期刊
NEUROCOMPUTING
卷 65, 期 -, 页码 401-407出版社
ELSEVIER
DOI: 10.1016/j.neucom.2004.10.034
关键词
time encoding; integrate-and-fire neurons; filter banks; canonical models; perfect recovery
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. (c) 2004 Published by Elsevier B.V.
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