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.
He conducted groundbreaking research into auditory physiology at MIT and Harvard Medical School, and was the founding director of the Eaton-Peabody Laboratories at Mass Eye and Ear.
Computational modeling shows that both our ears and our environment influence how we hear.
Inner-ear membrane uses tiny pores to mechanically separate sounds, researchers find.
Findings from MIT scientists could lead to hearing aids that mimic the ear’s ability to focus on particular frequencies.
3-D imaging technology could lead to hearing aids that fit — and thus function — better than current models.