This paper shows how a minimal neural network model of the cerebellum may be embedded within a sensory-neuro-muscular control system that mimics known anatomy and physiology. With this embedding, cerebellar learning promotes load compensation while also allowing both coactivation and reciprocal inhibition of sets of antagonist muscles. In particular, we show how synaptic long term depression guided by feedback from muscle stretch receptors can lead to trans-cerebellar gain changes that are load-compensating. It is argued that the same processes help to adaptively discover multi-joint synergies. Simulations of rapid single joint rotations under load illustrates design feasibility and stability.National Science Foundation (IRI-90-24877, IRI-8...
The cerebellum is involved in a large number of different neural processes, especially in associativ...
The cerebellum is known to play a critical role in learning relevant patterns of activity for adapti...
Motor adaptation to perturbations is provided by learning mechanisms operating in the cerebellum and...
This paper shows how a minimal neural network model of the cerebellum may be embedded within a senso...
A neural network model of opponent cerebellar learning for ann movement control is proposed. The mod...
A neural network model of opponent cerebellar learning for arm movement control is proposed. The mod...
A neural network model of opponent cerebellar learning for ann movement control is proposed. The mod...
{Acknowledgments: The authors wish to thank Diana Meyers for her valuable assistance in the preparat...
Adaptable gain regulation is at the core of the forward controller operation performed by the cerebr...
The cerebellum plays a crucial role in motor learning and it acts as a predictive controller. Modeli...
Biological control systems have long been studied as possible inspiration for the construction of ro...
The cerebellum plays a crucial role in motor learning and it acts as a predictive controller. Modeli...
Complex interactions between brain regions and the spinal cord (SC) govern body motion, which is ult...
Motor adaptation to perturbations is provided by learning mechanisms operating in the cerebellum and...
The cerebellum is known to play a critical role in learning relevant patterns of activity for adapti...
The cerebellum is involved in a large number of different neural processes, especially in associativ...
The cerebellum is known to play a critical role in learning relevant patterns of activity for adapti...
Motor adaptation to perturbations is provided by learning mechanisms operating in the cerebellum and...
This paper shows how a minimal neural network model of the cerebellum may be embedded within a senso...
A neural network model of opponent cerebellar learning for ann movement control is proposed. The mod...
A neural network model of opponent cerebellar learning for arm movement control is proposed. The mod...
A neural network model of opponent cerebellar learning for ann movement control is proposed. The mod...
{Acknowledgments: The authors wish to thank Diana Meyers for her valuable assistance in the preparat...
Adaptable gain regulation is at the core of the forward controller operation performed by the cerebr...
The cerebellum plays a crucial role in motor learning and it acts as a predictive controller. Modeli...
Biological control systems have long been studied as possible inspiration for the construction of ro...
The cerebellum plays a crucial role in motor learning and it acts as a predictive controller. Modeli...
Complex interactions between brain regions and the spinal cord (SC) govern body motion, which is ult...
Motor adaptation to perturbations is provided by learning mechanisms operating in the cerebellum and...
The cerebellum is known to play a critical role in learning relevant patterns of activity for adapti...
The cerebellum is involved in a large number of different neural processes, especially in associativ...
The cerebellum is known to play a critical role in learning relevant patterns of activity for adapti...
Motor adaptation to perturbations is provided by learning mechanisms operating in the cerebellum and...