Fuzzy Bio-Indicator: Evaluation of Logicality and Connectivity for Living Neuronal Network

Recently, many attractive brain-computer interface (BCI) and brain-machine interface (BMI) have been proposed. It is necessary to predict activity of a neuronal network in the brain to control an outer equipment by BCI and BMI exactly. However, it is difficult for the action potential to identify from the input-output data because a neuronal network in the brain is multilayered structure, and the multilayer structure is too complex. Therefore we should discuss an analysis model of action potentials using a simple structure of neuronal network more like a culture dish. In this paper, we propose a model to analyse logicality of signals and connectivity of electrodes in a culture dish. In addition, we introduce a ``fuzzy bio-indicator'' to show activity of the culture dish of rat hippocampal neurons. We show here the usefulness of fuzzy bio-indicator through numerical examples and action potential detected from the culture neuronal network.