Presentation 2011-01-24
Design of functional dynamical system : Mathematical Modeling of Active Touch Sensor
Tatsuo YANAGITA,
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Abstract(in English) The active sensory system is designed by the Markov chain Monte Carlo (MCMC). The system is feedback circuit composed of three parts; sensory, motor, and internal neurons, and each neuron is described by excitable cellular automata (ECA). The signal of sensor neurons, which depends on the position, transmitted to internal neurons, and then, the motion of the sensor is controlled by the output signal of motor neurons. The neural connections between them are determined by MCMC so as to minimize (maximize) a given function. Several modes of active sensory motion have been found by changing the number of neurons and sensors.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Network dynamical system / Markov chain Monte Carlo method / Design / Active Touch Sensor / Excitable element / Neural networek
Paper # NLP2010-130,NC2010-94
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Committee NC
Conference Date 2011/1/17(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Design of functional dynamical system : Mathematical Modeling of Active Touch Sensor
Sub Title (in English)
Keyword(1) Network dynamical system
Keyword(2) Markov chain Monte Carlo method
Keyword(3) Design
Keyword(4) Active Touch Sensor
Keyword(5) Excitable element
Keyword(6) Neural networek
1st Author's Name Tatsuo YANAGITA
1st Author's Affiliation Research Institute of Electronic Science, Hokkaido University()
Date 2011-01-24
Paper # NLP2010-130,NC2010-94
Volume (vol) vol.110
Number (no) 388
Page pp.pp.-
#Pages 5
Date of Issue