Presentation 2006-07-14
A neural circuit model for generating complex birdsong syntax
Kentaro KATAHIRA, Kazuo OKANOAYA, Masato OKADA,
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Abstract(in English) The singing behavior of songbirds has been investigated as a model of sequence learning and production. The song of the Bengalese finches, Lonchura striata var. domestica, is especially well described by a finite state automaton including a stochastic transition of the song sequence. The note sequences of Bengalese finch songs are described as higher-order Markov processes. Focusing on the neural structure of songbirds, we propose a neural network model that generates higher-order Markov process. The neurons in a nucleus, the RA, encode each note and are activated by RA-projecting neurons in another nucleus, the HVC. We hypothesize that one note included in different chunks is encoded by different RA-projecting neuron groups. From this assumption, the output sequence of RA is a higher-order Markov process, even though the RA-projecting neurons in the HVC fire on first-order Markov processes. We propose the neural network model of local circuits in the HVC and explain the mechanism by which RA-projecting neurons transit stochastically on first-order Markov processes. We used a numerical simulation to show that our model can generate first-order Markov process song sequences.
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Keyword(in English) songbird / HVC / sequence generation / finite state automaton
Paper # NC2006-42
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Committee NC
Conference Date 2006/7/7(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A neural circuit model for generating complex birdsong syntax
Sub Title (in English)
Keyword(1) songbird
Keyword(2) HVC
Keyword(3) sequence generation
Keyword(4) finite state automaton
1st Author's Name Kentaro KATAHIRA
1st Author's Affiliation Graduate School of Frontier Sciences, The University of Tokyo:RIKEN Brain Science Institute()
2nd Author's Name Kazuo OKANOAYA
2nd Author's Affiliation RIKEN Brain Science Institute
3rd Author's Name Masato OKADA
3rd Author's Affiliation Graduate School of Frontier Sciences, The University of Tokyo:RIKEN Brain Science Institute
Date 2006-07-14
Paper # NC2006-42
Volume (vol) vol.106
Number (no) 163
Page pp.pp.-
#Pages 6
Date of Issue