Research
Neural integration of acoustic statistics enables mice to detect acoustic targets in noise
PLOS ·
The Brief
- A study in PLOS Biology by Alishbayli, Przewrocki, van Heumen and Englitz examines how mice detect acoustic targets in noise.
- The work focuses on sound textures such as rain and wind, which can be described and predicted only statistically.
- The authors propose that neural integration of acoustic statistics enables this detection.
Why it matters
It offers a neural account of how listeners pick out meaningful sounds from background noise, which is relevant to research on auditory perception.
Who’s affected
- auditory neuroscientists
- researchers studying sound perception in noisy environments
- #hearing
- #neuroscience
- #auditory perception
- #mice
- #sound textures
by Artoghrul Alishbayli, Karol Przewrocki, Paul van Heumen, Bernhard Englitz Sound detection amidst noise presents an important challenge in audition. Many naturally occurring sounds (rain, wind) can be described and predicted only statistically, so-called sound textures…
Timeline
Article published in PLOS Biology
PLOS Biology
Neural integration of acoustic statistics enables mice to detect acoustic targets in noise