抄録
The great majority of currently used computational models and devices are using discrete computation. Discrete in time, in value , in parameters. In nature, on the contrary, like in the mammalian retina, difficult tasks are solved with simplicity, low power and elegance, in a wavelike manner, without discretization. Spatial-temporal event detection is a prototype problem in many sophisticated problems of recognition, identification, associative memory, machine-vision, multimodal sensory systems, navigation, and control. In this paper we introduce how continuous spatial-temporal dynamics can be used as algorithmic tools for computation and show a few examples about their usage in practice. These techniques introduce a new kind of thinking also in the field on nonlinear dynamical systems, in general.
