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Contextual inference in learning and memory
JB Heald, M Lengyel, DM Wolpert - Trends in cognitive sciences, 2023 - cell.com
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 …
A review of sensory feedback in upper-limb prostheses from the perspective of human motor control
JW Sensinger, S Dosen - Frontiers in neuroscience, 2020 - frontiersin.org
This manuscript reviews historical and recent studies that focus on supplementary sensory
feedback for use in upper limb prostheses. It shows that the inability of many studies to …
feedback for use in upper limb prostheses. It shows that the inability of many studies to …
Probabilistic model-agnostic meta-learning
Meta-learning for few-shot learning entails acquiring a prior over previous tasks and
experiences, such that new tasks be learned from small amounts of data. However, a critical …
experiences, such that new tasks be learned from small amounts of data. However, a critical …
Task-sequencing meta learning for intelligent few-shot fault diagnosis with limited data
Recently, deep learning-based intelligent fault diagnosis methods have been developed
rapidly, which rely on massive data to train the diagnosis model. However, it is usually …
rapidly, which rely on massive data to train the diagnosis model. However, it is usually …
Human-level concept learning through probabilistic program induction
BM Lake, R Salakhutdinov, JB Tenenbaum - Science, 2015 - science.org
People learning new concepts can often generalize successfully from just a single example,
yet machine learning algorithms typically require tens or hundreds of examples to perform …
yet machine learning algorithms typically require tens or hundreds of examples to perform …
Hierarchically structured meta-learning
In order to learn quickly with few samples, meta-learning utilizes prior knowledge learned
from previous tasks. However, a critical challenge in meta-learning is task uncertainty and …
from previous tasks. However, a critical challenge in meta-learning is task uncertainty and …
An exploratory meta-analytic review on the empirical evidence of differential learning as an enhanced motor learning method
B Tassignon, J Verschueren, JP Baeyens… - Frontiers in …, 2021 - frontiersin.org
Background: Differential learning (DL) is a motor learning method characterized by high
amounts of variability during practice and is claimed to provide the learner with a higher …
amounts of variability during practice and is claimed to provide the learner with a higher …
Augmented visual, auditory, haptic, and multimodal feedback in motor learning: a review
It is generally accepted that augmented feedback, provided by a human expert or a technical
display, effectively enhances motor learning. However, discussion of the way to most …
display, effectively enhances motor learning. However, discussion of the way to most …
[HTML][HTML] The neuroscience of body memory: From the self through the space to the others
G Riva - Cortex, 2018 - Elsevier
Our experience of the body is not direct; rather, it is mediated by perceptual information,
influenced by internal information, and recalibrated through stored implicit and explicit body …
influenced by internal information, and recalibrated through stored implicit and explicit body …
Principles of sensorimotor learning
DM Wolpert, J Diedrichsen, JR Flanagan - Nature reviews neuroscience, 2011 - nature.com
Abstract The exploits of Martina Navratilova and Roger Federer represent the pinnacle of
motor learning. However, when considering the range and complexity of the processes that …
motor learning. However, when considering the range and complexity of the processes that …