Neural coding of variable song structure in the songbird

Xavier Hinaut 1, 2 Aurore Cazala 2 Catherine Del Negro 2
1 Mnemosyne - Mnemonic Synergy
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest, IMN - Institut des Maladies Neurodégénératives [Bordeaux]
Abstract : Songbirds are an excellent model for exploring the neural coding of variable sequences of categorical acoustic elements. The domesticated canary, for instance, produce higly variable songs with complex transition rules between two consecutive acoustic elements. These transition rules are non-Markovian (i.e. the next acoustic element to be sung is dependent on several previous elements, not only the last one) [1]. In the HVC of Bengalese finches, Bouchard and Brainard [5] found that variations in responses to a given syllable could be explained by a positive linear dependence on the convergence probability of preceding sequences. Here, we reanalyse data from [3] to see if similar findings could be found for canaries.
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https://hal.inria.fr/hal-01665824
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Submitted on : Sunday, December 17, 2017 - 1:36:07 AM
Last modification on : Thursday, February 7, 2019 - 4:20:53 PM

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Xavier Hinaut, Aurore Cazala, Catherine Del Negro. Neural coding of variable song structure in the songbird. EBM 2017 - European Birdsong Meeting, May 2017, Bordeaux, France. pp.1, 2017, ⟨https://birdsong2017.sciencesconf.org/⟩. ⟨hal-01665824⟩

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