Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
 
 
DownloadE-Mail
 Lokale TagsFreigabegeschichteDetailsÜbersicht
  Multisensory perception: from integration to remapping

Ernst, M., & Di Luca, M. (2011). Multisensory perception: from integration to remapping. In J. Trommershäuser, K. Körding, & M. Landy (Eds.), Sensory Cue Integration (pp. 225-250). New York, NY, USA: Oxford University Press. doi:10.1093/acprof:oso/9780195387247.001.0001.

Item is

 

einblenden: alle ausblenden: alle

Basisdaten

einblenden: ausblenden:
Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-B9A8-4 Versions-Permalink: https://hdl.handle.net/21.11116/0000-0002-0F69-9
Genre: Buchkapitel

Urheber

einblenden:
ausblenden:
 Urheber:
Ernst, M1, 2, Autor           
Di Luca, M1, 2, Autor           
Affiliations:
1Research Group Multisensory Perception and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497806              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: The brain receives information about the environment from all the sensory modalities, including vision, touch and audition. To efficiently interact with the environment, this information must eventually converge in the brain in order to form a reliable and accurate multimodal percept. This process is often complicated by the existence of noise at every level of signal processing, which makes the sensory information derived from the world imprecise and potentially inaccurate. There are several ways in which the nervous system may minimize the negative consequences of noise in terms of precision and accuracy. Two key strategies are to combine redundant sensory estimates and to utilize acquired knowledge about the statistical regularities of different sensory signals. In this lecture, I elaborate on how these strategies may be used by the nervous system in order to obtain the best possible estimates from noisy sensory signals, such that we are able of efficiently interact with the environment. Particularly, I will focus on the learning aspects and how our perceptions are tuned to the statistical regularities of an ever changing environment.

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2012-092011-10
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: BibTex Citekey: ErnstDM2011
DOI: 10.1093/acprof:oso/9780195387247.001.0001
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Sensory Cue Integration
Genre der Quelle: Buch
 Urheber:
Trommershäuser, J, Herausgeber
Körding, KP, Herausgeber
Landy, MS, Herausgeber
Affiliations:
-
Ort, Verlag, Ausgabe: New York, NY, USA : Oxford University Press
Seiten: - Band / Heft: - Artikelnummer: 12 Start- / Endseite: 225 - 250 Identifikator: ISBN: 978-0-19-538724-7