CNS learns stable, accurate, and efficient movements using a simple algorithm
We propose a new model of motor learning to explain the exceptional dexterity and rapid adaptation to change, which characterize human motor control. It is based on the brain simultaneously optimizing stability, accuracy and efficiency. Formulated as a V-shaped learning function, it stipulates preci...
Uloženo v:
| Vydáno v: | The Journal of neuroscience Ročník 28; číslo 44; s. 11165 |
|---|---|
| Hlavní autoři: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
United States
29.10.2008
|
| Témata: | |
| ISSN: | 1529-2401, 1529-2401 |
| On-line přístup: | Zjistit podrobnosti o přístupu |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | We propose a new model of motor learning to explain the exceptional dexterity and rapid adaptation to change, which characterize human motor control. It is based on the brain simultaneously optimizing stability, accuracy and efficiency. Formulated as a V-shaped learning function, it stipulates precisely how feedforward commands to individual muscles are adjusted based on error. Changes in muscle activation patterns recorded in experiments provide direct support for this control scheme. In simulated motor learning of novel environmental interactions, muscle activation, force and impedance evolved in a manner similar to humans, demonstrating its efficiency and plausibility. This model of motor learning offers new insights as to how the brain controls the complex musculoskeletal system and iteratively adjusts motor commands to improve motor skills with practice. |
|---|---|
| AbstractList | We propose a new model of motor learning to explain the exceptional dexterity and rapid adaptation to change, which characterize human motor control. It is based on the brain simultaneously optimizing stability, accuracy and efficiency. Formulated as a V-shaped learning function, it stipulates precisely how feedforward commands to individual muscles are adjusted based on error. Changes in muscle activation patterns recorded in experiments provide direct support for this control scheme. In simulated motor learning of novel environmental interactions, muscle activation, force and impedance evolved in a manner similar to humans, demonstrating its efficiency and plausibility. This model of motor learning offers new insights as to how the brain controls the complex musculoskeletal system and iteratively adjusts motor commands to improve motor skills with practice.We propose a new model of motor learning to explain the exceptional dexterity and rapid adaptation to change, which characterize human motor control. It is based on the brain simultaneously optimizing stability, accuracy and efficiency. Formulated as a V-shaped learning function, it stipulates precisely how feedforward commands to individual muscles are adjusted based on error. Changes in muscle activation patterns recorded in experiments provide direct support for this control scheme. In simulated motor learning of novel environmental interactions, muscle activation, force and impedance evolved in a manner similar to humans, demonstrating its efficiency and plausibility. This model of motor learning offers new insights as to how the brain controls the complex musculoskeletal system and iteratively adjusts motor commands to improve motor skills with practice. We propose a new model of motor learning to explain the exceptional dexterity and rapid adaptation to