Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP0211972
Funding Status
Closed
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Funded Activity Summary
Adaptive learning of spatiotemporal patterns: Development of multi-layer spiking neuron networks using Hebbian and competitive learning. The aim of this project is to develop a method for recognising patterns that change in time. The development of a reliable method that is fast and robust to noise will have wide application in many areas, especially computer speech recognition where timing plays a crucial role. Building-blocks similar to those in the brain (spiking neurons) will be used. Automatic techniques will be used to teach groups of spiking neurons the differences between sequences of events by adjusting connections between them. The significance of this approach is that it captures information about timing that is missed in existing techniques.Funded Activity Details
Start Date: 2002
End Date: 12-2002
Funding Scheme: Discovery Projects
Funding Amount: $50,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Neural Networks, Genetic Alogrithms And Fuzzy Logic | Speech Recognition | Artificial Intelligence and Image Processing | Pattern Recognition
ANZSRC Socio-Economic Objective (SEO)
Telecommunications | Information processing services | Voice equipment |
