Temporal album

Temporal album

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 impro...

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Bibliographic Details
Published in:IEEE transactions on neural networks Vol. 14; no. 2; pp. 439 - 443
Main Authors: Vasilaki, E., Jianfeng Feng, Buxton, H.
Format: Journal Article
Language:English
Published: United States IEEE 01-03-2003
Subjects:
Backpropagation
Biological neural networks
Delay effects
Feedback control
Feedback loop
Hebbian theory
Learning
Multidimensional systems
Neural networks
Neurons
Neuroscience
Pattern recognition
Spikes
Synchronism
Synchronization
Tasks
Temporal logic
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Description
Summary: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.
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ISSN:1045-9227
1941-0093
DOI:10.1109/TNN.2003.809641