This article presents a bionic model derived from research findings about the perceptual system of the human brain to build next generation intelligent sensor fusion systems. For this purpose, a new information processing principle called neuro-symbolic information processing is introduced. According to this method, sensory data are processed by so-called neuro-symbolic networks. The basic processing units of neuro-symbolic networks are neuro-symbols. Correlations between neuro-symbols of a neuro-symbolic network are learned from examples. Perception is based on sensor data and on interaction with cognitive processes like focus of attention, memory, and knowledge.
CITATION STYLE
Velik, R., Bruckner, D., Lang, R., & Deutsch, T. (2009). Emulating the perceptual system of the brain for the purpose of sensor fusion. In Advances in Intelligent and Soft Computing (Vol. 60, pp. 17–27). Springer Verlag. https://doi.org/10.1007/978-3-642-03202-8_2
Mendeley helps you to discover research relevant for your work.