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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6927
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DC Field | Value | Language |
---|---|---|
dc.creator | Raibert, Marc H. | - |
dc.date | 2004-10-20T20:08:02Z | - |
dc.date | 2004-10-20T20:08:02Z | - |
dc.date | 1977-09-01 | - |
dc.date.accessioned | 2013-10-09T02:47:37Z | - |
dc.date.available | 2013-10-09T02:47:37Z | - |
dc.date.issued | 2013-10-09 | - |
dc.identifier | AITR-439 | - |
dc.identifier | http://hdl.handle.net/1721.1/6927 | - |
dc.identifier.uri | http://koha.mediu.edu.my:8181/xmlui/handle/1721 | - |
dc.description | A model is presented that deals with problems of motor control, motor learning, and sensorimotor integration. The equations of motion for a limb are parameterized and used in conjunction with a quantized, multi-dimensional memory organized by state variables. Descriptions of desired trajectories are translated into motor commands which will replicate the specified motions. The initial specification of a movement is free of information regarding the mechanics of the effector system. Learning occurs without the use of error correction when practice data are collected and analyzed. | - |
dc.format | 13850748 bytes | - |
dc.format | 10963405 bytes | - |
dc.format | application/postscript | - |
dc.format | application/pdf | - |
dc.language | en_US | - |
dc.relation | AITR-439 | - |
dc.title | Motor Control and Learning by the State Space Model | - |
Appears in Collections: | MIT Items |
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