Publication

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Time encoding is a mechanism of mapping amplitude information into a time sequence. We show that time encoding based on filter banks and integrate-and- fire neurons provides, under natural conditions, an invertible representation of information, i.e., a stimulus can be recovered from its multidimensional spike train representation loss-free.

Reference

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@techreport{LAZ03,
  author = "A. A. Lazar",
  title = "Time Encoding Using Filter Banks and Integrate and-Fire Neurons",
  year = 2003,
  booktitle = "BNET Technical Report #2-03",
  month = "Sep"
}