Deep neural networks show promise as models of human hearing
Study shows computational models trained to perform auditory tasks display an internal organization similar to that of the human auditory cortex.
Study shows computational models trained to perform auditory tasks display an internal organization similar to that of the human auditory cortex.
Two studies find “self-supervised” models, which learn about their environment from unlabeled data, can show activity patterns similar to those of the mammalian brain.
Predictions from the OncoNPC model could enable doctors to choose targeted treatments for difficult-to-treat tumors.