Hauptseite > Publikationsdatenbank > Flexible and dynamic representations of gustatory information > print

001     904384
005     20220224125158.0
024 7 _ |a 10.1016/j.cophys.2021.01.002
|2 doi
024 7 _ |a 2468-8673
|2 ISSN
024 7 _ |a 2468-8681
|2 ISSN
024 7 _ |a 2128/30353
|2 Handle
024 7 _ |a altmetric:97686969
|2 altmetric
024 7 _ |a WOS:000637691700019
|2 WOS
037 _ _ |a FZJ-2021-05954
082 _ _ |a 610
100 1 _ |a Ohla, Kathrin
|0 P:(DE-Juel1)165362
|b 0
|e Corresponding author
245 _ _ |a Flexible and dynamic representations of gustatory information
260 _ _ |a [Amsterdam]
|c 2021
|b Elsevier
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1642512928_6600
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Despite its high biological relevance in the regulation of eating behavior, little is known about the mechanisms of human taste perception. Here, I review recent findings on human taste processing and discuss the main factors that have hindered human taste research from progressing at the pace of the other sensory modalities. I mention methodological hurdles that have impeded much-needed neuroscientific applications in general and electrophysiological studies in particular. I argue that the current foci – on animal models on one hand, and neuroimaging in humans on the other – should be adjusted to include human electrophysiology because this approach could capture dynamically changing aspects of neuronal responses that remain uncharted territory in gustation.
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
|0 G:(DE-HGF)POF4-5251
|c POF4-525
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
773 _ _ |a 10.1016/j.cophys.2021.01.002
|g Vol. 20, p. 140 - 145
|0 PERI:(DE-600)2918626-2
|p 140 - 145
|t Current opinion in physiology
|v 20
|y 2021
|x 2468-8673
856 4 _ |y Restricted
|u https://juser.fz-juelich.de/record/904384/files/1-s2.0-S2468867321000109-main.pdf
856 4 _ |y Published on 2021-01-12. Available in OpenAccess from 2022-01-12.
|u https://juser.fz-juelich.de/record/904384/files/Ohla_2021_CurrOpinionPhysiology_postprint.pdf
909 C O |o oai:juser.fz-juelich.de:904384
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)165362
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5251
|x 0
914 1 _ |y 2021
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-09-29
915 _ _ |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
|0 LIC:(DE-HGF)CCBYNCND4
|2 HGFVOC
915 _ _ |a Embargoed OpenAccess
|0 StatID:(DE-HGF)0530
|2 StatID
915 _ _ |a WoS
|0 StatID:(DE-HGF)0112
|2 StatID
|b Emerging Sources Citation Index
|d 2020-09-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-09-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-09-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-09-29
920 1 _ |0 I:(DE-Juel1)INM-3-20090406
|k INM-3
|l Kognitive Neurowissenschaften
|x 0
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-3-20090406

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21