A. A. Lazar
Multichannel Time Encoding with Integrate-and-Fire Neurons
Neurocomputing , Volume 65-66 , pp. 401-407 , June 2005
Keywords:- time encoding   integrate-and-fire neurons   filter banks   canonical models   perfect recovery
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Time encoding is a mechanism of mapping amplitude information into a time sequence. We show that multichannel time encoding using filter banks and integrate-and-fire neurons provides, under natural conditions, an invertible representation of information, i.e., a sensory stimulus can be recovered from its multidimensional spike train representation loss-free. We describe an algorithm for perfect stimulus recovery and derive conditions that guarantee its convergence.


  author = "A. A. Lazar",
  title = "Multichannel Time Encoding with Integrate-and-Fire Neurons",
  year = 2005,
  journal = "Neurocomputing",
  volume = 65-66,
  pages = "401-407",
  month = "Jun",
  keywords = "time encoding, integrate-and-fire neurons, filter banks, canonical models, perfect recovery"