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Dokumenttyp:
Konferenzbeitrag 
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz 
Autor(en):
Firouzi, M.; Glasauer, S.; Conradt, J. 
Titel:
Flexible Cue Integration by Line Attraction Dynamics and Divisive Normalization 
Seitenangaben Beitrag:
691-698 
Abstract:
One of the key computations performed in human brain is multisensory cue integration, through which humans are able to estimate the current state of the world to discover relative reliabilities and relations between observed cues. Mammalian cortex consists of highly distributed and interconnected populations of neurons, each providing a specific type of information about the state of the world. Connections between areas seemingly realize functional relationships amongst them and computation occu...    »
 
Stichworte:
Multi-sensory Cue Integration; Line Attraction Dynamics; Divisive Normalization; Associative Hebbian Learning; Heading estimation 
Dewey-Dezimalklassifikation:
620 Ingenieurwissenschaften 
Kongress- / Buchtitel:
International Conference on Artificial Neural Networks (ICANN), Hamburg, Germany 
Ausrichter der Konferenz:
European Neural Network Society (ENNS) 
Konferenzort:
Hamburg, Germany 
Datum der Konferenz:
15–19 September 2014 
Jahr:
2014 
Quartal:
3. Quartal 
Monat:
Sep 
Reviewed:
ja 
Sprache:
en 
Semester:
SS 14 
TUM Einrichtung:
Fachgebiet Neurowissenschaftliche Systemtheorie 
Eingabe:
19.05.2014