Spatial control of arm movements

By P. Morasso. Experimental Brain Research, 2004

1,201 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/701688793ebeadd2183d73190750e07c8b53e5d4

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In Cognitive Neuroscience

In Control and Systems Engineering

Citations in the corpus

A computational neuroanatomy for motor control (2008, background): “reaching movements and noted further regularities: the hand moved in roughly a straight line with a bell-shaped speed profile, while the various joints moved in more complicated patterns (Morasso 1981).”
Optimal feedback control and the neural basis of volitional motor control (2004, background): “For example, hand trajectories remain relatively straight from start to end, and hand velocity follows a smooth, bell-shaped profil”
Neural primitives for motion control (2004, background): “In contrast, the joint angular velocities have different temporal profiles in different movements (from [18]).”
Cortical neural prosthetics. (2004, background): “Examples of these invariant features are the bell-shaped velocity profile (Morasso 1981) of reaching movement and the two-thirds power law pertaining to drawing and handwriting (Viviani & Terzuolo 1982).”
Does the motor control system use multiple models and context switching to cope with a variable environment? (2002, neutral): “Reaching movements are typically performed in a straight line from the initial position of the hand to the target (Morasso 1981).”
On the analysis of movement smoothness (2015, background): “Reaching arm movements of healthy adult subjects have almost straight line trajectories with bellshaped speed profiles [11].”
Dynamics systems vs. optimal control--a unifying view. (2007, background): “Since Morasso's and his coworkers' seminal work in the early 1980s (Morasso, 1981, 1983; Abend Feedforward Controller u ff u fb + + + x d Feedback Controller x u Dynamic Systems Policy Task Specific Parameters Perceptual Coupling Motor System”
Sources of signal-dependent noise during isometric force production. (2002, background): “…command has a constant coefficient of variation (CV), i.e., scales linearly with the magnitude of the motor command, this model accurately predicts the invariant kinematics of arm movement trajectories, Fitts’ law, and the two-thirds power law (Fitts 1954; Lacquaniti et al. 1983; Morasso 1981).”
The Gesture as an Autonomous Nonlinear Dynamical System (2016, background): “…by studies in nonspeech motor control (e.g., limb control in humans and monkeys; Abend, Bizzi, & Morasso, 1982; Georgopoulos, Kalaska, & Massey, 1981; Morasso, 1981), this functionally relevant variable may be a spatial variable (e.g., constriction degree, vocal tract length, lower tooth height).”
Computational principles of sensorimotor control that minimize uncertainty and variability (2007, background): “Despite this redundancy, human movement patterns are highly stereotyped (Bahill et al. 1975; Morasso, 1981; Lacquaniti et al. 1983).”
Complex movements evoked by microstimulation of precentral cortex. (2002, background): “These evoked teristic of a skilled reach (Morasso, 1981).”