Transformation of context-dependent sensory dynamics into motor behavior
Latorre R, Levi R, Varona P (2013) Transformation of Context-dependent Sensory Dynamics into Motor Behavior. PLoS Comput Biol 9(2): e1002908. doi:10.1371/journal.pcbi.1002908 The intrinsic dynamics of sensory networks play an important role in the sensory-motor transformation. In this paper we use c...
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ftuamadrid:oai:repositorio.uam.es:10486/662635 2023-05-15T15:55:41+02:00 Transformation of context-dependent sensory dynamics into motor behavior Latorre, Roberto Levi, Rafael Varona, Pablo UAM. Departamento de Ingeniería Informática Neurocomputación Biológica (ING EPS-005) 2014-11-20T17:55:20Z application/pdf http://hdl.handle.net/10486/662635 https://doi.org/10.1371/journal.pcbi.1002908 eng eng Public Library of Science PLoS Computational Biology http://dx.doi.org/10.1371/journal.pcbi.1002908 PLoS Computational Biology 9.2 (2013): e1002908 1553-734X (print) 1553-7358 (online) http://hdl.handle.net/10486/662635 doi:10.1371/journal.pcbi.1002908 e1002908 2 9 © 2013 Latorre et al. Reconocimiento openAccess Ganglia Hunting behavior Interneurons Network analysis Neural networks Neurons Simulation and modeling Swimming Informática article info:eu-repo/semantics/publishedVersion 2014 ftuamadrid https://doi.org/10.1371/journal.pcbi.1002908 2022-05-10T23:15:21Z Latorre R, Levi R, Varona P (2013) Transformation of Context-dependent Sensory Dynamics into Motor Behavior. PLoS Comput Biol 9(2): e1002908. doi:10.1371/journal.pcbi.1002908 The intrinsic dynamics of sensory networks play an important role in the sensory-motor transformation. In this paper we use conductance based models and electrophysiological recordings to address the study of the dual role of a sensory network to organize two behavioral context-dependent motor programs in the mollusk Clione limacina. We show that: (i) a winner take-all dynamics in the gravimetric sensory network model drives the typical repetitive rhythm in the wing central pattern generator (CPG) during routine swimming; (ii) the winnerless competition dynamics of the same sensory network organizes the irregular pattern observed in the wing CPG during hunting behavior. Our model also shows that although the timing of the activity is irregular, the sequence of the switching among the sensory cells is preserved whenever the same set of neurons are activated in a given time window. These activation phase locks in the sensory signals are transformed into specific events in the motor activity. The activation phase locks can play an important role in motor coordination driven by the intrinsic dynamics of a multifunctional sensory organ This work was supported by MINECO TIN2012-30883 and IPT-2011-0727-020000. Article in Journal/Newspaper Clione limacina Universidad Autónoma de Madrid (UAM): Biblos-e Archivo PLoS Computational Biology 9 2 e1002908 |
institution |
Open Polar |
collection |
Universidad Autónoma de Madrid (UAM): Biblos-e Archivo |
op_collection_id |
ftuamadrid |
language |
English |
topic |
Ganglia Hunting behavior Interneurons Network analysis Neural networks Neurons Simulation and modeling Swimming Informática |
spellingShingle |
Ganglia Hunting behavior Interneurons Network analysis Neural networks Neurons Simulation and modeling Swimming Informática Latorre, Roberto Levi, Rafael Varona, Pablo Transformation of context-dependent sensory dynamics into motor behavior |
topic_facet |
Ganglia Hunting behavior Interneurons Network analysis Neural networks Neurons Simulation and modeling Swimming Informática |
description |
Latorre R, Levi R, Varona P (2013) Transformation of Context-dependent Sensory Dynamics into Motor Behavior. PLoS Comput Biol 9(2): e1002908. doi:10.1371/journal.pcbi.1002908 The intrinsic dynamics of sensory networks play an important role in the sensory-motor transformation. In this paper we use conductance based models and electrophysiological recordings to address the study of the dual role of a sensory network to organize two behavioral context-dependent motor programs in the mollusk Clione limacina. We show that: (i) a winner take-all dynamics in the gravimetric sensory network model drives the typical repetitive rhythm in the wing central pattern generator (CPG) during routine swimming; (ii) the winnerless competition dynamics of the same sensory network organizes the irregular pattern observed in the wing CPG during hunting behavior. Our model also shows that although the timing of the activity is irregular, the sequence of the switching among the sensory cells is preserved whenever the same set of neurons are activated in a given time window. These activation phase locks in the sensory signals are transformed into specific events in the motor activity. The activation phase locks can play an important role in motor coordination driven by the intrinsic dynamics of a multifunctional sensory organ This work was supported by MINECO TIN2012-30883 and IPT-2011-0727-020000. |
author2 |
UAM. Departamento de Ingeniería Informática Neurocomputación Biológica (ING EPS-005) |
format |
Article in Journal/Newspaper |
author |
Latorre, Roberto Levi, Rafael Varona, Pablo |
author_facet |
Latorre, Roberto Levi, Rafael Varona, Pablo |
author_sort |
Latorre, Roberto |
title |
Transformation of context-dependent sensory dynamics into motor behavior |
title_short |
Transformation of context-dependent sensory dynamics into motor behavior |
title_full |
Transformation of context-dependent sensory dynamics into motor behavior |
title_fullStr |
Transformation of context-dependent sensory dynamics into motor behavior |
title_full_unstemmed |
Transformation of context-dependent sensory dynamics into motor behavior |
title_sort |
transformation of context-dependent sensory dynamics into motor behavior |
publisher |
Public Library of Science |
publishDate |
2014 |
url |
http://hdl.handle.net/10486/662635 https://doi.org/10.1371/journal.pcbi.1002908 |
genre |
Clione limacina |
genre_facet |
Clione limacina |
op_relation |
PLoS Computational Biology http://dx.doi.org/10.1371/journal.pcbi.1002908 PLoS Computational Biology 9.2 (2013): e1002908 1553-734X (print) 1553-7358 (online) http://hdl.handle.net/10486/662635 doi:10.1371/journal.pcbi.1002908 e1002908 2 9 |
op_rights |
© 2013 Latorre et al. Reconocimiento openAccess |
op_doi |
https://doi.org/10.1371/journal.pcbi.1002908 |
container_title |
PLoS Computational Biology |
container_volume |
9 |
container_issue |
2 |
container_start_page |
e1002908 |
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1766391178332209152 |