A Self-organized artificial neural network architecture that generates the McGurk effect
2014 (English)In: The 2014 International Joint Conference on Neural Networks (IJCNN 2014): Bejing, China 7-11 July 2014, Piscataway, NJ: IEEE Communications Society, 2014, 3974-3980 p.Conference paper (Refereed)
A neural network architecture, subjected to incon-gruent stimuli in the form of lip reading of spoken syllables and listening to different spoken syllables, is shown to generate the well-known McGurk effect, e.g. visual /ga/ and auditory /ba/ is perceived as /da/ by the network. The neural network is based on an architecture which has previously been successfully applied to sensory integration of congruent stimuli and is here extended to take into account that lip reading groups consonants into equivalence classes, bilabial, dento-labial and nonlabial consonants, rather than distinguishing between individual consonants.
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2014. 3974-3980 p.
Research subject Industrial Electronics
IdentifiersURN: urn:nbn:se:ltu:diva-39563DOI: 10.1109/IJCNN.2014.6889411Local ID: e60ec4fc-a7ab-47b5-a9f4-127326fd779eISBN: 978-1-4799-6627-1 (print)OAI: oai:DiVA.org:ltu-39563DiVA: diva2:1013077
International Joint Conference on Neural Networks : 06/07/2014 - 11/07/2014
Godkänd; 2014; 20140924 (andbra)2016-10-032016-10-03Bibliographically approved