Neural Oscillators Programming Simplified
The neurological mechanism used for generating rhythmic patterns for functions such as swallowing, walking, and chewing has been modeled computationally by the neural oscillator. It has been widely studied by biologists to model various aspects of organisms and by computer scientists and robotics e...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2012/963917 |
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| _version_ | 1832566145918435328 |
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| author | Patrick McDowell Theresa Beaubouef |
| author_facet | Patrick McDowell Theresa Beaubouef |
| author_sort | Patrick McDowell |
| collection | DOAJ |
| description | The neurological mechanism used for generating rhythmic patterns for functions such as swallowing, walking, and chewing has been modeled computationally by the neural oscillator. It has been widely studied by biologists to model various aspects of organisms and by computer scientists and robotics engineers as a method for controlling and coordinating the gaits of walking robots. Although there has been significant study in this area, it is difficult to find basic guidelines for programming neural oscillators. In this paper, the authors approach neural oscillators from a programmer’s point of view, providing background and examples for developing neural oscillators to generate rhythmic patterns that can be used in biological modeling and robotics applications. |
| format | Article |
| id | doaj-art-8dc88b0a559e47358635316df4d9a702 |
| institution | Kabale University |
| issn | 1687-9724 1687-9732 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-8dc88b0a559e47358635316df4d9a7022025-02-03T01:04:57ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322012-01-01201210.1155/2012/963917963917Neural Oscillators Programming SimplifiedPatrick McDowell0Theresa Beaubouef1Department of Computer Science and Industrial Technology, Southeastern Louisiana University, Hammond, LA 70402, USADepartment of Computer Science and Industrial Technology, Southeastern Louisiana University, Hammond, LA 70402, USAThe neurological mechanism used for generating rhythmic patterns for functions such as swallowing, walking, and chewing has been modeled computationally by the neural oscillator. It has been widely studied by biologists to model various aspects of organisms and by computer scientists and robotics engineers as a method for controlling and coordinating the gaits of walking robots. Although there has been significant study in this area, it is difficult to find basic guidelines for programming neural oscillators. In this paper, the authors approach neural oscillators from a programmer’s point of view, providing background and examples for developing neural oscillators to generate rhythmic patterns that can be used in biological modeling and robotics applications.http://dx.doi.org/10.1155/2012/963917 |
| spellingShingle | Patrick McDowell Theresa Beaubouef Neural Oscillators Programming Simplified Applied Computational Intelligence and Soft Computing |
| title | Neural Oscillators Programming Simplified |
| title_full | Neural Oscillators Programming Simplified |
| title_fullStr | Neural Oscillators Programming Simplified |
| title_full_unstemmed | Neural Oscillators Programming Simplified |
| title_short | Neural Oscillators Programming Simplified |
| title_sort | neural oscillators programming simplified |
| url | http://dx.doi.org/10.1155/2012/963917 |
| work_keys_str_mv | AT patrickmcdowell neuraloscillatorsprogrammingsimplified AT theresabeaubouef neuraloscillatorsprogrammingsimplified |