Generalization in learning of virtual upper limb movements is influenced by motor exploration.

Front Sports Act Living

Laboratory of Motor Control and Learning, Graduate School of Human and Environmental Studies, Kyoto University, Kyoto, Japan.

Published: March 2024

AI Article Synopsis

  • The study explored how new motor skills are learned and generalized, focusing on the process of motor exploration, which refers to the accumulation of different motor experiences.
  • Manipulating target shapes (small circular vs. bar-shaped) during practice helped examine the extent of learning transfer across different conditions.
  • Results showed that generalization occurs in motor learning and is influenced more by variability in movement rather than the specific shapes of the targets used.

Article Abstract

The acquisition of new motor skills from scratch, also known as learning, is an essential aspect of motor development. In learning, the ability to generalize skills acquired under one condition to others is crucial because of the inherently limited range of motor experiences available for learning. However, the presence of generalization in learning and its influencing factors remain unclear. This study aimed to elucidate the generalization of motor learning by examining the motor exploration process, which is the accumulation of motor experiences. To this end, we manipulated the exploration process during practice by changing the target shape using either a small circular target or a bar-shaped target. Our findings demonstrated that the amount of learning during practice was generalized across different conditions. Furthermore, the extent of generalization is influenced by movement variability in the control space, which is irrelevant to the task, rather than the target shapes themselves. These results confirmed the occurrence of generalization in learning and suggest that the exploration process within the control space plays a significant role in facilitating this generalization.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10950898PMC
http://dx.doi.org/10.3389/fspor.2024.1370621DOI Listing

Publication Analysis

Top Keywords

generalization learning
12
exploration process
12
motor exploration
8
motor experiences
8
control space
8
motor
7
learning
7
generalization
6
learning virtual
4
virtual upper
4

Similar Publications

Regulation of Dopamine Release by Tonic Activity Patterns in the Striatal Brain Slice.

ACS Chem Neurosci

January 2025

Departments of Psychiatry and Neurology, Division of Molecular Therapeutics, New York State Psychiatric Institute, Columbia University Medical Center, New York, New York 10032, United States.

Voluntary movement, motivation, and reinforcement learning depend on the activity of ventral midbrain neurons, which extend axons to release dopamine (DA) in the striatum. These neurons exhibit two patterns of action potential activity: low-frequency tonic activity that is intrinsically generated and superimposed high-frequency phasic bursts that are driven by synaptic inputs. acute striatal brain preparations are widely employed to study the regulation of evoked DA release but exhibit very different DA release kinetics than recordings.

View Article and Find Full Text PDF

Introduction: Wearables are electronic devices worn on the body to collect health data. These devices, like smartwatches and patches, use sensors to gather information on various health parameters. This review highlights current use and the potential benefit of wearable technology in patients with inflammatory bowel disease (IBD).

View Article and Find Full Text PDF

Automatic 4D mitral valve segmentation from transesophageal echocardiography: a semi-supervised learning approach.

Med Biol Eng Comput

January 2025

Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.

Performing automatic and standardized 4D TEE segmentation and mitral valve analysis is challenging due to the limitations of echocardiography and the scarcity of manually annotated 4D images. This work proposes a semi-supervised training strategy using pseudo labelling for MV segmentation in 4D TEE; it employs a Teacher-Student framework to ensure reliable pseudo-label generation. 120 4D TEE recordings from 60 candidates for MV repair are used.

View Article and Find Full Text PDF

Improving Molecular Design with Direct Inverse Analysis of QSAR/QSPR Model.

Mol Inform

January 2025

Department of Applied Chemistry, School of Science and Technology, Meiji University, 1-1-1 Higashi-Mita, Tama-ku, Kawasaki, Kanagawa 214-8571, Japan.

Recent advances in machine learning have significantly impacted molecular design, notably the molecular generation method combining the chemical variational autoencoder (VAE) with Gaussian mixture regression (GMR). In this method, a mathematical model is constructed with X as the latent variable of the molecule and Y as the target properties and activities. Through direct inverse analysis of this model, it is possible to generate molecules with the desired target properties.

View Article and Find Full Text PDF

Background: People with intellectual disabilities (IDs) require more vision care but encounter considerable challenges during eye examinations. Specialised clinics established specifically for people with IDs are generally limited. This study aims to evaluate primary family caregivers' willingness to pay (WTP) for specialised ophthalmology services designed for people with IDs.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!