Presentation | 2011-01-24 Design of functional dynamical system : Mathematical Modeling of Active Touch Sensor Tatsuo YANAGITA, |
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Abstract(in Japanese) | (See Japanese page) |
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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Conference Information | |
Committee | NC |
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Conference Date | 2011/1/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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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 |
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