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Time Encoding Using Filter Banks and Integrate-and-Fire Neurons

By Aurel A. Lazar


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

Year: 2004
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