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Neuronal coding of multiscale temporal features in communication sequences within the bat auditory cortex

  • Experimental evidence supports that cortical oscillations represent multiscale temporal modulations existent in natural stimuli, yet little is known about the processing of these multiple timescales at a neuronal level. Here, using extracellular recordings from the auditory cortex (AC) of awake bats (Carollia perspicillata), we show the existence of three neuronal types which represent different levels of the temporal structure of conspecific vocalizations, and therefore constitute direct evidence of multiscale temporal processing of naturalistic stimuli by neurons in the AC. These neuronal subpopulations synchronize differently to local-field potentials, particularly in theta- and high frequency bands, and are informative to a different degree in terms of their spike rate. Interestingly, we also observed that both low and high frequency cortical oscillations can be highly informative about the listened calls. Our results suggest that multiscale neuronal processing allows for the precise and non-redundant representation of natural vocalizations in the AC.

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Verfasserangaben:Francisco García RosalesORCiDGND, Marcel Jerome BeetzORCiDGND, Yuranny Cabral-Calderı́nORCiD, Manfred KösslORCiD, Julio C. Hechavarria-CueriaORCiDGND
URN:urn:nbn:de:hebis:30:3-484547
DOI:https://doi.org/10.1038/s42003-018-0205-5
ISSN:2399-3642
Pubmed-Id:https://pubmed.ncbi.nlm.nih.gov/30480101
Titel des übergeordneten Werkes (Englisch):Communications biology
Verlag:Springer Nature
Verlagsort:London
Dokumentart:Wissenschaftlicher Artikel
Sprache:Englisch
Jahr der Fertigstellung:2018
Datum der Erstveröffentlichung:20.11.2018
Veröffentlichende Institution:Universitätsbibliothek Johann Christian Senckenberg
Datum der Freischaltung:06.12.2018
Freies Schlagwort / Tag:Cortex; Neural circuits; Sensory processing
Jahrgang:1
Ausgabe / Heft:Art. 200
Seitenzahl:14
Erste Seite:1
Letzte Seite:14
Bemerkung:
Rights and permissions: Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
HeBIS-PPN:440088151
Institute:Biowissenschaften / Biowissenschaften
DDC-Klassifikation:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Sammlungen:Universitätspublikationen
Lizenz (Deutsch):License LogoCreative Commons - Namensnennung 4.0