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SUMMARY:<b>Coding of speech into nerve-action potentials</b>
DTSTART:20091112T121500
DTSTAMP:20260407T020323Z
UID:ead5fd6314fa79e5506723db5ca39be98a6e5b015275d8a1b5abd380
CATEGORIES:Conferences - Seminars
DESCRIPTION:Werner Hemmert\, Bernstein Center for Computational Neuroscien
 ce\, Munich\nOne of the most critical processing steps during encoding of 
 sound signals for neuronal processing is when the analog pressure wave is 
 coded into discrete nerve-action potentials. This conversion induces massi
 ve information loss - or to phrase it positively - information reduction. 
 As any information lost during this process is no longer available for neu
 ronal processing\, it is important to understand and quantitatively model 
 the underlying principles. We have developed a detailed model of auditory 
 processing\, which codes sound signals into spike-trains of the auditory n
 erve. These drive Hodgkin-Huxley models of cochlear nucleus neurons\, whic
 h are known to extract temporal features of sound signals.\n\nWe analyze t
 he quality of coding with the framework of automatic speech recognition an
 d the temporal information processing capabilities with the methods of inf
 ormation theory. Our latest improvements in speech coding by introducing t
 he effect of offset-adaptation together with an improved matching of neuro
 nal features to the speech recognizer using an artificial neuronal network
  has lead to significant improvements of recognition scores\, now reaching
  the values of successful technical feature extraction methods. Offset ada
 ptation is also required to drive onset neurons in the cochlear nucleus\, 
 which are able to code temporal information with sub-millisecond precision
  (< 0.02 ms). Our results provide quantitative insight into temporal proce
 ssing strategies of neuronal processing and are highly relevant for cochle
 ar implants.\n\nWerner Hemmert\, Marcus Holmberg\, Huan Wang\, Michele Nic
 oletti\, Michael Isik\, Sonja Karg\, Willy Bade Bio-Inspired Information P
 rocessing\, IMETUM - Institute for Medical Engineering\, Technische Univer
 sität München and Bernstein Center for Computational Neuroscience\, Muni
 ch
LOCATION:AAB 032
STATUS:CONFIRMED
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