change, which characterize human motor control. It is based on the brain simultaneously optimizing stability, accuracy and efficiency. Formulated as a V-shaped learning function, it stipulates precisely how feedforward commands to individual muscles are adjusted based on error. Changes in muscle activation patterns recorded in experiments provide direct support for this control scheme. In simulated motor learning of novel environmental interactions, muscle activation, force and impedance evolved in a manner similar to humans, demonstrating its efficiency and plausibility. This model of motor learning offers new insights as to how the brain controls the complex musculoskeletal system and iteratively adjusts motor commands to improve motor skills with practice. |
| Author | Tee, Keng Peng Franklin, David W Chew, Chee-Meng Kawato, Mitsuo Milner, Theodore E Osu, Rieko Burdet, Etienne |
| Author_xml | – sequence: 1 givenname: David W surname: Franklin fullname: Franklin, David W email: dwf25@cam.ac.uk organization: ATR Computational Neuroscience Laboratories, Keihanna Science City, Kyoto 619-0288, Japan. dwf25@cam.ac.uk – sequence: 2 givenname: Etienne surname: Burdet fullname: Burdet, Etienne – sequence: 3 givenname: Keng Peng surname: Tee fullname: Tee, Keng Peng – sequence: 4 givenname: Rieko surname: Osu fullname: Osu, Rieko – sequence: 5 givenname: Chee-Meng surname: Chew fullname: Chew, Chee-Meng – sequence: 6 givenname: Theodore E surname: Milner fullname: Milner, Theodore E – sequence: 7 givenname: Mitsuo surname: Kawato fullname: Kawato, Mitsuo |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/18971459$$D View this record in MEDLINE/PubMed |
| BookMark | eNpNkEtLw0AUhQep2If-hTIrVybOI5PJLCVUrdQWrF2HO5ObGsmjZhLBf2_FCq7OB-fjLM6UjJq2QULmnIVcCXn7tF7sXjbbdBlKZkzAklAwlpyRybE1gYgYH_3jMZl6_84Y04zrCzLmidE8UmZCntP1llYIXeOp78FWeEPBuaGD_oeanGJRlK7Epqd1-4n1ETwdfNnsKVBf1ocKKVT7tiv7t_qSnBdQebw65Yzs7hev6WOw2jws07tV4BTnfYCAoJxJdBznYIvEiByttjLS0ppcSc5lHmnuWAEGrHNSKsYjAMVE5HRixYxc_-4euvZjQN9ndekdVhU02A4-i40WsYrEUZyfxMHWmGeHrqyh-8r-DhDffoNg1g |
| CitedBy_id | crossref_primary_10_1152_jn_00021_2022 crossref_primary_10_1371_journal_pone_0129281 crossref_primary_10_1152_jn_01128_2011 crossref_primary_10_1152_jn_01058_2009 crossref_primary_10_3389_fnhum_2016_00419 crossref_primary_10_1109_TOH_2013_59 crossref_primary_10_1038_s41598_018_23792_7 crossref_primary_10_1038_s41598_022_18617_7 crossref_primary_10_1109_TRO_2019_2946721 crossref_primary_10_1007_s00422_014_0640_4 crossref_primary_10_1152_jn_00794_2011 crossref_primary_10_1038_s41467_022_28725_7 crossref_primary_10_1186_1743_0003_8_21 crossref_primary_10_1016_j_ifacol_2020_12_2189 crossref_primary_10_1152_jn_00763_2010 crossref_primary_10_1007_s10827_011_0350_z crossref_primary_10_1038_s41598_017_05697_z crossref_primary_10_1109_LRA_2020_2998715 crossref_primary_10_1371_journal_pcbi_1012037 crossref_primary_10_1152_jn_00420_2022 crossref_primary_10_14814_phy2_16039 crossref_primary_10_1523_JNEUROSCI_0770_19_2019 crossref_primary_10_1007_s10514_017_9677_2 crossref_primary_10_1152_jn_00520_2021 crossref_primary_10_1371_journal_pcbi_1003177 crossref_primary_10_1016_j_jbiomech_2013_01_020 crossref_primary_10_1152_jn_00216_2013 crossref_primary_10_1523_JNEUROSCI_0159_16_2016 crossref_primary_10_1016_j_neunet_2021_01_030 crossref_primary_10_1080_01691864_2021_1900913 crossref_primary_10_1109_TBME_2018_2890710 crossref_primary_10_1371_journal_pone_0206698 crossref_primary_10_1016_j_neunet_2021_06_029 