Journal ArticleDOI
Multiple paired forward and inverse models for motor control
Daniel M. Wolpert,Mitsuo Kawato +1 more
TLDR
A modular approach to motor learning and control based on multiple pairs of inverse (controller) and forward (predictor) models that can simultaneously learn the multiple inverse models necessary for control as well as how to select the inverse models appropriate for a given environment is proposed.About:
This article is published in Neural Networks.The article was published on 1998-10-01. It has received 2101 citations till now. The article focuses on the topics: Motor control & Motor learning.read more
Citations
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Journal ArticleDOI
The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity.
TL;DR: This paper presented a unified account of two neural systems concerned with the development and expression of adaptive behaviors: a mesencephalic dopamine system for reinforcement learning and a generic error-processing system associated with the anterior cingulate cortex.
Journal ArticleDOI
The Theory of Event Coding (TEC): a framework for perception and action planning.
TL;DR: A new framework for a more adequate theoretical treatment of perception and action planning is proposed, in which perceptual contents and action plans are coded in a common representational medium by feature codes with distal reference, showing that the main assumptions are well supported by the data.
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Internal models for motor control and trajectory planning
TL;DR: The 'minimum variance model' is another major recent advance in the computational theory of motor control, strongly suggesting that both kinematic and dynamic internal models are utilized in movement planning and control.
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Internal models in the cerebellum
TL;DR: This review will focus on the possibility that the cerebellum contains an internal model or models of the motor apparatus, and the necessity of such a model and the evidence, based on the ocular following response, that inverse models are found within the Cerebellar circuitry.
Journal ArticleDOI
Computational principles of movement neuroscience
TL;DR: This goal is to demonstrate how specific models emerging from the computational approach provide a theoretical framework for movement neuroscience.
References
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Journal ArticleDOI
Maximum likelihood from incomplete data via the EM algorithm
Journal ArticleDOI
Adaptive mixtures of local experts
TL;DR: A new supervised learning procedure for systems composed of many separate networks, each of which learns to handle a subset of the complete set of training cases, which is demonstrated to be able to be solved by a very simple expert network.
Book
Handbook of perception and human performance
TL;DR: This handbook covers theory and methods; basic visual processes; auditory, kinesthetic, cutaneous, and vestibular senses; and space and motion perception; and human performance.
Journal ArticleDOI
An Internal Model for Sensorimotor Integration
TL;DR: A sensorimotor integration task was investigated in which participants estimated the location of one of their hands at the end of movements made in the dark and under externally imposed forces, providing direct support for the existence of an internal model.