There are ever more compelling tools available for neuroscience research, ranging from
selective genetic targeting to optogenetic circuit control to map** whole connectomes …

Motor learning encompasses a wide range of phenomena, ranging from relatively low-level
mechanisms for maintaining calibration of our movements, to making high-level cognitive …

What are the principles underlying effective neurorehabilitation? The aim of
neurorehabilitation is to exploit interventions based on human and animal studies about …

Context is widely regarded as a major determinant of learning and memory across
numerous domains, including classical and instrumental conditioning, episodic memory …

Skilled sensorimotor interactions with the world result from a series of decision-making
processes that determine, on the basis of information extracted during the unfolding …

Reinforcement learning (RL) is a framework of particular importance to psychology,
neuroscience and machine learning. Interactions between these fields, as promoted through …

Learning new motor behaviors or adjusting previously learned actions to account for
dynamic changes in our environment requires the operation of multiple distinct motor …

Multiple learning processes contribute to successful goal-directed actions in the face of
changing physiological states, biomechanical constraints, and environmental contexts …

A popular model of human sensorimotor learning suggests that a fast process and a slow
process work in parallel to produce the canonical learning curve. Recent evidence supports …

The challenge-point framework as a model for thinking about motor learning was first
proposed in 2004. Although it has been well-cited, surprisingly this framework has not made …