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- W1483450131 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." @default.
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- W1483450131 date "2008-07-31" @default.
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- W1483450131 title "Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition" @default.
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- W1483450131 doi "https://doi.org/10.1007/978-3-540-69162-4_42" @default.
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