Implementing neural changes associated with attention in a deep neural network causes performance changes that mimic those observed in humans and macaques.
Ts65dn mice exhibit structural, functional, molecular, and genetic alterations that are modulated but unrecovered by prenatal chronic GTE-EGCG, highlighting the importance of holistic studies to understand complex disorders and treatments.
Genome editing in the choanoflagellate Salpingoeca rosetta opens newfound possibilities to functionally probe choanoflagellate genes that may illuminate the origin of their closest relatives, the animals.
The evaluation of a dengue early warning system demonstrates its potential to assist dengue prevention and control up to three months ahead of future epidemics.
Calcium imaging is used to construct a model of Caenorhabditis elegans nervous system dynamics capable of predicting future behavioral switches on a trial by trial basis and across individual animals.
Ahmed A Shibl, Michael A Ochsenkühn ... Shady A Amin
Characterization of the molecular mechanisms that enable azelaic acid, a secondary metabolite produced by photosynthetic organisms, to promote or inhibit different bacterial populations.
Scratch-AID, a deep learning-based system for automatic quantification of mouse scratching behavior, could replace labor-intensive manual quantification and facilitate high through-put anti-itch drug screening.
Jessica L Metcalf, Laura Wegener Parfrey ... Rob Knight
High-throughput sequencing has been used to analyze the microbiome of mouse corpses over a period of 48 days, and to provide an accurate estimate of the time since death.
Jamie D Costabile, Kaarthik A Balakrishnan ... Martin Haesemeyer
Model identification of neural encoding is an accessible system for the analysis of neural data that allows identifying and characterizing arbitrary relationships between neural activity and task-related variables such as behavior, stimuli, or internal states.