Forward models in visuomotor control.
By Biren Mehta, Stefan Schaal. Journal of Neurophysiology, 2002
357 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Physical Therapy, Sports Therapy and Rehabilitation, Social Psychology
View Paper: https://www.semanticscholar.org/paper/a65f0e11e9fae09433ab821d99c69131bdd2d153
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Etienne Burdet
- Jeremy D. Schmahmann
- David W. Franklin
- Masao Ito
- Giovanni Pezzulo
- Mitsuo Kawato
- John F. Houde
- Narender Ramnani
In Physical Therapy, Sports Therapy and Rehabilitation
- David W. Franklin
- Giovanni Pezzulo
- David J. Reinkensmeyer
- Jeremy L. Emken
- Steven C. Cramer
- Etienne Burdet
In Social Psychology
- Jeremy D. Schmahmann
- Masao Ito
- Giovanni Pezzulo
- Narender Ramnani
- John F. Houde
- D. von Cramon
- Andreja Bubić
- Ricarda I. Schubotz
Citations in the corpus
- Reinforcement Learning for Humanoid Robotics (2003, neutral): “01Σ0 as in [31].”
- Grounding Procedural and Declarative Knowledge in Sensorimotor Anticipation (2011, background): “, 1995), visuomotor control (Mehta and Schaal, 2002), imagery (Jeannerod, 2001; Kosslyn, 1994), stabilization of perception (Haarmeier et al.”
- Computational mechanisms of sensorimotor control. (2011, neutral): “In such cases the neural feedback pathways may be insufficient to maintain stability (Mehta and Schaal, 2002).”
- Prediction, Cognition and the Brain (2009, background): “…(Wolpert and Flanagan, 2001), motor imagery and action understanding (Jeannerod, 2001; Kilner et al., 2007), visual processing and attention (Mehta and Schaal, 2002; Enns and Lleras, 2008), language (DeLong et al., 2005), music (Keller and Koch, 2008), emotional processing (Ueda et al.,…”
- Unstable or Insufficiently Activated Internal Models and Feedback-Biased Motor Control as Sources of Dysfluency: A Theoretical Model of Stuttering (2004, background): “…to make such predictions, the controller has access to a forward internal model that can be used to evaluate the efference copy (Bhushan & Shadmehr, 1999; Blakemore et al., 2001; Desmurget & Grafton, 2000; Flanagan & Wing, 1997; Mehta & Schaal, 2002; Wolpert & Miall, 1996; Wolpert et al., 2001).”
- Robotics, motor learning, and neurologic recovery. (2004, methodology): “Forward models, which are more difficult to isolate (37, 38), could be useful in motor learning for selecting inverse models and as state estimators for use in control.”
- CNS Learns Stable, Accurate, and Efficient Movements Using a Simple Algorithm (2008, background): “Feedforward control of mechanical impedance is necessary in biological systems because neural delays preclude the use of feedback to compensate for instability in the environment (Mehta and Schaal, 2002).”
- Speech Production as State Feedback Control (2011, background): “…this feedback-based correction process is called an observer (Jacobs, 1993; Stengel, 1994; Wolpert, 1997; Tin and Poon, 2005), which in this case, because it includes allowances for feedback delays, is also a variant of a Smith Predictor (Smith, 1959; Miall et al., 1993; Mehta and Schaal, 2002).”
- Consensus Paper: The Cerebellum's Role in Movement and Cognition (2013, background): “Although the concepts of internal models were originally proposed in studies on the control of body movements, many behavioral studies have suggested that the central nervous system (CNS) applies such models to the manipulation of external objects [220] as well as tools [221].”