After nearly a year as a preprint, our work is now published open access in Communications Biology 🎉 Using representational alignment across brains and AI models, we identified two cortical routes for scene perception. www.nature.com/articles/s42... 🧵 (1/2)

Shared representations in brains and models reveal a two-route cortical organization during scene perception - Communications Biology

Representational similarity analysis of human brain fMRI during natural scene viewing reveals two cortical routes: a ventromedial pathway for scene context and layout, and a lateral occipitotemporal p...

nature.com

Very cool: it's amazing that this doesn't rely on paired data! @mickbonner.bsky.social and I recently found that the shared geometry is characterized by a ~universal power-law: doi.org/10.1371/jour..., Fig 2 Now I'm curious if we could have done it without the paired stimuli...

Universal scale-free representations in human visual cortex

Author summary The human cerebral cortex is thought to encode sensory information in population activity patterns, but the statistical structure of these population codes has yet to be characterized. ...

doi.org

Are gist-like shifts in memory over time evidence of engram transformation? Really? Or partly a general response bias? At #APS2026 in Barcelona this week, Mattia Delmarco will present our work on object typicality and visual memory. psychologicalscience.confex.com/psychologica...

Can neural representations from different people be translated into a shared space without paired data? In our preprint, "Platonic Representations in the Human Brain: Unsupervised Recovery of Universal Geometry", with Rishi Jha and @fuentemilla.bsky.social, we test this using fMRI 🧵👇

The #UBneuro PhD Welcome Day 2026 was a great success! 🎓✨ New doctoral researchers connected with the community, explored responsible research, and visited the Cognitive Neuroscience Unit. A strong start for the next generation of neuroscientists! 🧠

Is optimism socially transmissible? Our new study shows it propagates via social prediction errors. When we "imagine together," simulation discrepancies drive an update in expectations to align with the group. A dynamic resource shaped by social interaction. Link study: osf.io/preprints/ps...

This year at #CCN25 we showed the importance of OOD evaluation to adjudicate between brain models. Our results demonstrate these trivial but key facts : - high encoding accuracy ≠ functional convergence - human brain ≠ NES console ≠ 4-layers CNN - videogames are cool w/ @lune-bellec.bsky.social 🙌

In neuroscience, we often try to understand systems by analyzing their representations — using tools like regression or RSA. But are these analyses biased towards discovering a subset of what a system represents? If you're interested in this question, check out our new commentary! Thread:

🚨 New preprint alert! Excited to share our latest work on alpha/beta activity, eye movements, and memory. Across 4 experiments combining scalp EEG/iEEG with eye tracking, we show that alpha/beta activity directly reflects eye movements, and only indirectly relates to memory. 👇 Highlights (1/7):

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · last yr.

Low-frequency brain oscillations reflect the dynamics of the oculomotor system: a new perspective on subsequent memory effects https://www.biorxiv.org/content/10.1101/2025.07.29.667451v1

🧠 Paper out! We investigated how hippocampal and cortical ripples support memory during movie watching. We found that: 🎬 Hippocampal ripples mark event boundaries 🧩 Cortical ripples predict later recall Ripples may help transform real-life experiences into lasting memories! rdcu.be/eui9l

Movie-watching evokes ripple-like activity within events and at event boundaries

Nature Communications - The neural processes involved in memory formation for realistic experiences remain poorly understood. Here, the authors found that ripple-like activity in the human...

rdcu.be

🧠🚨 How does the brain represent what we see? Is visual input transformed to form these representations in similar ways across people and even AI models like DNNs? We explore these questions using fMRI and large-scale representational alignment analyses. 🔗 arxiv.org/abs/2507.13941 Thread👇 (1/8)

Convergent transformations of visual representation in brains and models

A fundamental question in cognitive neuroscience is what shapes visual perception: the external world's structure or the brain's internal architecture. Although some perceptual variability can be trac...

arxiv.org

Deep learning models and brains share fascinating parallels in their ability to process and instantly integrate new knowledge. Join us this year at ICON 2025 to discuss how sudden learning emerges across artificial and biological systems! 🧠🤖

Johannah Völler@jvoeller.bsky.social · last yr.

📣 ICON Symposium Really excited to announce our symposium at @ICON this year on Sudden Learning Across Systems! Together with lots of cool people: @gonzalezgarcia.bsky.social @lindedomingo.bsky.social @ortiztudela.bsky.social @anikaloewe.bsky.social @jazzmaniatico.bsky.social and Andrea Greve!

Very happy to announce that the latest work "Anticipating multisensory environments: Evidence for a supra-modal predictive system" from @alepebel.bsky.social @fuentemilla.bsky.social and myself has been published in Cognition! www.sciencedirect.com/science/arti...

Anticipating multisensory environments: Evidence for a supra-modal predictive system

Our perceptual experience is generally framed in multisensory environments abundant in predictive information. Previous research on statistical learni…

sciencedirect.com