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Experiment-free exoskeleton assistance via learning in simulation.

Nature
Exoskeletons have enormous potential to improve human locomotive performance. However, their development and broad dissemination are limited by the requirement for lengthy human tests and handcrafted control laws. Here we show an experiment-free meth...

Does lifelong learning matter for the subjective wellbeing of the elderly? A machine learning analysis on Singapore data.

PloS one
Our study explores whether lifelong learning is associated with the subjective wellbeing among the elderly in Singapore. Through a primary survey of 300 individuals aged 65 and above, we develop a novel index to capture three different aspects of sub...

Bio-inspired multimodal learning with organic neuromorphic electronics for behavioral conditioning in robotics.

Nature communications
Biological systems interact directly with the environment and learn by receiving multimodal feedback via sensory stimuli that shape the formation of internal neuronal representations. Drawing inspiration from biological concepts such as exploration a...

Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks.

PLoS computational biology
Striking progress has been made in understanding cognition by analyzing how the brain is engaged in different modes of information processing. For instance, so-called synergistic information (information encoded by a set of neurons but not by any sub...

The educational impact of technology-enhanced learning in regional anaesthesia: a scoping review.

British journal of anaesthesia
BACKGROUND: Effective training in regional anaesthesia (RA) is paramount to ensuring widespread competence. Technology-based learning has assisted other specialties in achieving more rapid procedural skill acquisition. If applicable to RA, technology...

Investigation of Motor Learning Effects Using a Hybrid Rehabilitation System Based on Motion Estimation.

Sensors (Basel, Switzerland)
Upper-limb paralysis requires extensive rehabilitation to recover functionality for everyday living, and such assistance can be supported with robot technology. Against such a background, we have proposed an electromyography (EMG)-driven hybrid rehab...

Evidence-Based Learning Strategies in Medicine Using AI.

JMIR medical education
Large language models (LLMs), like ChatGPT, are transforming the landscape of medical education. They offer a vast range of applications, such as tutoring (personalized learning), patient simulation, generation of examination questions, and streamlin...

Automated discovery of symbolic laws governing skill acquisition from naturally occurring data.

Nature computational science
Skill acquisition is a key area of research in cognitive psychology as it encompasses multiple psychological processes. The laws discovered under experimental paradigms are controversial and lack generalizability. This paper aims to unearth the laws ...

Understanding Human Cognition Through Computational Modeling.

Topics in cognitive science
One important goal of cognitive science is to understand the mind in terms of its representational and computational capacities, where computational modeling plays an essential role in providing theoretical explanations and predictions of human behav...

Providing insights into health data science education through artificial intelligence.

BMC medical education
BACKGROUND: Health Data Science (HDS) is a novel interdisciplinary field that integrates biological, clinical, and computational sciences with the aim of analysing clinical and biological data through the utilisation of computational methods. Trainin...