Deep neural network models of sound localization reveal how perception is adapted to real-world environments
Bibliographic Data
| ID | 4698321 |
|---|---|
| Authors | Andrew Francl (0000-0001-6417-7866, McGovern Institute for Brain Research, corresponding author), Josh H Mcdermott (0000-0002-3965-2503, McGovern Institute for Brain Research, corresponding author) |
| Year | 2022 |
| Volume | 6 |
| Issue | 1 |
| Pages | 111-133 |
| Publication date | 2022-01-27 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Nature Human Behaviour (JOURNAL) |
| Journal identifiers | ISSN: 2397-3374 • E-ISSN: 2397-3374 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1038/s41562-021-01244-z |
| PMID | 35087192 |
| OpenAlex | W4226064907 |
| Language | EN |
| Citations received | 3 |
| References cited | 135 |
Acoustics · Artificial neural network · Auditory perception · Monaural · Natural sounds · Perception · Reverberation · Sound localization · Speech recognition · Animal Vocal Communication and Behavior · Computer Science · Hearing Loss and Rehabilitation · Neuroscience · Psychology · Speech and Audio Processing · Artificial Intelligence
| Citations per year | 0.75 |
|---|---|
| Citation span | 2022 - 2025 (4) |
| Highly cited | No |