Connecting Deep Neural Networks to Physical, Perceptual, and Electrophysiological Auditory Signals

Connecting Deep Neural Networks to Physical, Perceptual, and Electrophysiological Auditory Signals

Deep neural networks have been recently shown to capture intricate information transformation of signals from the sensory profiles to semantic representations that facilitate recognition or discrimination of complex stimuli. In this vein, convolutional neural networks (CNNs) have been used very succ...

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Bibliographic Details
Main Authors: Nicholas Huang, Malcolm Slaney, Mounya Elhilali
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-08-01
Series:Frontiers in Neuroscience
Subjects:
convolutional neural network
auditory salience
natural scenes
audio classification
electroencephalography
deep learning
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2018.00532/full

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https://www.frontiersin.org/article/10.3389/fnins.2018.00532/full

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