Evolving spiking neural networks for audiovisual information processing |
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| Authors: | Simei Gomes Wysoski Lubica Benuskova Nikola Kasabov |
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| Institution: | 2. Department of Computer Science, University of Otago, Dunedin, New Zealand;1. Institute of Intelligence Science and Technology, Hohai University, Nanjing 210098, PR China;2. School of Management, Beijing Normal University, Zhuhai Campus, Zhuhai 519087, PR China;1. Knowledge Engineering & Discovery Research Institute (KEDRI), Auckland University of Technology, New Zealand;2. Institute of Neuroinformatics (INI), University of Zurich, Switzerland;3. ETH Zurich, Switzerland;1. OPTIMA Unit, TECNALIA. P. Tecnologico Bizkaia, Ed. 700, 48160 Derio, Spain;2. Dept. of Communications Engineering, University of the Basque Country UPV/EHU, Alameda Urquijo S/N, 48013 Bilbao, Spain;3. Basque Center for Applied Mathematics (BCAM), 48009 Bilbao, Spain;4. Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland University of Technology (AUT), 1010 Auckland, New Zealand;1. Department of Electrical Engineering, Amirkabir University of Technology, 424 Hafez Ave, Tehran 15875-4413, Iran;2. Department of Computer and Data Sciences, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, Iran;3. CerCo UMR 5549, CNRS Université Toulouse 3, France |
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| Abstract: | This paper presents a new modular and integrative sensory information system inspired by the way the brain performs information processing, in particular, pattern recognition. Spiking neural networks are used to model human-like visual and auditory pathways. This bimodal system is trained to perform the specific task of person authentication. The two unimodal systems are individually tuned and trained to recognize faces and speech signals from spoken utterances, respectively. New learning procedures are designed to operate in an online evolvable and adaptive way. Several ways of modelling sensory integration using spiking neural network architectures are suggested and evaluated in computer experiments. |
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