Reposted by Pablo Marcos-Manchón
Check out our new paper! 🧠
Me, @xiongbowu.bsky.social and @fuentemilla.bsky.social review how reactivation at the end of events support memory formation and propose it serves multiple functions from preventing interference to helping preserve temporal continuity! ✨
www.cell.com/trends/cogni...
cell.com
Neural reactivation supports memory formation when events end
Memory routinely transforms continuous experience into discrete episodes that support
flexible retrieval. We propose that these structured representations are established
via rapid neural reactivation...
![Marcos-Manchón, P., Jha, R., & Fuentemilla, L. (2026). Platonic Representations in the Human Brain: Unsupervised Recovery of Universal Geometry. arXiv [q-Bio.NC]. Retrieved from http://arxiv.org/abs/2605.20496](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:dlr4kkceoy6mwbryfqlnryd7/bafkreicl7tyf3fowavfsim4pbdzxgqbk53glyjnhprwb5twwrqwzo7ijwq)
![What do representations tell us about a system? Image of a mouse with a scope showing a vector of activity patterns, and a neural network with a vector of unit activity patterns
Common analyses of neural representations: Encoding models (relating activity to task features) drawing of an arrow from a trace saying [on_____on____] to a neuron and spike train. Comparing models via neural predictivity: comparing two neural networks by their R^2 to mouse brain activity. RSA: assessing brain-brain or model-brain correspondence using representational dissimilarity matrices](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:e6ewzleebkdi2y2bxhjxoknt/bafkreiav2io2ska33o4kizf57co5bboqyyfdpnozo2gxsicrfr5l7qzjcq)
