Decentralized Competition Produces Nonlinear Dynamics Akin to Klinotaxis
One of the biggest challenges in unravelling the complexity of living systems, is to fully understand the neural logic that translates sensory input into the highly nonlinear motor outputs that are observed when simple organisms crawl. Recent work has shown that organisms such as larvae that exhibit...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/9803239 |
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| author | Pedro Manrique Mason Klein Yao Sheng Li Chen Xu Pak Ming Hui Neil Johnson |
| author_facet | Pedro Manrique Mason Klein Yao Sheng Li Chen Xu Pak Ming Hui Neil Johnson |
| author_sort | Pedro Manrique |
| collection | DOAJ |
| description | One of the biggest challenges in unravelling the complexity of living systems, is to fully understand the neural logic that translates sensory input into the highly nonlinear motor outputs that are observed when simple organisms crawl. Recent work has shown that organisms such as larvae that exhibit klinotaxis (i.e., orientation through lateral movements of portions of the body) can perform normal exploratory practices even in the absence of a brain. Abdominal and thoracic networks control the alternation between crawls and turns. This motivates the search for decentralized models of movement that can produce nonlinear outputs that resemble the experiments. Here, we present such a complex system model, in the form of a population of decentralized decision-making components (agents) whose aggregate activity resembles that observed in klinotaxis organisms. Despite the simplicity of each component, the complexity created by their collective feedback of information and actions akin to proportional navigation, drives the model organism towards a specific target. Our model organism’s nonlinear behaviors are consistent with empirically observed reorientation rate measures for Drosophila larvae as well as nematode C. elegans. |
| format | Article |
| id | doaj-art-9c84585a9a3a479fb211d8c2f77fd899 |
| institution | OA Journals |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-9c84585a9a3a479fb211d8c2f77fd8992025-08-20T02:18:28ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/98032399803239Decentralized Competition Produces Nonlinear Dynamics Akin to KlinotaxisPedro Manrique0Mason Klein1Yao Sheng Li2Chen Xu3Pak Ming Hui4Neil Johnson5Physics Department, University of Miami, Coral Gables FL 33126, USAPhysics Department, University of Miami, Coral Gables FL 33126, USACollege of Physics, Optoelectronics, and Energy, Soochow University, Suzhou 215006, ChinaCollege of Physics, Optoelectronics, and Energy, Soochow University, Suzhou 215006, ChinaDepartment of Physics, The Chinese University of Hong Kong, Shatin, Hong KongPhysics Department, University of Miami, Coral Gables FL 33126, USAOne of the biggest challenges in unravelling the complexity of living systems, is to fully understand the neural logic that translates sensory input into the highly nonlinear motor outputs that are observed when simple organisms crawl. Recent work has shown that organisms such as larvae that exhibit klinotaxis (i.e., orientation through lateral movements of portions of the body) can perform normal exploratory practices even in the absence of a brain. Abdominal and thoracic networks control the alternation between crawls and turns. This motivates the search for decentralized models of movement that can produce nonlinear outputs that resemble the experiments. Here, we present such a complex system model, in the form of a population of decentralized decision-making components (agents) whose aggregate activity resembles that observed in klinotaxis organisms. Despite the simplicity of each component, the complexity created by their collective feedback of information and actions akin to proportional navigation, drives the model organism towards a specific target. Our model organism’s nonlinear behaviors are consistent with empirically observed reorientation rate measures for Drosophila larvae as well as nematode C. elegans.http://dx.doi.org/10.1155/2018/9803239 |
| spellingShingle | Pedro Manrique Mason Klein Yao Sheng Li Chen Xu Pak Ming Hui Neil Johnson Decentralized Competition Produces Nonlinear Dynamics Akin to Klinotaxis Complexity |
| title | Decentralized Competition Produces Nonlinear Dynamics Akin to Klinotaxis |
| title_full | Decentralized Competition Produces Nonlinear Dynamics Akin to Klinotaxis |
| title_fullStr | Decentralized Competition Produces Nonlinear Dynamics Akin to Klinotaxis |
| title_full_unstemmed | Decentralized Competition Produces Nonlinear Dynamics Akin to Klinotaxis |
| title_short | Decentralized Competition Produces Nonlinear Dynamics Akin to Klinotaxis |
| title_sort | decentralized competition produces nonlinear dynamics akin to klinotaxis |
| url | http://dx.doi.org/10.1155/2018/9803239 |
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