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ICONIP
2007

Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition

9 years 4 months ago
Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition
Abstract. The paper describes the integration of brain-inspired systems to perform audiovisual pattern recognition tasks. Individual sensory pathways as well as the integrative modules are implemented using a fast version of spiking neurons grouped in evolving spiking neural network (ESNN) architectures capable of lifelong adaptation. We design a new crossmodal integration system, where individual modalities can influence others before individual decisions are made, fact that resembles some characteristics of the biological brains. The system is applied to the person authentication problem. Preliminary results show that the integrated system can improve the accuracy in many operation points as well as it enables a range of multi-criteria optimizations.
Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasa
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where ICONIP
Authors Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasabov
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