crossref_primary_10_1016_j_cub_2011_10_021 crossref_primary_10_1088_1361_665X_adf7ec crossref_primary_10_1371_journal_pone_0096440 crossref_primary_10_1186_1743_0003_7_43 crossref_primary_10_1371_journal_pcbi_1013089 crossref_primary_10_1002_rcs_1881 crossref_primary_10_1007_s00221_018_5348_6 crossref_primary_10_1109_TNSRE_2013_2248749 crossref_primary_10_1038_s41562_020_01036_x crossref_primary_10_1371_journal_pcbi_1002590 crossref_primary_10_1038_s41598_019_57267_0 crossref_primary_10_3389_fpsyg_2022_901900 crossref_primary_10_1152_jn_00700_2017 crossref_primary_10_1371_journal_pone_0167314 crossref_primary_10_3389_fnhum_2021_742608 crossref_primary_10_1038_srep28455 crossref_primary_10_1371_journal_pcbi_1003869 crossref_primary_10_1371_journal_pone_0239471 crossref_primary_10_7554_eLife_88344_4 crossref_primary_10_1038_s41598_022_23051_w crossref_primary_10_1186_1743_0003_9_17 crossref_primary_10_1186_1743_0003_9_18 crossref_primary_10_1152_jn_00719_2012 crossref_primary_10_1152_jn_00014_2014 crossref_primary_10_1016_j_jneumeth_2010_07_013 crossref_primary_10_1152_jn_00735_2010 crossref_primary_10_1007_s00221_011_2786_9 crossref_primary_10_1152_jn_00319_2016 crossref_primary_10_1371_journal_pcbi_1008481 crossref_primary_10_1016_j_visres_2015_03_028 crossref_primary_10_1038_s41598_019_56430_x crossref_primary_10_1038_s41598_022_08291_0 crossref_primary_10_1016_j_robot_2012_09_024 crossref_primary_10_1523_JNEUROSCI_5909_11_2012 crossref_primary_10_2519_jospt_2019_8144 crossref_primary_10_1371_journal_pcbi_1007414 crossref_primary_10_1177_2055668319881583 crossref_primary_10_7554_eLife_65402 crossref_primary_10_1007_s00422_011_0451_9 crossref_primary_10_1152_jn_00748_2016 crossref_primary_10_1152_jn_90948_2008 crossref_primary_10_7554_eLife_88344 crossref_primary_10_1186_s12984_016_0148_3 crossref_primary_10_1371_journal_pcbi_1009047 crossref_primary_10_1186_s12984_018_0475_7 crossref_primary_10_1371_journal_pone_0024229 crossref_primary_10_1371_journal_pone_0205911 crossref_primary_10_3390_s18082539 crossref_primary_10_1016_j_cub_2010_04_035 crossref_primary_10_1016_j_neuron_2011_10_006 crossref_primary_10_1152_jn_00537_2016 crossref_primary_10_1016_j_conb_2011_05_014 crossref_primary_10_1007_s11229_022_03920_7 crossref_primary_10_1038_srep02648 crossref_primary_10_1109_TNSRE_2019_2895018 crossref_primary_10_1007_s00422_021_00904_7 crossref_primary_10_1177_0278364910387653 crossref_primary_10_1109_TNSRE_2013_2240014 crossref_primary_10_1016_j_jphysparis_2009_08_010 crossref_primary_10_3389_frobt_2017_00041 crossref_primary_10_1186_s12984_018_0408_5 crossref_primary_10_1109_TAMD_2012_2205924 crossref_primary_10_1371_journal_pcbi_1012598 crossref_primary_10_1109_TRO_2011_2158251 crossref_primary_10_1007_s00221_011_2747_3 crossref_primary_10_1109_LRA_2019_2959442 crossref_primary_10_1152_jn_00443_2017 crossref_primary_10_1007_s00221_009_2014_z crossref_primary_10_1016_j_humov_2023_103148 crossref_primary_10_1038_srep32868 crossref_primary_10_1038_s41598_020_79433_5 crossref_primary_10_1146_annurev_control_060117_105206 crossref_primary_10_1016_j_neuroscience_2011_09_020 crossref_primary_10_1371_journal_pcbi_1013042 crossref_primary_10_1371_journal_pone_0066013 crossref_primary_10_1007_s10827_017_0650_z crossref_primary_10_1177_0278364913517728 crossref_primary_10_1007_s00371_014_0939_0 crossref_primary_10_1007_s12555_012_9405_9 crossref_primary_10_1152_jn_01123_2011 crossref_primary_10_3389_fncom_2014_00119 