Stack Filters Threshold Architectures and Information       Encoding in Neural Systems
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The PI has developed a neural-like system called stack filters, which           have achieved high performance in fixed image processing and show               evidence of being more manageable, in some ways, than conventional              neural networks.  This project will attempt to develop learning                 algorithms for these systems, which will hopefully take advantage of            their unique properties.  These algorithms will be tested in speech             recognition applications, in collaboration with a researcher who has            developed a new programmable hearing implant for the deaf.
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