Data from: Surrogate modelling for the prediction of spatial fields based on simultaneous dimensionality reduction of high-dimensional input/output

负责人：

关键词：

simultaneous dimensionality reduction;Gaussian process regression;spatial field emulation;stochastic PDE

DOI：

doi:10.5061/dryad.3g280

摘要：

a method for simultaneously reducing the dimensionality of very high-dimensional input and output spaces in Gaussian process emulators for stochasti

Data from: Dual dimensionality reduction reveals independent encoding of motor features in a muscle synergy for insect flight control

负责人：

关键词：

features;flight;dimensionality reduction;Muscle;Manduca sexta;motor control;EMG

DOI：

doi:10.5061/dryad.q83d0

摘要：

-based feature analysis provides a general two-sided dimensionality reduction that reveals encoding in high dimensional sensory or motor transformations.