Presentation 1998/5/25
Power Spectrum Analysis of Network Dynamics for the Ambiguos Multiple Arrows Based on a Pulse-driven Neural Cell Model
Hideki Sakamoto, Kozo Itano,
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Abstract(in English) We proposed to use the TFD of output and internal state waves to analyze the dynamics of the neural network for ambiguous multiple arrows based on a pulse-driven neural cell model with fluctuation. With this method, we can analyze some phenomenon on the network like disturbance of pulse-pattern or change of alternative recognition by ovserve less amount of data than ovserve raw palse data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) pulse-driven neural cell model with fluctation / pulse neural network / pulse dynamics / ambiguous multiple arrows / alternative recognition / time-frequency analysis
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Committee NC
Conference Date 1998/5/25(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) Power Spectrum Analysis of Network Dynamics for the Ambiguos Multiple Arrows Based on a Pulse-driven Neural Cell Model
Sub Title (in English)
Keyword(1) pulse-driven neural cell model with fluctation
Keyword(2) pulse neural network
Keyword(3) pulse dynamics
Keyword(4) ambiguous multiple arrows
Keyword(5) alternative recognition
Keyword(6) time-frequency analysis
1st Author's Name Hideki Sakamoto
1st Author's Affiliation Institute of Information Sciences and Electronics, University of Tsukuba()
2nd Author's Name Kozo Itano
2nd Author's Affiliation Institute of Information Sciences and Electronics, University of Tsukuba
Date 1998/5/25
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Volume (vol) vol.98
Number (no) 77
Page pp.pp.-
#Pages 8
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