Abstract. Based on the research on mechanism of biological olfactory system, we constructed a K-set, which is a novel bionic neural network. Founded on the groundwork of K0, KI and KII sets, the KIII set in the K-set hierarchy simulates the whole olfactory neural system. In contrast to the conventional artificial neural networks, the KIII set operates in nonconvergent 'chaotic' dynamical modes similar to the biological olfactory system. In this paper, an application of electronic nose-brain for tea classification using the KIII set is presented and its performance is evaluated in comparison with other methods.
A method based on magneto-acoustic technique is developed to measure bioelectric currents non-invasively. Theoretically, vibrations of particles in the medium are produced due to the Lorentz force when oscillatory currents flow through medium in a steady magnetic field. These vibrations contain information of the bioelectric currents and can be detected by surface contact detector. An experimental setup is presented to detect the microampere level currents in saline and tissue. The results show the linear relationship between the acoustic signal and the current.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.