Emulating the perceptual system of the brain for the purpose of sensor fusion

This work presents a bionic model derived from research findings about the perceptual system of the human brain to build next generation intelligent sensor fusion systems. Therefore, 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 can be learned from examples. Perception is based on sensor data as well as on interaction with cognitive processes like focus of attention, memory, and knowledge. Additionally, a mechanism for evaluating perception by emotions is suggested.