Publication: SPAN: spike pattern association neuron for learning spatio-temporal sequences
SPAN: spike pattern association neuron for learning spatio-temporal sequences
Date
Date
Date
Citations
Mohemmed, A., Schliebs, S., Matsuda, S., & Kasabov, N. (2012). SPAN: spike pattern association neuron for learning spatio-temporal sequences. International Journal of Neural Systems, 22(4), 1250012. https://doi.org/10.1142/S0129065712500128
Abstract
Abstract
Abstract
Spiking Neural Networks (SNN) were shown to be suitable tools for the processing of spatio-temporal information. However, due to their inherent complexity, the formulation of efficient supervised learning algorithms for SNN is difficult and remains an important problem in the research area. This article presents SPAN — a spiking neuron that is able to learn associations of arbitrary spike trains in a supervised fashion allowing the processing of spatio-temporal information encoded in the precise timing of spikes. The idea of the propo
Metrics
Downloads
Views
Additional indexing
Creators (Authors)
- Mohemmed, A
- Schliebs, S
- Matsuda, S
- Kasabov, N
Journal/Series Title
Journal/Series Title
Journal/Series Title
Volume
Volume
Volume
Number
Number
Number
Page range/Item number
Page range/Item number
Page range/Item number
Item Type
Item Type
Item Type
In collections
Language
Language
Language
Publication date
Publication date
Publication date
Date available
Date available
Date available
Series Name
Series Name
Series Name
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
Additional Information
Additional Information
Additional Information
OA Status
OA Status
OA Status
Publisher DOI
Metrics
Downloads
Views
Citations
Mohemmed, A., Schliebs, S., Matsuda, S., & Kasabov, N. (2012). SPAN: spike pattern association neuron for learning spatio-temporal sequences. International Journal of Neural Systems, 22(4), 1250012. https://doi.org/10.1142/S0129065712500128
