Presentation 2007-03-15
Coding characteristics of A/D converters based on spiking neurons
Toshimichi SAITO, Aya TANAKA, Hiroyuki TORIKAI,
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Abstract(in English) This paper studies analog-to-digital encoding based on artificial spiking neurons that can cause a variety of spike-trains. The neuron dynamics can be integrated into a spike-position map and precise discussion is possible. We consider two kinds of encodings by spike-position modulation. The first one is binary encoding where an analog input is given by initial value and the dynamics is equivalent to the Bernoulli shift. The second one is rate encoding where the analog input is given by a parameter value and the dynamics is equivalent to the circle map. These can be regarded as a novel implementation method of A/D converters and may be developed into fusion of analog signal processing and neuro dynamics.
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Keyword(in English) spiking neurons / analog-to-digital converters / binary encoding / temporal encoding / rate encoding
Paper # NC2006-169
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Committee NC
Conference Date 2007/3/8(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Coding characteristics of A/D converters based on spiking neurons
Sub Title (in English)
Keyword(1) spiking neurons
Keyword(2) analog-to-digital converters
Keyword(3) binary encoding
Keyword(4) temporal encoding
Keyword(5) rate encoding
1st Author's Name Toshimichi SAITO
1st Author's Affiliation Department of Electronics, Electrical and Computer Engineering, Hosei University()
2nd Author's Name Aya TANAKA
2nd Author's Affiliation Department of Electronics, Electrical and Computer Engineering, Hosei University
3rd Author's Name Hiroyuki TORIKAI
3rd Author's Affiliation Department of Electronics, Electrical and Computer Engineering, Hosei University
Date 2007-03-15
Paper # NC2006-169
Volume (vol) vol.106
Number (no) 589
Page pp.pp.-
#Pages 4
Date of Issue