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Emergent dynamics in a robotic model based on the Caenorhabditis elegans connectome

We analyze the neural dynamics and their relation with the emergent actions of a robotic vehicle that is controlled by a neural network numerical simulation based on the nervous system of the nematode Caenorhabditis elegans. The robot interacts with the environment through a sensor that transmits th...

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Detalles Bibliográficos
Autores principales: Valencia Urbina, Carlos E., Cannas, Sergio A., Gleiser, Pablo M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868850/
https://www.ncbi.nlm.nih.gov/pubmed/36699947
http://dx.doi.org/10.3389/fnbot.2022.1041410
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author Valencia Urbina, Carlos E.
Cannas, Sergio A.
Gleiser, Pablo M.
author_facet Valencia Urbina, Carlos E.
Cannas, Sergio A.
Gleiser, Pablo M.
author_sort Valencia Urbina, Carlos E.
collection PubMed
description We analyze the neural dynamics and their relation with the emergent actions of a robotic vehicle that is controlled by a neural network numerical simulation based on the nervous system of the nematode Caenorhabditis elegans. The robot interacts with the environment through a sensor that transmits the information to sensory neurons, while motor neurons outputs are connected to wheels. This is enough to allow emergent robot actions in complex environments, such as avoiding collisions with obstacles. Working with robotic models makes it possible to simultaneously keep track of the dynamics of all the neurons and also register the actions of the robot in the environment in real time, while avoiding the complex technicalities of simulating a real environment. This allowed us to identify several relevant features of the neural dynamics associated with the emergent actions of the robot, some of which have already been observed in biological worms. These results suggest that some basic aspects of behaviors observed in living beings are determined by the underlying structure of the associated neural network.
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spelling pubmed-98688502023-01-24 Emergent dynamics in a robotic model based on the Caenorhabditis elegans connectome Valencia Urbina, Carlos E. Cannas, Sergio A. Gleiser, Pablo M. Front Neurorobot Neuroscience We analyze the neural dynamics and their relation with the emergent actions of a robotic vehicle that is controlled by a neural network numerical simulation based on the nervous system of the nematode Caenorhabditis elegans. The robot interacts with the environment through a sensor that transmits the information to sensory neurons, while motor neurons outputs are connected to wheels. This is enough to allow emergent robot actions in complex environments, such as avoiding collisions with obstacles. Working with robotic models makes it possible to simultaneously keep track of the dynamics of all the neurons and also register the actions of the robot in the environment in real time, while avoiding the complex technicalities of simulating a real environment. This allowed us to identify several relevant features of the neural dynamics associated with the emergent actions of the robot, some of which have already been observed in biological worms. These results suggest that some basic aspects of behaviors observed in living beings are determined by the underlying structure of the associated neural network. Frontiers Media S.A. 2023-01-09 /pmc/articles/PMC9868850/ /pubmed/36699947 http://dx.doi.org/10.3389/fnbot.2022.1041410 Text en Copyright © 2023 Valencia Urbina, Cannas and Gleiser. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Valencia Urbina, Carlos E.
Cannas, Sergio A.
Gleiser, Pablo M.
Emergent dynamics in a robotic model based on the Caenorhabditis elegans connectome
title Emergent dynamics in a robotic model based on the Caenorhabditis elegans connectome
title_full Emergent dynamics in a robotic model based on the Caenorhabditis elegans connectome
title_fullStr Emergent dynamics in a robotic model based on the Caenorhabditis elegans connectome
title_full_unstemmed Emergent dynamics in a robotic model based on the Caenorhabditis elegans connectome
title_short Emergent dynamics in a robotic model based on the Caenorhabditis elegans connectome
title_sort emergent dynamics in a robotic model based on the caenorhabditis elegans connectome
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868850/
https://www.ncbi.nlm.nih.gov/pubmed/36699947
http://dx.doi.org/10.3389/fnbot.2022.1041410
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