The combination of phenotypic measures of antigenic drift and genotypic measures of functional constraint improves the accuracy of long-term seasonal influenza A/H3N2 forecasts.
Machine learning and experimental tests of receiver bias identify signal components critical to correct species classification in guenons, linking face pattern diversity to selection for species discrimination.
Swine populations worldwide are sporadically infected by influenza viruses from humans and birds leading to geographically heterogeneous swine influenza virus populations that pose epizootic and pandemic threats.
New reconstruction methods are used to create a publicly available dense reconstruction of the neurons and chemical synapses of central brain of Drosophila, with analysis of its graph properties.
Development of a fully automated pain scale using machine learning tools in computational neuroethology and creation of new software, reveals a robust circuit-dissection compatible platform for objective pain measurement.