Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/33386
Título: | Learning a musical sequence by observation : a robotics implementation of a dynamic neural field model |
Autor(es): | Ferreira, Flora Erlhagen, Wolfram Sousa, Emanuel Louro, Luís Bicho, E. |
Palavras-chave: | Dynamic field model Learning Sequence learning Musical sequence Time intervals Error correction Working memory Action planning |
Data: | 13-Out-2014 |
Editora: | IEEE |
Resumo(s): | We tested in a robotics experiment a dynamic neural field model for learning a precisely timed musical sequence. Based on neuro-plausible processing mechanisms, the model implements the idea that order and relative timing of events are stored in an integrated representation whereas the onset of sequence production is controlled by a separate process. Dynamic neural fields provide a rigorous theoretical framework to analyze and implement the necessary neural computations that bridge gaps between sensation and action in order to mediate working memory, action planing, and decision making. The robot first memorizes a short musical sequence performed by a human teacher by watching color coded keys on a screen, and then tries to execute the piece of music on a keyboard from memory without any external cues. The experimental results show that the robot is able to correct in very few demonstration-execution cycles initial sequencing and timing errors. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/33386 |
ISBN: | 9781479975402 |
DOI: | 10.1109/DEVLRN.2014.6982973 |
Versão da editora: | http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6982973 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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MusicalSequenceICDL2014.pdf | preprint | 1,9 MB | Adobe PDF | Ver/Abrir |