crossref_primary_10_1152_jn_00061_2014 crossref_primary_10_1152_jn_00773_2012 crossref_primary_10_1371_journal_pone_0131268 crossref_primary_10_1371_journal_pcbi_1008373 crossref_primary_10_1186_s12984_017_0319_x crossref_primary_10_1016_j_cub_2013_04_079 crossref_primary_10_1152_jn_00787_2011 crossref_primary_10_1007_s12311_012_0370_x crossref_primary_10_1152_jn_00614_2016 crossref_primary_10_1016_j_conb_2023_102810 crossref_primary_10_1007_s00422_009_0348_z crossref_primary_10_1016_j_neuron_2009_10_001 crossref_primary_10_1152_jn_00636_2016 crossref_primary_10_1016_j_cub_2014_03_049 crossref_primary_10_1115_1_4041331 crossref_primary_10_1111_ejn_16148 crossref_primary_10_1007_s00422_022_00922_z crossref_primary_10_1152_jn_00470_2014 crossref_primary_10_1371_journal_pone_0217129 crossref_primary_10_3389_fnins_2020_00459 crossref_primary_10_1152_jn_00114_2010 crossref_primary_10_1152_jn_00983_2010 crossref_primary_10_1523_JNEUROSCI_4003_11_2012 crossref_primary_10_1111_ejn_15056 crossref_primary_10_1016_j_rcim_2023_102669 crossref_primary_10_1109_TNSRE_2011_2125990 crossref_primary_10_1109_TOH_2023_3274584 crossref_primary_10_1038_s41598_018_34737_5 crossref_primary_10_1080_10447318_2014_888500 crossref_primary_10_1109_TRO_2018_2830405 crossref_primary_10_1109_TNSRE_2012_2195554 crossref_primary_10_3389_fnbot_2022_836772 crossref_primary_10_1007_s00422_014_0613_7 crossref_primary_10_1152_jn_00119_2019 crossref_primary_10_1109_LRA_2023_3296349 crossref_primary_10_1177_1059712313481044 crossref_primary_10_1186_s12984_015_0090_9 crossref_primary_10_7554_eLife_84349 crossref_primary_10_1108_IR_02_2016_0073 crossref_primary_10_1109_TIE_2013_2273473 crossref_primary_10_1523_JNEUROSCI_0263_13_2013 crossref_primary_10_1109_TCST_2016_2615083 crossref_primary_10_1109_MRA_2022_3188218 crossref_primary_10_1109_TMECH_2020_3047919 crossref_primary_10_1038_s42256_018_0010_3 crossref_primary_10_1152_jn_01072_2012 crossref_primary_10_1038_nrn3112 crossref_primary_10_3389_frobt_2018_00124 crossref_primary_10_3390_s23115017 crossref_primary_10_1007_s00221_011_2928_0 crossref_primary_10_3390_app11052037 crossref_primary_10_1007_s00422_011_0450_x crossref_primary_10_1016_j_conb_2017_07_010 crossref_primary_10_1371_journal_pone_0049945 crossref_primary_10_1523_JNEUROSCI_2826_09_2009 crossref_primary_10_1371_journal_pone_0295274 crossref_primary_10_1016_j_jfranklin_2021_03_017 crossref_primary_10_1371_journal_pbio_1002186 crossref_primary_10_1016_j_ifacol_2019_01_052 crossref_primary_10_1016_j_neuroscience_2009_08_024 crossref_primary_10_1038_ncomms12176 crossref_primary_10_1152_jn_00315_2010 crossref_primary_10_1109_TCST_2020_2971944 crossref_primary_10_1016_j_neures_2009_05_012 crossref_primary_10_1152_jn_00079_2011 |
| ContentType | Journal Article |
| DBID | CGR CUY CVF ECM EIF NPM 7X8 |
| DOI | 10.1523/JNEUROSCI.3099-08.2008 |
| DatabaseName | Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic |
| DatabaseTitle | MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic MEDLINE |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | no_fulltext_linktorsrc |
| Discipline | Anatomy & Physiology |
| EISSN | 1529-2401 |
| ExternalDocumentID | 18971459 |
| Genre | Research Support, Non-U.S. Gov't Journal Article Comparative Study |
| GroupedDBID | --- -DZ -~X .55 18M 2WC 34G 39C 3O- 53G 5GY 5RE 5VS AAFWJ AAJMC ABBAR ABIVO ACGUR ACNCT ADBBV ADCOW ADHGD AENEX AETEA AFCFT AFFNX AFOSN AFSQR AHWXS ALMA_UNASSIGNED_HOLDINGS AOIJS BAWUL BTFSW CGR CS3 CUY CVF DIK DU5 E3Z EBS ECM EIF EJD F5P GX1 H13 HYE H~9 KQ8 L7B MVM NPM OK1 P0W P2P QZG R.V RHI RPM TFN TR2 W8F WH7 WOQ X7M XJT YBU YHG YKV YNH YSK 7X8 ADXHL |
