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Behavior control in the sensorimotor loop with short-term synaptic dynamics induced by self-regulating neurons
The behavior and skills of living systems depend on the distributed control provided by specialized and highly recurrent neural networks. Learning and memory in these systems is mediated by a set of adaptation mechanisms, known collectively as neuronal plasticity. Translating principles of recurrent...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4033235/ https://www.ncbi.nlm.nih.gov/pubmed/24904403 http://dx.doi.org/10.3389/fnbot.2014.00019 |
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author | Toutounji, Hazem Pasemann, Frank |
author_facet | Toutounji, Hazem Pasemann, Frank |
author_sort | Toutounji, Hazem |
collection | PubMed |
description | The behavior and skills of living systems depend on the distributed control provided by specialized and highly recurrent neural networks. Learning and memory in these systems is mediated by a set of adaptation mechanisms, known collectively as neuronal plasticity. Translating principles of recurrent neural control and plasticity to artificial agents has seen major strides, but is usually hampered by the complex interactions between the agent's body and its environment. One of the important standing issues is for the agent to support multiple stable states of behavior, so that its behavioral repertoire matches the requirements imposed by these interactions. The agent also must have the capacity to switch between these states in time scales that are comparable to those by which sensory stimulation varies. Achieving this requires a mechanism of short-term memory that allows the neurocontroller to keep track of the recent history of its input, which finds its biological counterpart in short-term synaptic plasticity. This issue is approached here by deriving synaptic dynamics in recurrent neural networks. Neurons are introduced as self-regulating units with a rich repertoire of dynamics. They exhibit homeostatic properties for certain parameter domains, which result in a set of stable states and the required short-term memory. They can also operate as oscillators, which allow them to surpass the level of activity imposed by their homeostatic operation conditions. Neural systems endowed with the derived synaptic dynamics can be utilized for the neural behavior control of autonomous mobile agents. The resulting behavior depends also on the underlying network structure, which is either engineered or developed by evolutionary techniques. The effectiveness of these self-regulating units is demonstrated by controlling locomotion of a hexapod with 18 degrees of freedom, and obstacle-avoidance of a wheel-driven robot. |
format | Online Article Text |
id | pubmed-4033235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-40332352014-06-05 Behavior control in the sensorimotor loop with short-term synaptic dynamics induced by self-regulating neurons Toutounji, Hazem Pasemann, Frank Front Neurorobot Neuroscience The behavior and skills of living systems depend on the distributed control provided by specialized and highly recurrent neural networks. Learning and memory in these systems is mediated by a set of adaptation mechanisms, known collectively as neuronal plasticity. Translating principles of recurrent neural control and plasticity to artificial agents has seen major strides, but is usually hampered by the complex interactions between the agent's body and its environment. One of the important standing issues is for the agent to support multiple stable states of behavior, so that its behavioral repertoire matches the requirements imposed by these interactions. The agent also must have the capacity to switch between these states in time scales that are comparable to those by which sensory stimulation varies. Achieving this requires a mechanism of short-term memory that allows the neurocontroller to keep track of the recent history of its input, which finds its biological counterpart in short-term synaptic plasticity. This issue is approached here by deriving synaptic dynamics in recurrent neural networks. Neurons are introduced as self-regulating units with a rich repertoire of dynamics. They exhibit homeostatic properties for certain parameter domains, which result in a set of stable states and the required short-term memory. They can also operate as oscillators, which allow them to surpass the level of activity imposed by their homeostatic operation conditions. Neural systems endowed with the derived synaptic dynamics can be utilized for the neural behavior control of autonomous mobile agents. The resulting behavior depends also on the underlying network structure, which is either engineered or developed by evolutionary techniques. The effectiveness of these self-regulating units is demonstrated by controlling locomotion of a hexapod with 18 degrees of freedom, and obstacle-avoidance of a wheel-driven robot. Frontiers Media S.A. 2014-05-23 /pmc/articles/PMC4033235/ /pubmed/24904403 http://dx.doi.org/10.3389/fnbot.2014.00019 Text en Copyright © 2014 Toutounji and Pasemann. http://creativecommons.org/licenses/by/3.0/ 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) or licensor 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 Toutounji, Hazem Pasemann, Frank Behavior control in the sensorimotor loop with short-term synaptic dynamics induced by self-regulating neurons |
title | Behavior control in the sensorimotor loop with short-term synaptic dynamics induced by self-regulating neurons |
title_full | Behavior control in the sensorimotor loop with short-term synaptic dynamics induced by self-regulating neurons |
title_fullStr | Behavior control in the sensorimotor loop with short-term synaptic dynamics induced by self-regulating neurons |
title_full_unstemmed | Behavior control in the sensorimotor loop with short-term synaptic dynamics induced by self-regulating neurons |
title_short | Behavior control in the sensorimotor loop with short-term synaptic dynamics induced by self-regulating neurons |
title_sort | behavior control in the sensorimotor loop with short-term synaptic dynamics induced by self-regulating neurons |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4033235/ https://www.ncbi.nlm.nih.gov/pubmed/24904403 http://dx.doi.org/10.3389/fnbot.2014.00019 |
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