If you're at #CCN2026, analyse time-resolved data, and sometimes feel limited by cluster-based permutation tests, come and see our poster tomorrow afternoon! 🕐 1:45-3:30 pm 📍 Shorin Room, Poster F10

There are 17 different methods to measure whether confidence tracks accuracy, and these do not include Bayesian or Information Theory based measurements. We present MetaSignal with @makwana.bsky.social @lazyneuron.bsky.social and @brianodegaard.bsky.social to have common platform to access them.

Representational magnitude as a geometric signature of image and word memorability. New paper by David Vogelsang & @mheilbron.bsky.social. doi.org/10.1016/j.jm...

#CCN2026 opens today in New York! We will kick off with Mind Matching and Doris Tsao's keynote, the inaugural CCN 2026 Transmitter Mentorship Program, Keynotes & Tutorials, and a bar crawl. Details in the thread.

Hello world! 👋 We’re Minds, Machines, and Brains (MMB) 👤🤖🧠 a new open access journal from @mitpress.bsky.social exploring the principles of intelligence and cognition across natural and artificial minds. Submissions open this Fall! 🔗 direct.mit.edu/mmb

A life-course map of health risks associated with exposure to second-hand smoke

A life-course map of health risks associated with exposure to second-hand smoke

Nature Human Behaviour, Published online: 31 July 2026; doi:10.1038/s41562-026-02481-wWe synthesized evidence from 111 meta-analyses to map the comprehensive health risks that are associated with second-hand smoke exposure (SHSE) throughout the life course. Our analyses confirm the strong association of SHSE with lung cancer, cardiovascular disease and a range of adverse fetal and child health outcomes. Moreover, we identify research gaps that should be addressed to inform targeted tobacco control.

dlvr.it

📢 PhD opening in comp. cog. neuro. in Toulouse: thalamo-frontal model of cognitive control. Modelling/EEG experience is welcome but not required. Application deadline: 8 Sept. 2026 Details: sdrive.cnrs.fr/s/eDrkeXfjdW... #CognitiveScience #Neuroscience #EEG #neuroskyence #compneurosky

If an action results in error, each neuron requires an individualized teaching signal that guides change in its output. This is the credit assignment problem of learning. Are there neurons in the brain that can compute such a sophisticated teaching signal? Yes. www.biorxiv.org/content/10.6...

Climbing fibers encode the gradient of a loss function for the cerebellum

Neurons in the brain are often many synapses away from motoneurons, yet if a movement results in error, each distant neuron needs a teacher that considers its specific contribution to production of th...

biorxiv.org

When children start school, how do their brains change to support learning of formal mathematics? Our new paper, with @standehaene.bsky.social, just out in PNAS, followed ~50 children with yearly fMRI scans over 3 years, from preschool to 2nd grade, to see how this network develops. 🧵

Excellent article au sujet de la diversité des expériences de parole intérieure !

Marc Gozlan@marcgozlan.bsky.social · 9mo ago

On imagine volontiers que chacun dispose d’une voix intérieure. Mais certaines personnes n’entendent jamais ce monologue silencieux que beaucoup jugent évident. Une plongée dans l’endophasie, ce langage intérieur que l’on croit universel et qui ne l’est pas. www.lemonde.fr/blog/realite... [Rediff]

Very happy to share that our INNERSPEECH project has been funded by the #ANR! We'll investigate the cognitive and neural bases of inner speech diversity and build a neurocomputational model of how it emerges during development. One PhD and one postdoc position will open soon; stay tuned!

On imagine volontiers que chacun dispose d’une voix intérieure. Mais certaines personnes n’entendent jamais ce monologue silencieux que beaucoup jugent évident. Une plongée dans l’endophasie, ce langage intérieur que l’on croit universel et qui ne l’est pas. www.lemonde.fr/blog/realite... [Rediff]

Tout le monde n’a pas une petite voix dans la tête

Tout le monde n’a pas de voix intérieure. Tel est le titre d’une étude publiée dans le numéro de mai 2024 de la revue Psychological Science. Elle rapporte que certaines personnes ne possèdent pas la c...

lemonde.fr

Our revised eLife paper on laminar alpha/gamma activity (fMRI-EEG) is out! 🎉 Congratulations to Tommy Clausner and René Scheeringa for their incredible work elifesciences.org/reviewed-pre...

**Four** positions in AI/ML for biology at @dukemedschool.bsky.social, including in Neurobiology. @scottsoderling.bsky.social and David Page are leading a tremendous initiative in Discovery AI. Wonderful colleagues, wonderful place.

AI/ML for Biology - 4 tenure-track assistant professor positions - Durham, North Carolina job with Duke University - Biochemistry & Cell Biology | 12862109

Discovery AI Initiative and Departments of Biochemistry and Cell Biology, Integrative Immunobiology, Neurobiology, and Pharmacology & Cancer Biology

nature.com

Looking forward to #CCN2026 next week! On Monday I’m running a keynote & tutorial with @pessoabrain.bsky.social on whole-brain modelling using probabilistic state space models 💫 Materials coming soon: 2026.ccneuro.org/k-and-t-lang...

NEW: A large trove of Claude-generated documents have been exposed to the web and indexed by Google. We reviewed what appear to be real medical records, the full names and phone numbers of school-aged children, and company documents marked for internal use only. futurism.com/artificial-i...

