Design and Fabrication of Neural Networks for Signal        Processing Recognition
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In prior work, the P.I. has developed and tested a detailed                     quantitative model of how speech information is processed in the                cochlea of mammals.  He has studied how this information, after                 processing, is allocated with speech sounds, as recognized by humans.           In this project, the P.I. will go on to apply various learning                  algorithms to processed human speech, so as to demonstrate the value            of this processing in speech recognition applications.   Innovative             learning algorithms exploiting the true series nature of speed data             will be explored, along with more clinical biologically-motivated               learning rules.
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