Referenced Items are not available for this document.
Transient synchronization has been used as a mechanism of recognizing auditory patterns using integrate-and-fire neural networks. We first extend the mechanism to vision tasks and investigate the role of spike dependent learning. We show that such a temporal Hebbian learning rule significantly improves accuracy of detection. We demonstrate how multiple patterns can be identified by a single pattern selective neuron and how a temporal album can be constructed. This principle may lead to multidimensional memories, where the capacity per neuron is considerably increased with accurate detection of spike synchronization.
Published in:
Neural Networks, IEEE Transactions on
(Volume:14
,
Issue:
2
)
Date of Publication: Mar 2003
- Page(s):
- 439 - 443
- ISSN :
- 1045-9227
- INSPEC Accession Number:
- 7559877
- Digital Object Identifier :
- 10.1109/TNN.2003.809641
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 26 March 2003
- Issue Date :
- Mar 2003
- Sponsored by :
- IEEE Computational Intelligence Society
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