Human cerebellar activity reflecting an acquired internal model of a new tool

By H. Imamizu, S. Miyauchi, T. Tamada, Y. Sasaki, R. Takino, B. Pütz, Taku Yoshioka, Mitsuo Kawato. 2000

1,041 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Neurology, Social Psychology

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

In Neurology

In Social Psychology

Citations in the corpus

Towards Continual Reinforcement Learning: A Review and Perspectives (2020, positive): “Their simulation results corroborate findings associated with fMRI data (Imamizu, 1997; Imamizu et al., 2000) suggesting that when a new task is introduced, many modules initially compete to learn it.”
Brain plasticity related to the consolidation of motor sequence learning and motor adaptation (2010, result): “Such results further confirm the view that this region of the cerebellum is not only involved in the building and storing of an internal model necessary to execute the MA task efficiently (25, 26), but that it is also related to the consolidation process of this skill (8).”
Unstable or Insufficiently Activated Internal Models and Feedback-Biased Motor Control as Sources of Dysfluency: A Theoretical Model of Stuttering (2004, background): “Other work has suggested that global activation changes in the cerebellum may reflect learning processes, whereas local changes in an area near the posterior superior fissure may reflect the actual formation of an internal model (Imamizu et al., 2000).”
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).”
Cerebellar long-term depression: characterization, signal transduction, and functional roles. (2001, background): “One may suppose that, at the beginning of motor learning, the cerebral cortex sends MF signals via pontine nuclei widely to the cerebellum so that GAs are activated in a wide area of the cerebellum, as occurs in the early phase of learning (221).”
Distinct contribution of the cortico-striatal and cortico-cerebellar systems to motor skill learning. (2003, background): “Tasks have included target reaching with the upper limb, in which the relationship between movements of a manipulandum and cursor on a monitor is reversed[11,25], and pointing to a target with a robotic arm to which different force fields are applied [34,58,59] .”
The emulation theory of representation: Motor control, imagery, and perception (2004, background): “However, this evidence is based on different kinds of neuroimaging. In my opinion, one should rather be looking for functional units in the brain, described in neurocomputational terms that can be interpreted as some kind of Kalman filter. At a low level, the example from Duhamel et al. (1992) conce”
Multiple Model-Based Reinforcement Learning (2002, background): “Imamizu et al. (1997, 2000) showed in fMRI experiments of novel tool use that a large area of the cerebellum is activated initially, and then a smaller area remains active after long training.”
From the perception of action to the understanding of intention (2001, background): “There is evidence that the cerebellum is involved in such a predictive system, storing representations of motor commands and their sensory consequences, body kinematics, external tools and action contexts, from which predictions are mad”
Contributions of the basal ganglia and functionally related brain structures to motor learning. (2009, neutral): “, kinematic MA measure) [51,52,108] or to perturbations pplied by a velocity-dependent field that pushes the hand perendicular to its direction of motion (dynamic MA measure) (e.”
Tools for the body (schema). (2004, positive): “[ 53 ]). In line with this view, a recent PET imaging study in monkeys shows that the use of an effective (versus ineffective) tool is characterized by an intraparietal activation (compatible with single-neuron recordings [29]) accompanied by acticity in a network of premotor, cerebellar and subcort”
The neural bases of complex tool use in humans. (2004, background): “These findings indicate that as the skill of using the mouse is mastered (actually re-mastered), there is an increase within a localized sector of the cerebellum (posterior superior fissure) that might reflect the construction of an internal model of the new tool-use skill (Figure 3d) [ 57 ].”