Abstract
We propose a mechanism explaining the high sensitivity and selectivity in sensorial natural neural networks. Related to this, we introduce a new paradigm in measurement, namely the concept of measurement based on chaos and we briefly present several sensor concepts, recently patented. The sensors have high sensitivity, and selectivity, while mimicking the natural sensing mechanisms. High sensitivity, measurement is achieved by using a nonlinear dynamic(chaotic)system and by monitoring the change of the global behavior of the system when the measured parameter changes.
