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Principles of neurorehabilitation after stroke based on motor learning and brain plasticity mechanisms
What are the principles underlying effective neurorehabilitation? The aim of
neurorehabilitation is to exploit interventions based on human and animal studies about …
neurorehabilitation is to exploit interventions based on human and animal studies about …
Neuronal reward and decision signals: from theories to data
W Schultz - Physiological reviews, 2015 - journals.physiology.org
Rewards are crucial objects that induce learning, approach behavior, choices, and
emotions. Whereas emotions are difficult to investigate in animals, the learning function is …
emotions. Whereas emotions are difficult to investigate in animals, the learning function is …
Random synaptic feedback weights support error backpropagation for deep learning
The brain processes information through multiple layers of neurons. This deep architecture
is representationally powerful, but complicates learning because it is difficult to identify the …
is representationally powerful, but complicates learning because it is difficult to identify the …
Prediction signals in the cerebellum: beyond supervised motor learning
C Hull - elife, 2020 - elifesciences.org
While classical views of cerebellar learning have suggested that this structure predominantly
operates according to an error-based supervised learning rule to refine movements …
operates according to an error-based supervised learning rule to refine movements …
Internal models in the cerebellum
This review will focus on the possibility that the cerebellum contains an internal model or
models of the motor apparatus. Inverse internal models can provide the neural command …
models of the motor apparatus. Inverse internal models can provide the neural command …
Internal models for motor control and trajectory planning
M Kawato - Current opinion in neurobiology, 1999 - Elsevier
A number of internal model concepts are now widespread in neuroscience and cognitive
science. These concepts are supported by behavioral, neurophysiological, and imaging …
science. These concepts are supported by behavioral, neurophysiological, and imaging …
Computational principles of movement neuroscience
Unifying principles of movement have emerged from the computational study of motor
control. We review several of these principles and show how they apply to processes such …
control. We review several of these principles and show how they apply to processes such …
Getting formal with dopamine and reward
W Schultz - Neuron, 2002 - cell.com
Recent neurophysiological studies reveal that neurons in certain brain structures carry
specific signals about past and future rewards. Dopamine neurons display a short-latency …
specific signals about past and future rewards. Dopamine neurons display a short-latency …
The forward model: a unifying theory for the role of the cerebellum in motor control and sense of agency
Q Welniarz, Y Worbe, C Gallea - Frontiers in Systems Neuroscience, 2021 - frontiersin.org
For more than two decades, there has been converging evidence for an essential role of the
cerebellum in non-motor functions. The cerebellum is not only important in learning and …
cerebellum in non-motor functions. The cerebellum is not only important in learning and …
Neuronal coding of prediction errors
Associative learning enables animals to anticipate the occurrence of important outcomes.
Learning occurs when the actual outcome differs from the predicted outcome, resulting in a …
Learning occurs when the actual outcome differs from the predicted outcome, resulting in a …