Neuron Populations Exhibit Divergent Selectivity
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Neuron Populations Exhibit Divergent Selectivity with Scale
Announce Type: new Abstract: We investigate whether neuron populations within neural networks evolve predictably with scale, extending scaling laws beyond macroscopic observables such as loss. To probe this question, we study Rosetta Neurons, a previously characterized class of neurons whose activation patterns are similar across independently trained models (Dravid et al., 2023). In separate analyses of language models up to 30B parameters and vision models up to 5B parameters, we observe...
Multi-omics analysis reveals chromatin and transcriptomic remodeling in hippocampal CA1 following adolescent social isolation
Social isolation (SI) during adolescence is associated with long-term vulnerability to psychiatric disorders; however, its effect on the hippocampal epigenome and transcriptome remains unclear. Here, we performed integrative ATAC-seq and RNA-seq of the hippocampal CA1 region using an adolescent mouse SI model, combined with single-cell RNA-seq reference mapping and cell type deconvolution. ATAC-seq identified SI-associated alterations in chromatin accessibility, including an increase in...
A prognostic human brain network for diffuse midline glioma
Abstract Diffuse midline gliomas (DMGs) are near-universally lethal tumours of the childhood central nervous system1,2. In animal models, DMGs form brain-wide integrated networks through neuron-to-glioma synapses3,4,5,6 and glioma-to-glioma gap junctional coupling3. This extensive connectivity robustly promotes the growth and invasion of DMG3,4,5,6,7,8,9 and other glial malignancies10,11,12 through paracrine mechanisms and direct neuron-to-glioma synapses.