nonlinear regression curvefitting one phase decay model Search Results


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Nonlinear Regression Curvefitting Program, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Nonlinear Regression Curvefitting One Phase Decay Model, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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A Representative hand paths from subject 1 from all three experimental sequences are shown. The last two trials from the pre-exposure sequence are shown in gray (dashed lines), underlying all other trials. The first trials from the mass-exposure session (mass-perturbed, left column), the last two trials from the same session (mass-adapted, center column), and the first two trials from the post-exposure session (aftereffects, right column) are displayed. Dominant paths are shown above, whereas nondominant hand paths are shown below. B Mean performance measures, hand-path linearity and final position error, are averaged across all subjects and shown for individual cycles of movement. Baseline performance, measured for each subject as the average of the last eight cycles from the pre-exposure sequence, has been subtracted from each value prior to computing the average across subjects. Thus, the performance measures shown represent a change from baseline performance, and can be either positive or negative. Each cycle represents the average of a single movement to each of eight targets across all subjects (mean ± SE). The time course of each experimental sequence, pre-exposure, mass-exposure, and post-exposure, is shown. Vertically oriented gray bars mark the cycles for which the trials in Fig. 2A were extracted. Data have been fit to exponential functions, using the <t>“CurveFit”</t> function in Igor Pro (Wavemetrics)
Curvefit Function In Igor Pro, supplied by wavemetrics inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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A Representative hand paths from subject 1 from all three experimental sequences are shown. The last two trials from the pre-exposure sequence are shown in gray (dashed lines), underlying all other trials. The first trials from the mass-exposure session (mass-perturbed, left column), the last two trials from the same session (mass-adapted, center column), and the first two trials from the post-exposure session (aftereffects, right column) are displayed. Dominant paths are shown above, whereas nondominant hand paths are shown below. B Mean performance measures, hand-path linearity and final position error, are averaged across all subjects and shown for individual cycles of movement. Baseline performance, measured for each subject as the average of the last eight cycles from the pre-exposure sequence, has been subtracted from each value prior to computing the average across subjects. Thus, the performance measures shown represent a change from baseline performance, and can be either positive or negative. Each cycle represents the average of a single movement to each of eight targets across all subjects (mean ± SE). The time course of each experimental sequence, pre-exposure, mass-exposure, and post-exposure, is shown. Vertically oriented gray bars mark the cycles for which the trials in Fig. 2A were extracted. Data have been fit to exponential functions, using the <t>“CurveFit”</t> function in Igor Pro (Wavemetrics)
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A Representative hand paths from subject 1 from all three experimental sequences are shown. The last two trials from the pre-exposure sequence are shown in gray (dashed lines), underlying all other trials. The first trials from the mass-exposure session (mass-perturbed, left column), the last two trials from the same session (mass-adapted, center column), and the first two trials from the post-exposure session (aftereffects, right column) are displayed. Dominant paths are shown above, whereas nondominant hand paths are shown below. B Mean performance measures, hand-path linearity and final position error, are averaged across all subjects and shown for individual cycles of movement. Baseline performance, measured for each subject as the average of the last eight cycles from the pre-exposure sequence, has been subtracted from each value prior to computing the average across subjects. Thus, the performance measures shown represent a change from baseline performance, and can be either positive or negative. Each cycle represents the average of a single movement to each of eight targets across all subjects (mean ± SE). The time course of each experimental sequence, pre-exposure, mass-exposure, and post-exposure, is shown. Vertically oriented gray bars mark the cycles for which the trials in Fig. 2A were extracted. Data have been fit to exponential functions, using the <t>“CurveFit”</t> function in Igor Pro (Wavemetrics)
Prog Curvefit, supplied by Aptech Systems, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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A Representative hand paths from subject 1 from all three experimental sequences are shown. The last two trials from the pre-exposure sequence are shown in gray (dashed lines), underlying all other trials. The first trials from the mass-exposure session (mass-perturbed, left column), the last two trials from the same session (mass-adapted, center column), and the first two trials from the post-exposure session (aftereffects, right column) are displayed. Dominant paths are shown above, whereas nondominant hand paths are shown below. B Mean performance measures, hand-path linearity and final position error, are averaged across all subjects and shown for individual cycles of movement. Baseline performance, measured for each subject as the average of the last eight cycles from the pre-exposure sequence, has been subtracted from each value prior to computing the average across subjects. Thus, the performance measures shown represent a change from baseline performance, and can be either positive or negative. Each cycle represents the average of a single movement to each of eight targets across all subjects (mean ± SE). The time course of each experimental sequence, pre-exposure, mass-exposure, and post-exposure, is shown. Vertically oriented gray bars mark the cycles for which the trials in Fig. 2A were extracted. Data have been fit to exponential functions, using the <t>“CurveFit”</t> function in Igor Pro (Wavemetrics)
Curvefit Function, supplied by wavemetrics inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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SAS institute nonlinear curvefitting function in jmp
A Representative hand paths from subject 1 from all three experimental sequences are shown. The last two trials from the pre-exposure sequence are shown in gray (dashed lines), underlying all other trials. The first trials from the mass-exposure session (mass-perturbed, left column), the last two trials from the same session (mass-adapted, center column), and the first two trials from the post-exposure session (aftereffects, right column) are displayed. Dominant paths are shown above, whereas nondominant hand paths are shown below. B Mean performance measures, hand-path linearity and final position error, are averaged across all subjects and shown for individual cycles of movement. Baseline performance, measured for each subject as the average of the last eight cycles from the pre-exposure sequence, has been subtracted from each value prior to computing the average across subjects. Thus, the performance measures shown represent a change from baseline performance, and can be either positive or negative. Each cycle represents the average of a single movement to each of eight targets across all subjects (mean ± SE). The time course of each experimental sequence, pre-exposure, mass-exposure, and post-exposure, is shown. Vertically oriented gray bars mark the cycles for which the trials in Fig. 2A were extracted. Data have been fit to exponential functions, using the <t>“CurveFit”</t> function in Igor Pro (Wavemetrics)
Nonlinear Curvefitting Function In Jmp, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


