We introduce a model of word learning in infants based on cross-modal interactions. Our model employs an architecture consisting of two Self-organizing maps (SOMs), representing the visual and auditory modalities, which are connected by Hebbian links. In contrast to previous models using a similar architecture, our model employs active Hebbian connections which propagate activation between the visual and auditory maps during learning. Our results show that categorical perception emerges from the
Attributed to:
Learning to combine sense and experience for optimal perceptual judgements
funded by
ESRC
Abstract
No abstract provided
Bibliographic Information
Type: Book Chapter
Book Title: Connectionist Models of Neurocognition and Emergent Behavior: From Theory to Applications, Proceedings of the 12th Neural Computation and Psychology Workshop (2011)
Page Reference: 110-123
ISBN: 9789814340342