Mapping neural architectures onto acoustic features of birdsong
The motor pathway responsible for the complex vocalizations of songbirds has been extensively characterized, both in terms of intrinsic and synaptic physiology in vitro and in terms of the spatiotemporal patterns of neural activity in vivo. However, the relationship between the neural architecture o...
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2004
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00223077_v92_n1_p96_Abarbanel http://hdl.handle.net/20.500.12110/paper_00223077_v92_n1_p96_Abarbanel |
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paper:paper_00223077_v92_n1_p96_Abarbanel |
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paper:paper_00223077_v92_n1_p96_Abarbanel2023-06-08T14:49:13Z Mapping neural architectures onto acoustic features of birdsong acoustics archistriatum article birdsong brain mapping computer model corpus striatum Hodgkin Huxley equation in vitro study in vivo study interneuron motor nerve nerve conduction neural architecture nucleus hvc priority journal robust nucleus singing songbird synapse vocal cord vocalization Action Potentials Animals Brain Mapping Nerve Net Prosencephalon Songbirds Vocalization, Animal The motor pathway responsible for the complex vocalizations of songbirds has been extensively characterized, both in terms of intrinsic and synaptic physiology in vitro and in terms of the spatiotemporal patterns of neural activity in vivo. However, the relationship between the neural architecture of the song motor pathway and the acoustic features of birdsong is not well understood. Using a computational model of the song motor pathway and the songbird vocal organ, we investigate the relationship between song production and the neural connectivity of nucleus HVc (used as a proper name) and the robust nucleus of the archistriatum (RA). Drawing on recent experimental observations, our neural model contains a population of sequentially bursting HVc neurons driving the activity of a population of RA neurons. An important focus of our investigations is the contribution of intrinsic circuitry within RA to the acoustic output of the model. We find that the inclusion of inhibitory interneurons in the model can substantially influence the features of song syllables, and we illustrate the potential for subharmonic behavior in RA in response to forcing by HVc neurons. Our results demonstrate the association of specific acoustic features with specific neural connectivities and support the view that intrinsic circuitry within RA may play a critical role in generating the features of birdsong. 2004 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00223077_v92_n1_p96_Abarbanel http://hdl.handle.net/20.500.12110/paper_00223077_v92_n1_p96_Abarbanel |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
acoustics archistriatum article birdsong brain mapping computer model corpus striatum Hodgkin Huxley equation in vitro study in vivo study interneuron motor nerve nerve conduction neural architecture nucleus hvc priority journal robust nucleus singing songbird synapse vocal cord vocalization Action Potentials Animals Brain Mapping Nerve Net Prosencephalon Songbirds Vocalization, Animal |
| spellingShingle |
acoustics archistriatum article birdsong brain mapping computer model corpus striatum Hodgkin Huxley equation in vitro study in vivo study interneuron motor nerve nerve conduction neural architecture nucleus hvc priority journal robust nucleus singing songbird synapse vocal cord vocalization Action Potentials Animals Brain Mapping Nerve Net Prosencephalon Songbirds Vocalization, Animal Mapping neural architectures onto acoustic features of birdsong |
| topic_facet |
acoustics archistriatum article birdsong brain mapping computer model corpus striatum Hodgkin Huxley equation in vitro study in vivo study interneuron motor nerve nerve conduction neural architecture nucleus hvc priority journal robust nucleus singing songbird synapse vocal cord vocalization Action Potentials Animals Brain Mapping Nerve Net Prosencephalon Songbirds Vocalization, Animal |
| description |
The motor pathway responsible for the complex vocalizations of songbirds has been extensively characterized, both in terms of intrinsic and synaptic physiology in vitro and in terms of the spatiotemporal patterns of neural activity in vivo. However, the relationship between the neural architecture of the song motor pathway and the acoustic features of birdsong is not well understood. Using a computational model of the song motor pathway and the songbird vocal organ, we investigate the relationship between song production and the neural connectivity of nucleus HVc (used as a proper name) and the robust nucleus of the archistriatum (RA). Drawing on recent experimental observations, our neural model contains a population of sequentially bursting HVc neurons driving the activity of a population of RA neurons. An important focus of our investigations is the contribution of intrinsic circuitry within RA to the acoustic output of the model. We find that the inclusion of inhibitory interneurons in the model can substantially influence the features of song syllables, and we illustrate the potential for subharmonic behavior in RA in response to forcing by HVc neurons. Our results demonstrate the association of specific acoustic features with specific neural connectivities and support the view that intrinsic circuitry within RA may play a critical role in generating the features of birdsong. |
| title |
Mapping neural architectures onto acoustic features of birdsong |
| title_short |
Mapping neural architectures onto acoustic features of birdsong |
| title_full |
Mapping neural architectures onto acoustic features of birdsong |
| title_fullStr |
Mapping neural architectures onto acoustic features of birdsong |
| title_full_unstemmed |
Mapping neural architectures onto acoustic features of birdsong |
| title_sort |
mapping neural architectures onto acoustic features of birdsong |
| publishDate |
2004 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00223077_v92_n1_p96_Abarbanel http://hdl.handle.net/20.500.12110/paper_00223077_v92_n1_p96_Abarbanel |
| _version_ |
1768544898385969152 |