Dynamic selective auditory attention detection using RNN and reinforcement learning
Abstract The cocktail party phenomenon describes the ability of the human brain to focus auditory attention on a particular stimulus while ignoring other acoustic events. Selective auditory attention detection (SAAD) is an important issue in the development of brain-computer interface systems and co...
Saved in:
Main Authors: | Masoud Geravanchizadeh, Hossein Roushan |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/61a6925d5c0242f5a2e7ad00979805c7 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Brain Activity Recognition Method Based on Attention-Based RNN Mode
by: Song Zhou, et al.
Published: (2021) -
Dentate granule cells encode auditory decisions after reinforcement learning in rats
by: Jia Shen, et al.
Published: (2021) -
Auditory attention activates peripheral visual cortex.
by: Anthony D Cate, et al.
Published: (2009) -
Attentional modulation of auditory steady-state responses.
by: Yatin Mahajan, et al.
Published: (2014) -
RNN- and CNN-based weed detection for crop improvement: An overview
by: Brahim Jabir, et al.
Published: (2021)