Deciding when and how to correct a movement : discrete submovements as a decision making process
Rapid reaching movements of human and non-human primates are often characterized by irregular multi-peaked velocity profiles. How to interpret these irregularities is still under debate. While some reports assert that these irregularities are the result of a continuous controller interacting with th...
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description | Rapid reaching movements of human and non-human primates are often characterized by irregular multi-peaked velocity profiles. How to interpret these irregularities is still under debate. While some reports assert that these irregularities are the result of a continuous controller interacting with the environment, we and others hold that the velocity irregularities are evidence for a controller that produces discrete movement corrections. Here we analyze rapid pronation/supination wrist movements in monkey during a 1D step-tracking task, where visual perturbations of the target were randomly introduced at movement onset. We use our recently introduced algorithm (Fishbach et al. in Exp Brain Res 164:442-457, 2005) to decompose an irregular movement into a primary movement and one or more discrete, corrective submovements. We first show that the visual perturbation has almost no effect on primary movements. In contrast, this perturbation influences the type and the extent of the corrective submovements that often follow primary movements. Secondly, we show that the highly variable timing of overlapping submovements does not depend directly on the visual perturbation but rather on an estimate of the movement error and on the movement's extent-to-go at the time of correction initiation. These results are consistent with a forward-model based intermittent controller with a non-linearity that depends both on a prediction of the magnitude and direction of the movement's error and on its variance. Corrections are initiated only when the predicted error is statistically significant. A simple abstract model that implements these principles accounts for the type and timing of the corrections observed in our data. |
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How to interpret these irregularities is still under debate. While some reports assert that these irregularities are the result of a continuous controller interacting with the environment, we and others hold that the velocity irregularities are evidence for a controller that produces discrete movement corrections. Here we analyze rapid pronation/supination wrist movements in monkey during a 1D step-tracking task, where visual perturbations of the target were randomly introduced at movement onset. We use our recently introduced algorithm (Fishbach et al. in Exp Brain Res 164:442-457, 2005) to decompose an irregular movement into a primary movement and one or more discrete, corrective submovements. We first show that the visual perturbation has almost no effect on primary movements. In contrast, this perturbation influences the type and the extent of the corrective submovements that often follow primary movements. Secondly, we show that the highly variable timing of overlapping submovements does not depend directly on the visual perturbation but rather on an estimate of the movement error and on the movement's extent-to-go at the time of correction initiation. These results are consistent with a forward-model based intermittent controller with a non-linearity that depends both on a prediction of the magnitude and direction of the movement's error and on its variance. Corrections are initiated only when the predicted error is statistically significant. A simple abstract model that implements these principles accounts for the type and timing of the corrections observed in our data.</description><identifier>ISSN: 0014-4819</identifier><identifier>EISSN: 1432-1106</identifier><identifier>DOI: 10.1007/s00221-006-0652-y</identifier><identifier>PMID: 16944111</identifier><identifier>CODEN: EXBRAP</identifier><language>eng</language><publisher>Berlin: Springer</publisher><subject>Algorithms ; Animals ; Behavioral psychophysiology ; Biological and medical sciences ; Data Interpretation, Statistical ; Decision making ; Decision Making - physiology ; Female ; Fundamental and applied biological sciences. Psychology ; Hypotheses ; Kinematics ; Macaca fascicularis ; Macaca mulatta ; Male ; Models, Neurological ; Monkeys & apes ; Motor control and motor pathways. Reflexes. Control centers of vegetative functions. Vestibular system and equilibration ; Movement - physiology ; Neurotransmission and behavior ; Nonlinear Dynamics ; Primates ; Psychology. Psychoanalysis. Psychiatry ; Psychology. 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How to interpret these irregularities is still under debate. While some reports assert that these irregularities are the result of a continuous controller interacting with the environment, we and others hold that the velocity irregularities are evidence for a controller that produces discrete movement corrections. Here we analyze rapid pronation/supination wrist movements in monkey during a 1D step-tracking task, where visual perturbations of the target were randomly introduced at movement onset. We use our recently introduced algorithm (Fishbach et al. in Exp Brain Res 164:442-457, 2005) to decompose an irregular movement into a primary movement and one or more discrete, corrective submovements. We first show that the visual perturbation has almost no effect on primary movements. In contrast, this perturbation influences the type and the extent of the corrective submovements that often follow primary movements. Secondly, we show that the highly variable timing of overlapping submovements does not depend directly on the visual perturbation but rather on an estimate of the movement error and on the movement's extent-to-go at the time of correction initiation. These results are consistent with a forward-model based intermittent controller with a non-linearity that depends both on a prediction of the magnitude and direction of the movement's error and on its variance. Corrections are initiated only when the predicted error is statistically significant. A simple abstract model that implements these principles accounts for the type and timing of the corrections observed in our data.