatal ultra-high field imaging in London

www.kcl.ac.uk/jobs/143705-...

To accompany my textbook (Computational Foundations of Cognitive Neuroscience) and the class I taught this semester, I'm open-sourcing my lectures slides:
gershmanlab.com/lectures.html
I'll continue to update these as I improve them.

Nadine Dijkstra - Distinguishing imagination and reality in a generative brain YouTube video by MIT Consciousness Club

Nadine Dijkstra's talk at the MIT Consciousness Club is now available here: www.youtube.com/watch?v=rciv....

Biophysical modeling to develop and test mechanistic hypotheses underlying pharmacological EEG biomarkers. Top: Modeling EEG biomarkers begins with picking a specific brain signal that is reliably different between patient populations. An example of a hypothetical EEG biomarker is an auditory event related potential (ERP) that is suppressed in post-treatment (red) relative to pre-treatment (blue). Middle: Biophysical modeling allows for testing mechanistic hypotheses that explain how EEG biomarkers emerge and change with drugs. Hypotheses about which drug mechanisms lead to distinct brain activity patterns must be constructed, and corresponding model parameters identified. Bottom: The default HNN model is used as a starting point to test hypotheses by either manually altering the values of the chosen model parameters, or using automated optimization and inference algorithms. Differences in parameter values pre-to post-treatment correspond to model-based predictions.

Happy to share a new preprint from the @hnnsolver.bsky.social team!🧠💻🎉

"Uncovering putative neural mechanisms of neurotherapeutic impacts on EEG using the Human Neocortical Neurosolver"

📝 www.biorxiv.org/content/10.6...

The 2025 JASP Contributor Award Goes to Mátyás Bukva! - JASP - Free and User-Friendly Statistical Software We are happy to announce that Mátyás Bukva has been awarded the 2025 JASP Contributor Award. As noted on our awards page, Mátyás has contributed important new functionality to JASP. Specifically, Máty...

The 2025 JASP Contributor Award Goes to Mátyás Bukva, for his implementation of the Plot Builder (based on the tidyplots package from Jan Broder Engler). Congrats!!

Blogpost:

jasp-stats.org/2026/04/01/t...

Investigating the analytical robustness of the social and behavioural sciences - Nature When 100 social and behavioural science claims were examined, 34% of reanalyses closely matched the original results, with 74% reaching the same conclusion, revealing limited robustness of single...

Investigating the analytical robustness of the social and behavioural sciences www.nature.com/articles/s41... - glad to have played an ever-so-small part in this!

Cycle-by-cycle respiration waveforms are coupled with the shape of neural oscillations www.biorxiv.org/content/10.64898/2026.04...

We are recruiting!

My lab at the University of Haifa is looking for new team members to join our research on the links between sensory perception (focus on #smell and human #olfaction) and human memory.

Please help me spread the word

#newPI #academia #neurostuff

We're hiring! Looking for a postdoc to work at UNSW Sydney, studying impacts of reward and information on attention, using eye-tracking, EEG, and modelling - with Kelly Garner, Daniel Pearson and me. Application link below, please spread the word!
external-careers.jobs.unsw.edu.au/cw/en/job/53...

new collaborative paper! Speech is defined by theta-gamma coupled acoustic rhythms, mapped onto segregated populations in human early auditory cortex doi.org/10.7554/eLif...
@davidpoeppel.bsky.social @luc-arnal.bsky.social @brungio.bsky.social @jremygiroud.bsky.social @ilcb.bsky.social

Our review about methods used in Heartbeat Evoked Responses research is out at Psychophysiology ✨!

We hope it will be a helpful resource for the community:
onlinelibrary.wiley.com/doi/10.1111/...

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...

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!

Distinct origins of human low and high alpha rhythms revealed by simultaneous EEG-SEEG - Communications Biology SEEG and EEG data reveal a transition from occipital low-alpha (8-10 Hz) to global high-alpha (10-13 Hz) during anesthesia-induced loss of consciousness. Periodic shifts, modeled dynamically, clarify ...

www.nature.com/articles/s42...

Categorization is ‘baked’ into the brain - Nature Reviews Neuroscience Categorization, the grouping of objects, living organisms, actions or events into equivalence clusters, is fundamental to adaptive behaviour. In this Perspective, Barrett and Miller discuss evidence t...

Categorization is ‘baked’ into the brain — a Perspective by Lisa Feldman Barrett & Earl K. Miller

@lisafeldmanbarrett.com @earlkmiller.bsky.social

#neuroscience #neuroskyence

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

Respiration as a dynamic modulator of sensory sampling - Nature Communications Breathing shapes perception: Inspiration upregulates arousal and excitability, sharpening sensitivity to visual signals. By aligning respiration with task timing, people improve performance via neural...

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

Online Now: Explanation, scope, and perspective: sources of schismogenesis in consciousness science

MIT Consciousness Club The MIT Consciousness Club aims to foster interdisciplinary research on consciousness at MIT and in the broader Boston area by organizing a monthly event featuring an expert talk on consciousness followed by a Q&A session. It is organized by Matthias Michel & Earl Miller as one of the projects of

Last session of the MIT Consciousness Club 04/16! @nadinedijkstra.bsky.social will give a talk on "Distinguishing imagination and reality in a generative brain". More information (including zoom link for those joining online) here: sites.google.com/view/mit-con...

Spatial and semantic memory reorganize a hippocampal long-axis gradient | PNAS The hippocampus supports episodic memory by binding spatial and semantic information, yet how this information is simultaneously organized along it...

New paper from our group out in @pnas.org! doi.org/10.1073/pnas.... Big thank you to coauthors @vosstacular.bsky.social and @anikka-jordan.bsky.social. Anikka spearheaded this project during her time as an RA and is now a grad student at Yale.

🚨 We're very happy to introduce TRIBE v2: a foundation model of the brain's responses to sight, sound & language.

📄 Paper: ai.meta.com/research/pub...
▶️ Demo: aidemos.atmeta.com/tribev2/
💻 Code: github.com/facebookrese...
🤗 Model: huggingface.co/facebook/tri...

New article with @oudietted.bsky.social and the @dreamteamicm.bsky.social

Dream-like mental states can occur during wakefulness

Published now in @cp-cellreports.bsky.social

www.cell.com/cell-reports...

Congrats to Nicolas Decat!

When recording experimental data, have you ever:
1) overwritten data?
2) changed the experiment and forgot when?
3) had a student leave the lab leaving a mess of dataset?
4) noticed how everyone has their own way to transfer data?

We published a solution: LSLAutoBIDS - open science by design.

🧵

If you need a method to infer causality from neural data, even when the signal is short, check our recent paper:

Paper: joss.theoj.org/papers/10.21...
Code: github.com/CMC-lab/Tran...

Classic predictive coding: V1 predicts low-level features, higher areas high-level. But recent studies + AI models suggest prediction happens at higher levels of abstraction.

Who's right?

In new work w/ @wiegerscheurer.bsky.social we find that both are – distinct regimes across the visual field

Please join us for this fantastic double-book symposium on @hohwy.bsky.social's and @kathrynnave.eurosky.social's books.

Register here for the link: docs.google.com/forms/d/e/1F...