A Quadrupedal Locomotion Central Pattern Generator Based on Oscillatory Building Block Networks
This work presents the mimicking of the main rhythmic gait patterns of a quadrupedal animal as an illustration of a novel approach to the prediction and generation of coupled neural oscillation. Based on Scheduling by Multiple Edge Reversal (SMER), a simple though powerful distributed algorithm, it...
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| creator | Zhijun Yang Qingbao Zhu |
| description | This work presents the mimicking of the main rhythmic gait patterns of a quadrupedal animal as an illustration of a novel approach to the prediction and generation of coupled neural oscillation. Based on Scheduling by Multiple Edge Reversal (SMER), a simple though powerful distributed algorithm, it is shown how oscillatory building blocks (OBBs) can be created for the generation of complex rhythmic patterns and implemented as asymmetric Hopfield neural networks. The network is able to reproduce the different firing rates observed among pairs of biological motor neurons working during different gait patterns. |
| doi_str_mv | 10.1109/ICICIS.2011.25 |
| format | Conference Proceeding |
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Based on Scheduling by Multiple Edge Reversal (SMER), a simple though powerful distributed algorithm, it is shown how oscillatory building blocks (OBBs) can be created for the generation of complex rhythmic patterns and implemented as asymmetric Hopfield neural networks. 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The network is able to reproduce the different firing rates observed among pairs of biological motor neurons working during different gait patterns.</description><subject>Animals</subject><subject>Biological neural networks</subject><subject>Biological rhythm</subject><subject>Central pattern generator</subject><subject>Heuristic algorithms</subject><subject>Hopfield neural network</subject><subject>Joints</subject><subject>Neurons</subject><subject>Oscillatory building blocks</subject><subject>Radio frequency</subject><subject>Turning</subject><isbn>1457715619</isbn><isbn>9781457715617</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjlFLwzAUhQMy0M29-uJL_kBn0jZJ87gW3QbFKe693KZXieuakabI_r0Zes7Dge9cLoeQB85WnDP9tKuiP1Yp43yVihsy57lQigvJ9YzMr1hnQgp2S5bj-M2ipNRFru5Is6bvE3R-OmMHPa2dcScXrBtohUPwEb1BCOgHusEBPQTnaQkjdjSe7Edj-_7KLrScbN_Z4YuWvTNH-orhx_njeE9mn9CPuPzPBTm8PB-qbVLvN7tqXSdWs5AIA7wQcVWbCV6AEZgqBqrNVapV3FmIri0yxCI2iistjBIATEnWmhwYZAvy-PfWImJz9vYE_tJIJjOuZfYLJaVT1Q</recordid><startdate>201109</startdate><enddate>201109</enddate><creator>Zhijun Yang</creator><creator>Qingbao Zhu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201109</creationdate><title>A Quadrupedal Locomotion Central Pattern Generator Based on Oscillatory Building Block Networks</title><author>Zhijun Yang ; Qingbao Zhu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-5ca185006b3518ac5e270a7b4729784785db83ee8c5e71795c75aa0760bc4a0a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Animals</topic><topic>Biological neural networks</topic><topic>Biological rhythm</topic><topic>Central pattern generator</topic><topic>Heuristic algorithms</topic><topic>Hopfield neural network</topic><topic>Joints</topic><topic>Neurons</topic><topic>Oscillatory building blocks</topic><topic>Radio frequency</topic><topic>Turning</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhijun Yang</creatorcontrib><creatorcontrib>Qingbao Zhu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhijun Yang</au><au>Qingbao Zhu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Quadrupedal Locomotion Central Pattern Generator Based on Oscillatory Building Block Networks</atitle><btitle>2011 International Conference on Internet Computing and Information Services</btitle><stitle>ICICIS</stitle><date>2011-09</date><risdate>2011</risdate><spage>74</spage><epage>77</epage><pages>74-77</pages><isbn>1457715619</isbn><isbn>9781457715617</isbn><abstract>This work presents the mimicking of the main rhythmic gait patterns of a quadrupedal animal as an illustration of a novel approach to the prediction and generation of coupled neural oscillation. Based on Scheduling by Multiple Edge Reversal (SMER), a simple though powerful distributed algorithm, it is shown how oscillatory building blocks (OBBs) can be created for the generation of complex rhythmic patterns and implemented as asymmetric Hopfield neural networks. The network is able to reproduce the different firing rates observed among pairs of biological motor neurons working during different gait patterns.</abstract><pub>IEEE</pub><doi>10.1109/ICICIS.2011.25</doi><tpages>4</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Animals Biological neural networks Biological rhythm Central pattern generator Heuristic algorithms Hopfield neural network Joints Neurons Oscillatory building blocks Radio frequency Turning |
| title | A Quadrupedal Locomotion Central Pattern Generator Based on Oscillatory Building Block Networks |
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