Exploring Hierarchical Auditory Representation via a Neural Encoding Model

Exploring Hierarchical Auditory Representation via a Neural Encoding Model

By integrating hierarchical feature modeling of auditory information using deep neural networks (DNNs), recent functional magnetic resonance imaging (fMRI) encoding studies have revealed the hierarchical neural auditory representation in the superior temporal gyrus (STG). Most of these studies adopt...

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Bibliographic Details
Main Authors: Liting Wang, Huan Liu, Xin Zhang, Shijie Zhao, Lei Guo, Junwei Han, Xintao Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Neuroscience
Subjects:
hierarchical auditory representation
deep convolutional auto-encoder
naturalistic experience
neural encoding
fMRI
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.843988/full

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https://www.frontiersin.org/articles/10.3389/fnins.2022.843988/full

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