A neural ensemble correlation code for sound category identification.
Humans and other animals effortlessly identify natural sounds and categorize them into behaviorally relevant categories. Yet, the acoustic features and neural transformations that enable sound recognition and the formation of perceptual categories are largely unknown. Here, using multichannel neural...
Main Authors: | Mina Sadeghi, Xiu Zhai, Ian H Stevenson, Monty A Escabí |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2019-10-01
|
Series: | PLoS Biology |
Online Access: | https://doi.org/10.1371/journal.pbio.3000449 |
Similar Items
-
Spectrotemporal sound preferences of neighboring inferior colliculus neurons: implications for local circuitry and processing
by: Chen eChen, et al.
Published: (2012-09-01) -
Optimal Multichannel Artifact Prediction and Removal for Neural Stimulation and Brain Machine Interfaces
by: Mina Sadeghi Najafabadi, et al.
Published: (2020-07-01) -
Spiking network optimized for word recognition in noise predicts auditory system hierarchy.
by: Fatemeh Khatami, et al.
Published: (2020-06-01) -
Sound Categories: Category Formation and Evidence-Based Taxonomies
by: Oliver Bones, et al.
Published: (2018-07-01) -
Neural coding of sound envelope in reverberant environments
by: Slama, Michaël C. C. (Michaël Charles Chalom)
Published: (2012)