caa a22 4500 463245067 CHVBK 20180405153323.0 cr unu---uuuuu 170326e20071201xx s 000 0 eng 10.1007/s00422-007-0184-y doi (NATIONALLICENCE)springer-10.1007/s00422-007-0184-y A neural network model for generating complex birdsong syntax [Elektronische Daten] [Kentaro Katahira, Kazuo Okanoya, Masato Okada] The singing behavior of songbirds has been investigated as a model of sequence learning and production. The song of the Bengalese finch, Lonchura striata var. domestica, is well described by a finite state automaton including a stochastic transition of the note sequence, which can be regarded as a higher-order Markov process. Focusing on the neural structure of songbirds, we propose a neural network model that generates higher-order Markov processes. The neurons in the robust nucleus of the archistriatum (RA) encode each note; they are activated by RA-projecting neurons in the HVC (used as a proper name). We hypothesize that the same note included in different chunks is encoded by distinct 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 developed a neural network model of the local circuits in the HVC that explains the mechanism by which RA-projecting neurons transit stochastically on first-order Markov processes. Numerical simulation showed that this model can generate first-order Markov process song sequences. Springer-Verlag, 2007 Katahira Kentaro Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, 277-8561, Kashiwa, Chiba, Japan aut Okanoya Kazuo RIKEN BSI, 2-1 Hirosawa Wako, Saitama, Japan aut Okada Masato Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, 277-8561, Kashiwa, Chiba, Japan aut Biological Cybernetics Springer-Verlag 97/5-6(2007-12-01), 441-448 0340-1200 97:5-6<441 2007 97 422 https://doi.org/10.1007/s00422-007-0184-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00422-007-0184-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Katahira Kentaro Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, 277-8561, Kashiwa, Chiba, Japan aut NATIONALLICENCE 700 1- Okanoya Kazuo RIKEN BSI, 2-1 Hirosawa Wako, Saitama, Japan aut NATIONALLICENCE 700 1- Okada Masato Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, 277-8561, Kashiwa, Chiba, Japan aut NATIONALLICENCE 773 0- Biological Cybernetics Springer-Verlag 97/5-6(2007-12-01), 441-448 0340-1200 97:5-6<441 2007 97 422 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer