Research Article
Fuzzy Bio-Indicator: Evaluation of Logicality and Connectivity for Living Neuronal Network
@INPROCEEDINGS{10.4108/icst.bodynets.2013.253582, author={Isao Hayashi and Koki Mitsumoto and Suguru Kudoh}, title={Fuzzy Bio-Indicator: Evaluation of Logicality and Connectivity for Living Neuronal Network}, proceedings={8th International Conference on Body Area Networks}, publisher={ICST}, proceedings_a={BODYNETS}, year={2013}, month={10}, keywords={living neuronal network culture system fuzzy connectives}, doi={10.4108/icst.bodynets.2013.253582} }- Isao Hayashi
Koki Mitsumoto
Suguru Kudoh
Year: 2013
Fuzzy Bio-Indicator: Evaluation of Logicality and Connectivity for Living Neuronal Network
BODYNETS
ACM
DOI: 10.4108/icst.bodynets.2013.253582
Abstract
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.