Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9653507 | Neurocomputing | 2005 | 7 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Aurel A. Lazar,