| ID | FETCH-LOGICAL-c511t-eaea5c98766dabf892deb7b3473b9d53113d471c0fa9abcc335014aa5024c78b2 |
| IEDL.DBID | 7X8 |
| ISICitedReferencesCount | 241 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000260502400008&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1529-2401 |
| IngestDate | Thu Sep 04 18:56:59 EDT 2025 Thu Apr 03 07:00:01 EDT 2025 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 44 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c511t-eaea5c98766dabf892deb7b3473b9d53113d471c0fa9abcc335014aa5024c78b2 |
| Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
| OpenAccessLink | https://www.jneurosci.org/content/jneuro/28/44/11165.full.pdf |
| PMID | 18971459 |
| PQID | 69726542 |
| PQPubID | 23479 |
| ParticipantIDs | proquest_miscellaneous_69726542 pubmed_primary_18971459 |
| PublicationCentury | 2000 |
| PublicationDate | 2008-Oct-29 20081029 |
| PublicationDateYYYYMMDD | 2008-10-29 |
| PublicationDate_xml | – month: 10 year: 2008 text: 2008-Oct-29 day: 29 |
| PublicationDecade | 2000 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States |
| PublicationTitle | The Journal of neuroscience |
| PublicationTitleAlternate | J Neurosci |
| PublicationYear | 2008 |
| SSID | ssj0007017 |
| Score | 2.4367983 |
| Snippet | We propose a new model of motor learning to explain the exceptional dexterity and rapid adaptation to change, which characterize human motor control. It is... |
| SourceID | proquest pubmed |
| SourceType | Aggregation Database Index Database |
| StartPage | 11165 |
| SubjectTerms | Adaptation, Physiological - physiology Adult Algorithms Central Nervous System - physiology Female Humans Learning - physiology Male Movement - physiology Postural Balance - physiology Psychomotor Performance - physiology |
| Title | CNS learns stable, accurate, and efficient movements using a simple algorithm |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/18971459 https://www.proquest.com/docview/69726542 |
| Volume | 28 |
| WOSCitedRecordID | wos000260502400008&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3NS8MwFA_TefDi1_yYnzmIJ6tt0jYNCDKGQ4WVwRR2G0mazsHWTtsJ_ve-ZC2exIOXkkshJO_l_V7ey--H0KUSUoUyjBzfh0zHZ0I4nMKGCCkFwA1uKmtWbILFcTQa8UED3dVvYUxbZX0m2oM6yZW5I78NOSNGXOl-8e4YzShTW60ENNZQkwKQMW7JRj9c4cy1ersQoGwNwaveB0Pmdfscmz65YffphhqGSjeyTZW_g0wbbHrb_5vmDtqqQCburKxiFzV0todanQwS7PkXvsK27dPep7dQvxsPsdWOKDAgRTnT11gotTQUEjDKEqwtywQEJzzPLbt4WWDTLj_BAhdTwy6MxWwC0yjf5vvotffw0n10Ko0FRwHUKh0ttAgUhzMxTIRMI04SLZmkPqOSJ-CgHk0gfik3FRy2VVFbiBQigNiuWCTJAVrP8kwfIUx9GaYuTUkgAYQxKVxPpTLhVBPihjJpo4t6ycZgw6YwITKdL4txvWhtdLha9fFiRbUx9iLOPD_gx3_-e4I2SUVVS_gpaqbgvfoMbajPclp8nFvTgG886H8D6GbDHA |
| linkProvider | ProQuest |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=CNS+learns+stable%2C+accurate%2C+and+efficient+movements+using+a+simple+algorithm&rft.jtitle=The+Journal+of+neuroscience&rft.au=Franklin%2C+David+W&rft.au=Burdet%2C+Etienne&rft.au=Tee%2C+Keng+Peng&rft.au=Osu%2C+Rieko&rft.date=2008-10-29&rft.issn=1529-2401&rft.eissn=1529-2401&rft.volume=28&rft.issue=44&rft.spage=11165&rft_id=info:doi/10.1523%2FJNEUROSCI.3099-08.2008&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1529-2401&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1529-2401&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1529-2401&client=summon |