Temporal album

Author

Vasilaki, Eleni ; Feng, Jianfeng ; Buxton, Hilary

Author_Institution

Sch. of Cognitive & Comput. Sci., Univ. of Sussex, Brighton, UK

Volume

14

Issue

2

fYear

2003

fDate

3/1/2003 12:00:00 AM

Firstpage

439

Lastpage

443

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.

Keywords

Hebbian learning; computer vision; face recognition; image coding; neural nets; synchronisation; transient analysis; Hebbian learning rule; computer vision; face recognition; integrate-and-fire model; neural networks; spike synchronization detection; temporal encoding; temporal vision; transient synchrony; Backpropagation; Biological neural networks; Delay effects; Feedback control; Feedback loop; Hebbian theory; Multidimensional systems; Neurons; Neuroscience; Pattern recognition;

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/TNN.2003.809641

Filename

1189641