A Whole Bunch of People's Claude Chats Are Publicly Accessible Online, and There's Some Wildly Private Stuff in There

A trove of documents generated by Anthropic's Claude were indexed by Google. They included medical records and student information.

futurism.com

Out now! Low-frequency modulations bridge the Language and Default Mode networks. Ramping alpha frequency modulation is seen across LN and DMN for sentences greater than wordlists, with ramping connectivity between and within these networks. #NeuroSkyence #iEEG 🧵👇

Low-frequency modulations bridge the Language and Default Mode networks

As you read this sentence, you integrate meanings of individual words into complex, higher-order representations. In addition to the core language net…

sciencedirect.com

I'll be in NYC next week for #CCN2026 (2026.ccneuro.org) to present our model-based alternative to cluster-based permutation tests: doi.org/10.1101/2025... If you're around and interested in discussing this work (or other topics such as inner speech or mental imagery) please let me know!

New preprint! What the eyes do when searching for a visual target reveals the psychological similarity between objects, just like more classic (but much longer & tedious) tasks like triplet odd-one-out and direct comparison. www.biorxiv.org/cgi/content/... #BRAINFLOW @upcite.bsky.social @cnrs.fr

Eye movements reveal representational geometry

Mental representations are the explanatory construct of the cognitive sciences, but there is no widely accepted characterization of how they cause behavior. Visual representational geometry can be quantified by similarity scores, but almost all methods require an explicit judgment. To examine how representations cause behavior by varying task demands, observers must perform different tasks while continuously reporting similarity, leading to dual-task interference. This study develops scanpaths as an implicit similarity measure, and uses representational similarity analysis to validate it. Observers searched for a target; fixations on distractors may reveal similarity. Similarity was also quantified by an odd-one-out task in the same participants, and ratings from different participants (Jiang et al. 2022). Representational geometries between tasks correlated. A generative model predicted first fixations in novel data. This double validation of the scanpath method opens the door to examining the causality of representations by determining if and how they vary with task demands. ### Competing Interest Statement The authors have declared no competing interest.

biorxiv.org

1/ The world's songbirds sing in just 8 basic sounds. And where a bird lives decides which ones it uses. My first PhD paper is out now in @science.org (www.science.org/doi/10.1126/science.aee6239) Here is what we found:

🧠 EEG / ERP researchers wanted! We are testing ways to visualize uncertainty in EEG topoplots ⏱ ~15min 💻 Best on Laptop, mobile possible 🎁 2 "Muse-2" headsets will be raffled among participants. Survey: www.soscisurvey.de/uncertain_to... #EEG #ERP #Neuroscience #DataVisualization

“We uncovered a linguistic ‘golden age’ 3000 to 1000 years ago. Great loss of linguistic diversity did not begin with recent colonial expansion but as multinational empires first spread along with their languages, pathogens, & cultures.“ @damianblasi.bsky.social et al's new paper in @science.org. 👇🧪

The rise and fall of language diversity through the Holocene

Characterizing the factors that have shaped linguistic diversity is fundamental for understanding human history, culture, and cognition. In this study, we combined statistical and social computational...

science.org

Registration is now open for the Paris Circuit Dynamics Conference & Workshop 2026! Neuromodulation of Neuronal Circuits: From Behavior to Computation Paris Brain Institute 16–17 September 2026 Registration is free (but required): www.paris-circuits.eu

Paris Circuit Dynamics

This conference will bring together leading experts to discuss how neuromodulatory systems shape neuronal circuit dynamics, behavior, and computation. The program will focus on how neuromodulators suc...

paris-circuits.eu

1. We—@eduede.bsky.social, @mjcrockett.bsky.social, Kevin Gross, and I—have a new preprint on the arXiv today, based on ideas that emerged during an @sfiscience.bsky.social workshop in November 2024: The unintended consequences of large language models as a labor-augmenting technology in science.

The unintended consequences of large language models as a labor-augmenting technology in science

As a labor-augmenting technology, large language models (LLMs) have the potential to accelerate scientific activity across the research pipeline. But even if LLMs perform on par with human experts at ...

arxiv.org

Here's a thread about a nice student-led project on vowel perception that evolved into a full conference paper for Forum Acusticum 2026 in Graz. #FA2026

1/5 Over a decade of comparing deep neural networks to the human brain—but what have we actually learned? Our new @cp-trendscognsci.bsky.social Feature Review synthesizes a decade of brain–DNN comparisons, asking what they reveal about brain function across vision and language.

New paper out: Led by super grad student Jim Zhang and in collaboration with Greg Cogan, we review and synthesize Insights into the neural mechanisms supporting cognitive stability and flexibility from human intracranial electroencephalography. For free access: authors.elsevier.com/a/1nRYWY3M3p...

well on time for my bi-yearly post I'm sharing the final version of this very cool work we started with @cjungerius.bsky.social @smfleming.bsky.social @svangaal.bsky.social @fahrenfort.bsky.social in 2021, when I was young and full of hope. Now out in @natcomms.nature.com 1/11

The act of detecting a stimulus contaminates measures of conscious experience with decision biases - Nature Communications

A central challenge in consciousness research is determining whether people truly experience a stimulus. Here, the authors show that context biases traditional detection measures, whereas continuous r...

nature.com

👁️🧠🧪 Vision takes time. But how does visual information flow through the human brain? Our new PLOS Computational Biology paper uses population receptive field (pRF) modelling to bring the spatial precision of fMRI to MEG, revealing the temporal dynamics of visual areas. 📖 doi.org/10.1371/jour...

Non-invasive mapping of the temporal processing hierarchy in the human visual cortex

Author summary Vision doesn’t happen instantaneously, but unfolds over time. While we understand a lot about how the brain processes visual space, understanding how the brain processes information ove...

doi.org