Principles of neurorehabilitation after stroke based on motor learning and brain plasticity mechanisms

M Maier, BR Ballester, PFMJ Verschure - Frontiers in systems …, 2019 - frontiersin.org
What are the principles underlying effective neurorehabilitation? The aim of
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 …

Random synaptic feedback weights support error backpropagation for deep learning

TP Lillicrap, D Cownden, DB Tweed… - Nature …, 2016 - nature.com
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 …

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 …

Internal models in the cerebellum

DM Wolpert, RC Miall, M Kawato - Trends in cognitive sciences, 1998 - cell.com
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 …

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 …

Computational principles of movement neuroscience

DM Wolpert, Z Ghahramani - Nature neuroscience, 2000 - nature.com
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 …

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 …

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 …

Neuronal coding of prediction errors

W Schultz, A Dickinson - Annual review of neuroscience, 2000 - annualreviews.org
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 …