A Representative hand paths from subject 1 from all three experimental sequences are shown. The last two trials from the pre-exposure sequence are shown in gray (dashed lines), underlying all other trials. The first trials from the mass-exposure session (mass-perturbed, left column), the last two trials from the same session (mass-adapted, center column), and the first two trials from the post-exposure session (aftereffects, right column) are displayed. Dominant paths are shown above, whereas nondominant hand paths are shown below. B Mean performance measures, hand-path linearity and final position error, are averaged across all subjects and shown for individual cycles of movement. Baseline performance, measured for each subject as the average of the last eight cycles from the pre-exposure sequence, has been subtracted from each value prior to computing the average across subjects. Thus, the performance measures shown represent a change from baseline performance, and can be either positive or negative. Each cycle represents the average of a single movement to each of eight targets across all subjects (mean ± SE). The time course of each experimental sequence, pre-exposure, mass-exposure, and post-exposure, is shown. Vertically oriented gray bars mark the cycles for which the trials in Fig. 2A were extracted. Data have been fit to exponential functions, using the “CurveFit” function in Igor Pro (Wavemetrics)

Journal: Experimental brain research

Article Title: Evidence for a dynamic-dominance hypothesis of handedness

doi: 10.1007/s00221-001-0913-8

Figure Lengend Snippet: A Representative hand paths from subject 1 from all three experimental sequences are shown. The last two trials from the pre-exposure sequence are shown in gray (dashed lines), underlying all other trials. The first trials from the mass-exposure session (mass-perturbed, left column), the last two trials from the same session (mass-adapted, center column), and the first two trials from the post-exposure session (aftereffects, right column) are displayed. Dominant paths are shown above, whereas nondominant hand paths are shown below. B Mean performance measures, hand-path linearity and final position error, are averaged across all subjects and shown for individual cycles of movement. Baseline performance, measured for each subject as the average of the last eight cycles from the pre-exposure sequence, has been subtracted from each value prior to computing the average across subjects. Thus, the performance measures shown represent a change from baseline performance, and can be either positive or negative. Each cycle represents the average of a single movement to each of eight targets across all subjects (mean ± SE). The time course of each experimental sequence, pre-exposure, mass-exposure, and post-exposure, is shown. Vertically oriented gray bars mark the cycles for which the trials in Fig. 2A were extracted. Data have been fit to exponential functions, using the “CurveFit” function in Igor Pro (Wavemetrics)

Article Snippet: Data have been fit to exponential functions, using the “CurveFit” function in Igor Pro (Wavemetrics).

Techniques: Sequencing

A Representative hand paths from subject 1 from all three experimental sequences are shown. The last two trials from the pre-exposure sequence are shown in gray (dashed lines), underlying all other trials. The first trials from the rotation exposure session (rotation-perturbed, left column), the last two trials from the same session (rotation-adapted, center column), and the first two trials from the post-exposure session (aftereffects, right column) are displayed. Dominant paths are shown above, whereas nondominant hand paths are shown below. B Mean performance measures, hand-path linearity and final position error, are averaged across all subjects and shown for individual cycles of movement. Baseline performance, measured for each subject as the average of the last eight cycles from the pre-exposure sequence, has been subtracted from each value prior to computing the average across subjects. Thus, the performance measures shown represent a change from baseline performance, and can be either positive or negative. Each cycle represents the average of a single movement to each of eight targets, across all subjects (mean±SE). The time course of each experimental sequence, pre-exposure, mass-exposure, and post-exposure, is shown. Data have been fit to exponential functions, using the “CurveFit” function in Igor Pro (Wavemetrics).Vertically oriented gray bars mark the cycles for which the trials in Fig. 2A were extracted

Journal: Experimental brain research

Article Title: Evidence for a dynamic-dominance hypothesis of handedness

doi: 10.1007/s00221-001-0913-8

Figure Lengend Snippet: A Representative hand paths from subject 1 from all three experimental sequences are shown. The last two trials from the pre-exposure sequence are shown in gray (dashed lines), underlying all other trials. The first trials from the rotation exposure session (rotation-perturbed, left column), the last two trials from the same session (rotation-adapted, center column), and the first two trials from the post-exposure session (aftereffects, right column) are displayed. Dominant paths are shown above, whereas nondominant hand paths are shown below. B Mean performance measures, hand-path linearity and final position error, are averaged across all subjects and shown for individual cycles of movement. Baseline performance, measured for each subject as the average of the last eight cycles from the pre-exposure sequence, has been subtracted from each value prior to computing the average across subjects. Thus, the performance measures shown represent a change from baseline performance, and can be either positive or negative. Each cycle represents the average of a single movement to each of eight targets, across all subjects (mean±SE). The time course of each experimental sequence, pre-exposure, mass-exposure, and post-exposure, is shown. Data have been fit to exponential functions, using the “CurveFit” function in Igor Pro (Wavemetrics).Vertically oriented gray bars mark the cycles for which the trials in Fig. 2A were extracted

Article Snippet: Data have been fit to exponential functions, using the “CurveFit” function in Igor Pro (Wavemetrics).

Techniques: Sequencing