Menopause is a hallmark process in biological aging that has been implicated in later neurodegenerative risk, but the pathways underlying this connection remain unclear. Here we used blood proteomics data from several cohorts to identify biological changes associated with menopause and its links to brain aging. In n = ...
Madeline Wood Alexander, Jennifer S. Rabin, Michelle R. Caunca et al.· Nature Medicine· 1 citation
Topological Deep Learning extends graph-based learning to higher-order domains, such as hypergraphs, cellular, and simplicial complexes. These domains are typically constructed from patterns in an input graph through a process of graph lifting. Full-domain training constructs and stores the complete lifted representati...
David Leko, Luka Benić, Guillermo Bernárdez et al.· 0 citations
The representations that language models learn for concepts such as months, weekdays, and places display consistent geometric structure: circles and saddle-shaped"Pringle"manifolds. Recent work traced these structures to $\textit{translation symmetry}$ in word co-occurrence statistics, deriving the observed Fourier geo...
Liam Storan, Andreas S. Tolias, N. Miolane· 0 citations
The equivariance relaxation morphism, which preserves functionality while reparameterizing a group equivariant layer to operate with equivariance constraints on a subgroup, and the [ G ]-mixed equivariant layer, which mixes operations constrained to equivariance to different groups to enable within-layer equivariance o...
Kaitlin Maile, Dennis G. Wilson, Patrick Forré et al.· 0 citations
Topological richness grows with network size, and second homology emerges significantly above the null only in the larger networks, and results show that persistent homology resolves structured topology in neural recordings at the scale experiments actually deliver.
Eve Bodnia, M. Basart, S. Hai et al.· bioRxiv· 0 citations
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