Neural populations may depend on balanced recurrent connectivity to produce an efficient stimulus representation while also maintaining an accurate stimulus encoding despite the variability introduced by adapting neural responses.
Michael R McLaren, Amy D Willis, Benjamin J Callahan
A mathematical model of bias in marker-gene and metagenomic sequencing measurements explains systematic errors in defined mixtures of microbial species, and enables quantitative and reproducible investigation of biological communities.
Kristian Davidsen, Branden J Olson ... Frederick A Matsen IV
Deep learning improves estimation of T cell receptor cohort frequencies and learns the rules of VDJ recombination, potentially making it helpful for vaccine design.
Cristina M Robinson, Kate T Snyder, Nicole Creanza
A longer birdsong-learning window evolves in response to sexual selection for song complexity and is associated with faster evolution of song performance characteristics.
Matthew R Nassar, Rasmus Bruckner, Michael J Frank
The P300, an electroencephalography (EEG) component known to be evoked by surprising events, predicts learning in a bidirectional manner that depends critically on the surrounding statistical context.
Selection for asymmetric signalling between gametes explains the very origins of sexual asymmetry as seen in mating-types with morphologically similar but self-incompatible gametes.
