Cedric Boeckx

@cedricboeckx.bsky.social

ICREA Research Professor. Evolution, Genetics, Neuroscience, Linguistic Cognition https://www.cedricboeckx.com

🧬 New preprint! An interpretable omnigenic neural network architecture for the human genome We introduce the Omnigenic Model (OGM), a neural network architecture for human genetics. It uses biological system structure to aggregate genetic variation for disease risk prediction.

doi.org

Thrilled to post thread re: new single-cell lineage of mouse embryo reconstructed w/ DNA Typewriter. One animal, zygote to late organogenesis (E13.5). Tree has 1,340,794 transcriptionally profiled, annotated tips (cells), 1,142,588 dated internal nodes, rooted at zygote 1/n

What does synapse position buy a neuron? We trained a dendritic network to place its own synapses on a covariance task. It clustered correlated inputs onto shared branches, and shuffling that placement destroyed performance while every weight stayed intact. Preprint: arxiv.org/abs/2607.24503 🧵-->

Synaptic clustering emerges from learning and supports covariance discrimination

Functional synapse clusters (FSCs) are synapses with correlated presynaptic activity that are colocalized on the same neuronal dendritic branch. FSCs have been observed after learning in cortical and ...

arxiv.org

Interesting twist in a new paper: Introgression deserts aren't actually deserted. “Our findings suggest that ghost ancestry is often present in previously defined archaic deserts, providing additional context to putative Homo sapiens–specific selection.” www.science.org/doi/10.1126/...

Recovering signatures of archaic hominin introgression using ancestral recombination graphs

Admixture between modern humans and extinct hominins has shaped the genomes of present-day individuals, but reconstructing this history has been constrained by the scarcity of archaic samples and unad...

science.org

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

🧠 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

8/8 Our findings point to a solution to the stability–flexibility problem: learning may establish a stable temporal scaffold while leaving neuronal selectivity free to adapt.