How variability shapes learning and generalization
Learning is using past experiences to inform new behaviors and actions. Because all
experiences are unique, learning always requires some generalization. An effective way of …
experiences are unique, learning always requires some generalization. An effective way of …
Contextual inference in learning and memory
Context is widely regarded as a major determinant of learning and memory across
numerous domains, including classical and instrumental conditioning, episodic memory …
numerous domains, including classical and instrumental conditioning, episodic memory …
Three types of incremental learning
Incrementally learning new information from a non-stationary stream of data, referred to as
'continual learning', is a key feature of natural intelligence, but a challenging problem for …
'continual learning', is a key feature of natural intelligence, but a challenging problem for …
Understanding implicit sensorimotor adaptation as a process of proprioceptive re-alignment
Multiple learning processes contribute to successful goal-directed actions in the face of
changing physiological states, biomechanical constraints, and environmental contexts …
changing physiological states, biomechanical constraints, and environmental contexts …
Going beyond primary motor cortex to improve brain–computer interfaces
Brain–computer interfaces (BCIs) for movement restoration typically decode the user's intent
from neural activity in their primary motor cortex (M1) and use this information to enable …
from neural activity in their primary motor cortex (M1) and use this information to enable …
Exploration-based learning of a stabilizing controller predicts locomotor adaptation
Humans adapt their locomotion seamlessly in response to changes in the body or the
environment. It is unclear how such adaptation improves performance measures like energy …
environment. It is unclear how such adaptation improves performance measures like energy …
Competition between parallel sensorimotor learning systems
Sensorimotor learning is supported by at least two parallel systems: a strategic process that
benefits from explicit knowledge and an implicit process that adapts subconsciously. How do …
benefits from explicit knowledge and an implicit process that adapts subconsciously. How do …
Learning critically drives parkinsonian motor deficits through imbalanced striatal pathway recruitment
THC Cheung, Y Ding, X Zhuang… - Proceedings of the …, 2023 - National Acad Sciences
Dopamine (DA) loss in Parkinson's disease (PD) causes debilitating motor deficits.
However, dopamine is also widely linked to reward prediction and learning, and the …
However, dopamine is also widely linked to reward prediction and learning, and the …
Inferring neural activity before plasticity as a foundation for learning beyond backpropagation
For both humans and machines, the essence of learning is to pinpoint which components in
its information processing pipeline are responsible for an error in its output, a challenge that …
its information processing pipeline are responsible for an error in its output, a challenge that …
Rapid context inference in a thalamocortical model using recurrent neural networks
Cognitive flexibility is a fundamental ability that enables humans and animals to exhibit
appropriate behaviors in various contexts. The thalamocortical interactions between the …
appropriate behaviors in various contexts. The thalamocortical interactions between the …