Vasilaki, E., Feng, J. and Buxton, H. (2003) Temporal album. IEEE Transactions on Neural Networks, 14 (2). pp. 439-443. ISSN 1045-9227

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Abstract

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.

Item Type:	Article
Schools and Departments:	School of Engineering and Informatics > Informatics
Subjects:	Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
Depositing User:	Chris Keene
Date Deposited:	12 Feb 2008
Last Modified:	13 Mar 2017 20:54
URI:	http://srodev.sussex.ac.uk/id/eprint/1259
Google Scholar:	3 Citations

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