Optimal features for auditory categorization

Vocalizations such as speech or animal calls have high variability in production. Here, the authors report that a few mid-level acoustic features provide sufficient information to generalize across this variability and classify vocalization types and auditory cortical neurons exhibit tuning to these...

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Detalles Bibliográficos
Autores principales:	Shi Tong Liu, Pilar Montes-Lourido, Xiaoqin Wang, Srivatsun Sadagopan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/fd026e2dec424478ae1e739495b609e1
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id	oai:doaj.org-article:fd026e2dec424478ae1e739495b609e1
record_format	dspace
spelling	oai:doaj.org-article:fd026e2dec424478ae1e739495b609e12021-12-02T17:01:47ZOptimal features for auditory categorization10.1038/s41467-019-09115-y2041-1723https://doaj.org/article/fd026e2dec424478ae1e739495b609e12019-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-09115-yhttps://doaj.org/toc/2041-1723Vocalizations such as speech or animal calls have high variability in production. Here, the authors report that a few mid-level acoustic features provide sufficient information to generalize across this variability and classify vocalization types and auditory cortical neurons exhibit tuning to these features.Shi Tong LiuPilar Montes-LouridoXiaoqin WangSrivatsun SadagopanNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Shi Tong Liu Pilar Montes-Lourido Xiaoqin Wang Srivatsun Sadagopan Optimal features for auditory categorization
description	Vocalizations such as speech or animal calls have high variability in production. Here, the authors report that a few mid-level acoustic features provide sufficient information to generalize across this variability and classify vocalization types and auditory cortical neurons exhibit tuning to these features.
format	article
author	Shi Tong Liu Pilar Montes-Lourido Xiaoqin Wang Srivatsun Sadagopan
author_facet	Shi Tong Liu Pilar Montes-Lourido Xiaoqin Wang Srivatsun Sadagopan
author_sort	Shi Tong Liu
title	Optimal features for auditory categorization
title_short	Optimal features for auditory categorization
title_full	Optimal features for auditory categorization
title_fullStr	Optimal features for auditory categorization
title_full_unstemmed	Optimal features for auditory categorization
title_sort	optimal features for auditory categorization
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/fd026e2dec424478ae1e739495b609e1
work_keys_str_mv	AT shitongliu optimalfeaturesforauditorycategorization AT pilarmonteslourido optimalfeaturesforauditorycategorization AT xiaoqinwang optimalfeaturesforauditorycategorization AT srivatsunsadagopan optimalfeaturesforauditorycategorization
_version_	1718382059887525888

Optimal features for auditory categorization

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