Neural Network Reads Soma Activity from Dendritic Recordings with Sparse Supervision
A physics-informed neural network reconstructs somatic voltage from dendritic recordings using somatic samples at no more than 5% of time ...
A physics-informed neural network reconstructs somatic voltage from dendritic recordings using somatic samples at no more than 5% of time ...
BioSIFTR inferred microbial functions from shallow shotgun sequencing using biome-specific genome catalogues and outperformed similar approaches in synthetic-community and gut-microbiome ...
The publication of MultimerMapper arrives at a moment when the bottleneck in computational structural biology has visibly shifted. Producing a ...
A new statistical study shows that Bayesian inference with a heavy-tailed Weibull model and unified progressive-hybrid censoring with binomial removal ...
A max-plus neural architecture aligns deep learning with the polyhedral structure of phylogenetic tree space, cutting distance-matrix error by more ...
New research shows that layer-wise pruning cuts neural network inference time and energy by up to a third while preserving ...
Researchers at Xidian University have developed GETI-WR, a graph neural network method that estimates worker reliability per task using bias ...
Researchers at Harbin Engineering University have developed a dual-stream semantic communication framework that lets embodied AI agents preserve both visual ...
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© 2026 Scienmag - Science Magazine