</description><subject>Algorithms</subject><subject>Animals</subject><subject>Behavioral psychophysiology</subject><subject>Biological and medical sciences</subject><subject>Data Interpretation, Statistical</subject><subject>Decision making</subject><subject>Decision Making - physiology</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Hypotheses</subject><subject>Kinematics</subject><subject>Macaca fascicularis</subject><subject>Macaca mulatta</subject><subject>Male</subject><subject>Models, Neurological</subject><subject>Monkeys & apes</subject><subject>Motor control and motor pathways. Reflexes. Control centers of vegetative functions. 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Psychology</topic><topic>Hypotheses</topic><topic>Kinematics</topic><topic>Macaca fascicularis</topic><topic>Macaca mulatta</topic><topic>Male</topic><topic>Models, Neurological</topic><topic>Monkeys & apes</topic><topic>Motor control and motor pathways. Reflexes. Control centers of vegetative functions. Vestibular system and equilibration</topic><topic>Movement - physiology</topic><topic>Neurotransmission and behavior</topic><topic>Nonlinear Dynamics</topic><topic>Primates</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Psychomotor Performance - physiology</topic><topic>Velocity</topic><topic>Vertebrates: nervous system and sense organs</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>FISHBACH, Alon</creatorcontrib><creatorcontrib>ROY, Stephane A</creatorcontrib><creatorcontrib>BASTIANEN, Christina</creatorcontrib><creatorcontrib>MILLER, Lee E</creatorcontrib><creatorcontrib>HOUK, James C</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Social Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Experimental brain research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>FISHBACH, Alon</au><au>ROY, Stephane A</au><au>BASTIANEN, Christina</au><au>MILLER, Lee E</au><au>HOUK, James C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Deciding when and how to correct a movement : discrete submovements as a decision making process</atitle><jtitle>Experimental brain research</jtitle><addtitle>Exp Brain Res</addtitle><date>2007-02-01</date><risdate>2007</risdate><volume>177</volume><issue>1</issue><spage>45</spage><epage>63</epage><pages>45-63</pages><issn>0014-4819</issn><eissn>1432-1106</eissn><coden>EXBRAP</coden><abstract>Rapid reaching movements of human and non-human primates are often characterized by irregular multi-peaked velocity profiles. How to interpret these irregularities is still under debate. While some reports assert that these irregularities are the result of a continuous controller interacting with the environment, we and others hold that the velocity irregularities are evidence for a controller that produces discrete movement corrections. Here we analyze rapid pronation/supination wrist movements in monkey during a 1D step-tracking task, where visual perturbations of the target were randomly introduced at movement onset. We use our recently introduced algorithm (Fishbach et al. in Exp Brain Res 164:442-457, 2005) to decompose an irregular movement into a primary movement and one or more discrete, corrective submovements. We first show that the visual perturbation has almost no effect on primary movements. In contrast, this perturbation influences the type and the extent of the corrective submovements that often follow primary movements. Secondly, we show that the highly variable timing of overlapping submovements does not depend directly on the visual perturbation but rather on an estimate of the movement error and on the movement's extent-to-go at the time of correction initiation. These results are consistent with a forward-model based intermittent controller with a non-linearity that depends both on a prediction of the magnitude and direction of the movement's error and on its variance. Corrections are initiated only when the predicted error is statistically significant. A simple abstract model that implements these principles accounts for the type and timing of the corrections observed in our data.</abstract><cop>Berlin</cop><pub>Springer</pub><pmid>16944111</pmid><doi>10.1007/s00221-006-0652-y</doi><tpages>19</tpages></addata></record> |
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subjects | Algorithms Animals Behavioral psychophysiology Biological and medical sciences Data Interpretation, Statistical Decision making Decision Making - physiology Female Fundamental and applied biological sciences. Psychology Hypotheses Kinematics Macaca fascicularis Macaca mulatta Male Models, Neurological Monkeys & apes Motor control and motor pathways. Reflexes. Control centers of vegetative functions. Vestibular system and equilibration Movement - physiology Neurotransmission and behavior Nonlinear Dynamics Primates Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Psychomotor Performance - physiology Velocity Vertebrates: nervous system and sense organs |
title | Deciding when and how to correct a movement : discrete submovements as a decision making process |
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