A computational model of four regions of the cerebellum based on feedback-error learning

By Mitsuo Kawato, Hiroaki Gomi. Biological cybernetics, 2004

500 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Neurology, Sensory Systems

View Paper: https://www.semanticscholar.org/paper/0f9427efd63c0ab6e6eb2ab7537dc8ccfb4399b9

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

1. John F. Houde
2. Jun Izawa
3. Reza Shadmehr
4. Frank H. Guenther
5. John W. Krakauer
6. Srikantan S. Nagarajan
7. Michael A. Arbib
8. Filip Ponulak

In Neurology

1. Jun Izawa
2. John F. Houde
3. Reza Shadmehr
4. Amy J. Bastian
5. Srikantan S. Nagarajan
6. Michael A. Arbib
7. Filip Ponulak
8. Andrzej J. Kasinski

In Sensory Systems

1. Filip Ponulak
2. Andrzej J. Kasinski
3. Reza Shadmehr
4. Ann M. Graybiel

Citations in the corpus

• Habits, rituals, and the evaluative brain. (2008, result): “Doyon et al. (2003) propose a key function for corticostriatal circuits in this process, contrasting these with cerebellum-based learning processes that allow adjustments of motor behavior to imposed changes (Kawato & Gomi 1992).”
• Introduction to spiking neural networks: Information processing, learning and applications. (2011, background): “…supervised learning is believed to be utilized by the neural motor centers to form internal representations of the body and the environment (Kawato and Gomi 1992a,b, Shidara et al. 1993, Miall and Wolpert 1996, Wolpert et al. 1998) or for behavioral simulations and the encapsulation of…”
• Neural modeling and imaging of the cortical interactions underlying syllable production. (2006, background): “During these early productions, the feedforward control system is “tuning itself up” by monitoring the motor commands generated by the feedback control system (see also Kawato & Gomi, 1992).”
• Learning from Sensory and Reward Prediction Errors during Motor Adaptation (2011, background): “adaptation [4,5,11,12,13,14], to our knowledge all current models”
• Schema design and implementation of the grasp-related mirror neuron system (2002, background): “The adaptive learning of motor control and trajetory planning is widely studied (for example Kawato et al., 1987; Kawato and Gomi, 1992; Jordan and Rumelhart 1992; Karniel and Inbar, 1997; Breteler et al., 2001).”
• A computational neuroanatomy for motor control (2008, background): “An example of this approach would be the extensive work on the cerebellar circuitry underlying eyeblink conditioning (Ohyama et al. 2003), the vestibuloocular reflex (Raymond et al. 1996), or reaching ( Kawato and Gomi 1992 ).”
• Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting (2010, methodology): “…be utilized by the neural motor centers to form the internal representation of the body and the environment (Shidara, Kawano, Gomi, & Kawato, 1993; Kawato & Gomi, 1992a, 1992b; Miall & Wolpert, 1996; Wolpert, Miall, & Kawato, 1998) or for behavioral simulations and the encapsulation of learned…”
• Cerebellar Contributions to Locomotor Adaptations during Splitbelt Treadmill Walking (2006, background): “Error information from sensorimotor feedback is presumed to drive alterations of and continuously update this representation (Ito, 1989, 2000; Kawato and Gomi, 1992; Imamizu et al., 2000).”
• Speech Production as State Feedback Control (2011, background): “First, although both somatosensory (Kandel et al., 2000; Jürgens, 2002) and auditory (Burnett et al., 1998; Jürgens, 2002) pathways make subcortical connections with descending motor feedback error learning architecture (Kawato et al., 1987; Kawato and Gomi, 1992).”