Title :
Description of activity of living neuronal network by fuzzy bio-indicator
Author :
Hayashi, Isao ; Kudoh, Suguru N.
Author_Institution :
Dept. of Inf., Kansai Univ. Takatsuki, Takatsuki, Japan
Abstract :
The culture dish describes the small fundamental world resembling human brain function. Multi-site recording system for extracellular action potentials is used for recording the activity of living neuronal networks. The living neuronal network is able to express several patterns independently, and that\´s meaning that it has fundamental mechanisms for intelligent information processing. In this paper, we propose a model to analyse logicality of signals and connectivity of electrodes in a culture dish of rat hippocampal neurons. We call it "fuzzy bio-indicator". This indicator is a kind of mapping methods to show logicality and connectivity of pulse frequency from active potential of neuronal network. We try to analyze the dynamics of action potentials of neuronal networks by the fuzzy bio-indicator, and identify the logicality and connectivity of neuronal networks through the indicator. We show here the usefulness of fuzzy bio-indicator through numerical examples and action potential detected from the culture neuronal network.
Keywords :
bioelectric potentials; brain; fuzzy set theory; medical signal processing; neural nets; action potential dynamics analysis; active potential; activity recording; culture dish; culture neuronal network; electrode connectivity; extracellular action potentials; fuzzy bio-indicator; human brain function; intelligent information processing; living neuronal network; multisite recording system; pulse frequency; rat hippocampal neurons; signal logicality analysis; Absorption; Biological neural networks; Delays; Electric potential; Electrodes; Histograms; Neurons; Culture System; Fuzzy Connectives; Living Neuronal Network;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
DOI :
10.1109/FUZZ-IEEE.2014.6891880