Journal
NEUROCOMPUTING
Volume 65, Issue -, Pages 401-407Publisher
ELSEVIER
DOI: 10.1016/j.neucom.2004.10.034
Keywords
time encoding; integrate-and-fire neurons; filter banks; canonical models; perfect recovery
Categories
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available