Omri Raccah

@omriraccah.bsky.social

Postdoc Fellow @Yale | Memory, auditory cognition, consciousness, machine learning https://omriraccah.github.io/

📣New paper! How does the sleeping brain help us to integrate new experiences while managing memories from the past? For his PhD work, @sabbaspoor.bsky.social recorded hippocampal ensembles in freely moving monkeys and found something unexpected. 🧵1/n www.nature.com/articles/s41... 🧪🧠📈👩‍🔬#OpenAccess

Experience reorganizes content-specific memory traces in macaques - Nature Neuroscience

In macaques, old memories, relative to new ones, are supported by more stable and interconnected cell assemblies. New-biased and old-biased assemblies reactivate during overnight sleep and can sometim...

nature.com

"..CA3 operates as a nonlinearly gated scene constructor and CA1 as a continuous landmark integrator to build and maintain the cognitive map." How visual scenes recruit spatial maps: threshold-gated activation in CA3 versus continuous integration in CA1 Inah Lee Lab: www.biorxiv.org/content/10.6...

How visual scenes recruit spatial maps: threshold-gated activation in CA3 versus continuous integration in CA1

The hippocampal cognitive map is constructed from environmental sensory inputs, but the conditions that recruit a spatial map from a quiescent baseline remain unclear. Using a parametric virtual reali...

biorxiv.org

🧠 New preprint! How does the brain build specialized, efficient representations as we grow up? We used manifold learning to track the "intrinsic dimensionality" (ID) of brain activity in ~800 participants (aged 3mo–53yrs), as they performed naturalistic tasks and rested/slept.

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bioRxiv Neuroscience@biorxiv-neursci.bsky.social · 2w ago

Developmental tuning of functional manifold dimensionality across the human brain https://www.biorxiv.org/content/10.64898/2026.07.24.740635v1

PREPRINT: We efficiently extract a set’s mean and variance without representing each item. Yet the neural basis remains unclear. Using fMRI-MVPA, we test whether ensemble codes are shared across features—orientation, shape, & animacy—and statistics—mean & variance www.biorxiv.org/content/10.6...

Neural Representations of Ensemble Mean and Variance Across Visual Features

Humans can rapidly extract summary statistics, such as the mean and variance of visual features, to efficiently represent complex visual environments despite limits in attention and working memory. Al...

biorxiv.org

Looking to work with a postdoc. Prior experience with fMRI and computational modeling required, interest in psychiatry desired. Fellowship provides three years salary plus independent travel/equipment funds. Send CV and 2-3 manuscripts (preprints OK).

🌟📣 Check out the special issue "The Relevance of a Philosophical Toolkit to Advance Neuroscience" in the EJN, co-edited by KLI group leader Isabella Sarto-Jackson. It features 31 interdisciplinary papers on understanding the functions of the brain and mind. onlinelibrary.wiley.com/doi/toc/10.1...

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Interested in timing, motor control, attention, working memory and/or stuttering? ⌛️ Curious to see how we try to bring these together in one study? 🧐 Check out our most recent, hot-off-the-press manuscript, born out of fun cross-field and cross-lab discussions ✨ Very excited to see this out ☀️🍾

Brain and Cognition Lab@brognition.bsky.social · 3w ago

🧵 New paper led by @irenetxeberria.bsky.social in press at Current Biology! A collaborative effort between the Brain and Cognition Lab and the Brain, Speech & Language Lab ⭐ Does the temporal organisation of action selection differ in stuttering? www.sciencedirect.com/science/arti... A thread 👇