In their study of the steering muscles regulating sclerites (minute hardened structures) in the Drosophila (fruit fly) wing hinge, Johan M. Melis et al. used machine learning to devise a convolutional neural network (CNN) model capable of predicting the pattern of wing motion produced by the maximum activity of the muscles. The CNN model’s output aligned with results of prior studies by other researchers measuring muscle activity patterns directly—one of several indications, said Melis et al., that the model accurately represents important biomechanical processes underlying wing motion.
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Verbal·Craft and Structure·Text Structure and Purpose
mediumWhich choice best states the main purpose of the text?
A
To provide an overview of how Melis et al. honed the accuracy of their CNN model
B
To present evidence from Melis et al.’s study in support of the efficacy of their CNN model
C
To compare results obtained by Melis et al. using their CNN model to prior results obtained from other researchers’ models
D
To account for Melis et al.’s reliance in their study on a CNN model in lieu of direct measurement