Spatial-Temporal Event Detection Via Frameless Cellular Wave Computing - A Review

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.