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Title
Japanese: 
English:Artificial model for behavior switching by using network transition through neuro modulation effect 
Author
Japanese: 倉林 大輔, Hitoshi Aonuma, 舩戸 徹郎, Tomohisa Fujiki, Masatoshi Ashikaga, Jun Ota, Hajime Asama.  
English: Daisuke Kurabayashi, Hitoshi Aonuma, Tetsuro Funato, Tomohisa Fujiki, Masatoshi Ashikaga, Jun Ota, Hajime Asama.  
Language English 
Journal/Book name
Japanese: 
English:Abstract of the 7th Int. Congress of Comparatvie Physiology and Biochemistry 
Volume, Number, Page        
Published date Aug. 2007 
Publisher
Japanese: 
English:Congress of Comparative Physiology and Biochemistry 
Conference name
Japanese: 
English:the 7th International Congress of Comparative Physiology and Biochemistry 
Conference site
Japanese: 
English:Salvador, Brazil 
Official URL http://www.ib.usp.br/iccpb-brazil/index.html
 
Abstract The neuronal mechanisms of adaptive behavior in insect lead us to expect how to possess a simple adaptation mechanism. This research focuses on behavior selection of crickets. Male crickets start fighting when they come across others. The cuticular pheromone is a trigger stimulus of this behavior. Once a cricket is beaten by the opponent, the loser wouldn’t fight anymore against the opponent. It is demonstrated that stimulation of male cuticular substances on antenna increase generation of nitric oxide (NO) in the antennal lobe of the cricket. Inhibition of NO cascade increases aggressiveness in loser cricket. Based on available biological results, we propose network models. From recent researches, multi-systems have been revealed to possess various structures with regard to functionality, for example, a small-world structure realizes effective communication in actual phenomena. Thus, network transformation causes a transition in the system functionality. We here develop a model of an antennal lobe by using an oscillator network that changes behavior according to its structure, and realize the model by employing an analog circuit comprising coupled van der Pol oscillators. Subsequently, we propose a robot that autonomously selects its behavior. The model is realized using an analog circuit and it is applied to a simple robot model that displays the behavior of a real insect.

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