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.
A systematic review with multilevel modelling quantified the positive association between human antibodies to Anopheles salivary proteins with Anopheles-human biting rate and epidemiological measures of malaria transmission, highlighting their potential as a tool to measure vector exposure and malaria transmission.
Songbirds discriminate synthetic sounds composed of temporal patterns of clicks, which they transform into distinct ensemble or spatial patterns in successive stages of neural auditory processing.
Neural sensory representations impose an inductive bias over the space of learning tasks, allowing some tasks to be learned by a downstream neuron more sample-efficiently than others.
Jacques Pesnot Lerousseau, Christopher Summerfield
Spatial mapping serves as a cognitive scaffold for acquiring abstract conceptual invariances across sensory domains, shedding light on the mechanisms of human learning.
Central vestibular regions in the brainstem and cerebellum perform dynamic Bayesian inference to combine motor commands and sensory signals into an optimal estimate of self-motion.
Neuronal recordings from rat visual cortex reveal an object-processing pathway, along which neuronal representations become increasingly capable of supporting recognition of visual objects in spite of variation in their appearance.
