Santiago Rompani

@santiagorompani.bsky.social

Neuro group leader at EMBL Rome. My lab studies how vision is shaped by cross-modal and state-dependent modulation, among other things.

We are happy to announce the 3rd edition of the “Subcortical Sensory Circuits” Meeting on the 9-12 February 2027 at in Trieste, Italy! www.subcortical2027.com Registration will start in August, and we invite you to submit your abstract for a poster or short talk.

subcortical 2027

About the Meeting Subcortical circuits play a crucial role in perception and the execution of a wide variety of essential behaviours. The number of laboratories focusing on subcortical areas has incre...

subcortical2027.com

Massive study in @nature.com, converges with our past study of 750,000 people (Sea hero quest) to show u-shape curves for the impact of sleep. We studied cognition, here its disease impact: Sleep chart of biological ageing clocks in middle and late life www.nature.com/articles/s41...

Sleep chart of biological ageing clocks in middle and late life - Nature

A cross-organ, multi-omics U-shaped relationship between sleep duration and biological ageing clocks highlights the potential of sleep optimization to promote healthy ageing, lower disease risk and ex...

nature.com

🥁🎉The Psychosis Collective proudly presents our first preprint 𝐂𝐥𝐨𝐳𝐚𝐩𝐢𝐧𝐞 𝐬𝐮𝐩𝐩𝐫𝐞𝐬𝐬𝐞𝐬 𝐚𝐮𝐭𝐨𝐢𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐝𝐫𝐢𝐯𝐢𝐧𝐠 𝐩𝐬𝐲𝐜𝐡𝐨𝐬𝐢𝐬-𝐥𝐢𝐤𝐞 𝐛𝐞𝐡𝐚𝐯𝐢𝐨𝐮𝐫 𝐢𝐧 𝐦𝐢𝐜𝐞 𝘈 𝘥𝘪𝘴𝘤𝘰𝘷𝘦𝘳𝘺 𝘫𝘰𝘶𝘳𝘯𝘦𝘺 𝘪𝘯 𝘵𝘩𝘳𝘦𝘦 𝘢𝘤𝘵𝘴 starring Le He & Harriet Feldman www.biorxiv.org/content/10.6... We wanted to understand how antipsychotics work. Thread🧵

Graphical abstract showing that NMDAR immunisation drives psychosis-like behaviour in mice, while clozapine reverses this. Upper panel: arrows show NMDAR immunisation producing a mouse exhibiting psychosis-like behaviour, with clozapine reversing this effect. Lower panels: anti-NMDAR antibodies bind neuronal NMDA receptors, which are then eliminated by microglia via phagocytosis, leading to psychosis. Clozapine restores NMDA receptor levels by reducing anti-NMDAR antibody levels, consistent with an immunomodulatory mechanism of action.

New study on axon initial segment plasticity by Chloé Benoit and Dan Ganea. Using a deep brain imaging approach, we find that AIS length changes dynamically during associative learning. Thank you to the wonderful team and collaborators who made this work possible. www.nature.com/articles/s41...

Axon initial segment dynamics during associative fear learning - Nature Neuroscience

Benoit, Ganea et al. show that changes in axon initial segment (AIS) length in the prefrontal cortex of mice accompany fear learning and extinction, revealing AIS plasticity as a key feature of neuron...

nature.com

🧪🧠COOL SCIENCE: Cells in spinal cord that make myelin still carry echoes of their development; open chromatin @genes that shaped where they came from. *Same pattern shows up in pediatric brain tumors* The cellular memory that could help brain heal is also what cancer can hijack. Feature and a bug!

Single-nucleus epigenomic profiling of the adult human central nervous system unveils epigenetic memory of developmental programs - Nature Neuroscience

Single-nucleus epigenomic maps of the adult human brain and spinal cord reveal that adult oligodendroglia retain developmental chromatin patterns, suggesting a molecular memory that may shape repair p...

nature.com

We think cortex might function like a JEPA. It looks like prediction errors in layer 2/3 are not computed against input (as is the idea in predictive processing), but against a representation in latent space (i.e. like in a JEPA arxiv.org/abs/2301.08243 or RPL doi.org/10.1101/2025...).

Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

This paper demonstrates an approach for learning highly semantic image representations without relying on hand-crafted data-augmentations. We introduce the Image-based Joint-Embedding Predictive Archi...

arxiv.org

Anna Vasilevskaya@loghyr.bsky.social · 8mo ago

Our work with @georgkeller.bsky.social on testing predictive processing (PP) models in cortex is out on biorvix now! www.biorxiv.org/content/10.6... A short thread on our findings and thoughts on where we should move on from PP below.

Our work with @georgkeller.bsky.social on testing predictive processing (PP) models in cortex is out on biorvix now! www.biorxiv.org/content/10.6... A short thread on our findings and thoughts on where we should move on from PP below.

A functional influence based circuit motif that constrains the set of plausible algorithms of cortical function

There are several plausible algorithms for cortical function that are specific enough to make testable predictions of the interactions between functionally identified cell types. Many of these algorithms are based on some variant of predictive processing. Here we set out to experimentally distinguish between two such predictive processing variants. A central point of variability between them lies in the proposed vertical communication between layer 2/3 and layer 5, which stems from the diverging assumptions about the computational role of layer 5. One assumes a hierarchically organized architecture and proposes that, within a given node of the network, layer 5 conveys unexplained bottom-up input to prediction error neurons of layer 2/3. The other proposes a non-hierarchical architecture in which internal representation neurons of layer 5 provide predictions for the local prediction error neurons of layer 2/3. We show that the functional influence of layer 2/3 cell types on layer 5 is incompatible with the hierarchical variant, while the functional influence of layer 5 cell types on prediction error neurons of layer 2/3 is incompatible with the non-hierarchical variant. Given these data, we can constrain the space of plausible algorithms of cortical function. We propose a model for cortical function based on a combination of a joint embedding predictive architecture (JEPA) and predictive processing that makes experimentally testable predictions. ### Competing Interest Statement The authors have declared no competing interest. Swiss National Science Foundation, https://ror.org/00yjd3n13 Novartis Foundation, https://ror.org/04f9t1x17 European Research Council, https://ror.org/0472cxd90, 865617

biorxiv.org

My lab is looking for an intern interested in the molecular basis of cognitive decline. Work includes deep phenotyping of animal behavior and downstream analysis, including DLC tracking, motif mining (e.g. with Keypoint-MoSeq), and -omics. On-site at EMBL Rome, paid, 1-year commitment. DMs open.

Planning a one-afternoon visual psychophysics practical for undergraduate students. Does anyone know a good platform to collect quantitative data on visual acuity, the blindspot, colour mixture, depth perception, edge detection, lateral inhibition, motion adaptation, visual illusions etc?

Bild

Research in primate brains has been essential for the development of brain-computer interfaces and artificial neural networks. New funding and policy changes put future such advances at risk, write Cory Miller, @movshon.bsky.social and Doris Tsao. #neuroskyence bit.ly/47MXYLH

Without monkeys, neuroscience has no future

Research in primate brains has been essential for the development of BCIs, ANNs. New funding and policy changes put future such advances at risk.

bit.ly

Still think brain regions don’t exist? That everything is everywhere? That cell types don’t matter and that everything is a dynamical phase portrait? Wrong. Interconnected brain modules exist at the level of fine grained transcriptomics. www.nature.com/articles/s41...

Whole-cortex in situ sequencing reveals input-dependent area identity - Nature

BARseq interrogates the expression of 104 cell-type marker genes in 10.3 million cells over nine mouse forebrain hemispheres to reveal the role of peripheral inputs on cortical area development.

nature.com