The influence of task outcome on implicit motor learning.

Elife

Department of Psychology, University of California, Berkeley, Berkeley, United States.

Published: April 2019

Unlabelled: Recent studies have demonstrated that task success signals can modulate learning during sensorimotor adaptation tasks, primarily through engaging explicit processes. Here, we examine the influence of task outcome on implicit adaptation, using a reaching task in which adaptation is induced by feedback that is not contingent on actual performance. We imposed an invariant perturbation (rotation) on the feedback cursor while varying the target size. In this way, the cursor either hit or missed the target, with the former producing a marked attenuation of implicit motor learning. We explored different computational architectures that might account for how task outcome information interacts with implicit adaptation. The results fail to support an architecture in which adaptation operates in parallel with a model-free operant reinforcement process. Rather, task outcome may serve as a gain on implicit adaptation or provide a distinct error signal for a second, independent implicit learning process.

Editorial Note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed (see decision letter).

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6488295PMC
http://dx.doi.org/10.7554/eLife.39882DOI Listing

Publication Analysis

Top Keywords

task outcome
16
implicit adaptation
12
influence task
8
outcome implicit
8
implicit motor
8
motor learning
8
implicit
6
adaptation
6
task
5
outcome
4

Similar Publications

Objectives: This study aimed to validate the hazard perception task developed for Japanese drivers with brain damage.

Methods: A total of 36 professional driving instructors, 67 older adult drivers, 39 young drivers, and 72 patients with brain damage participated in the study. A video-based hazard perception task measured the hazard perception skills of each group.

View Article and Find Full Text PDF

This study investigated whether bidirectional transparency, compared to agent-to-human transparency, improved human-agent collaboration. Additionally, we examined the optimal transparency levels for both humans and agents. We assessed the impact of transparency direction and level on various metrics of a human-agent team, including performance, trust, satisfaction, perceived agent's teaming skills, and mental workload.

View Article and Find Full Text PDF

Generative artificial intelligence enables the generation of bone scintigraphy images and improves generalization of deep learning models in data-constrained environments.

Eur J Nucl Med Mol Imaging

January 2025

Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria.

Purpose: Advancements of deep learning in medical imaging are often constrained by the limited availability of large, annotated datasets, resulting in underperforming models when deployed under real-world conditions. This study investigated a generative artificial intelligence (AI) approach to create synthetic medical images taking the example of bone scintigraphy scans, to increase the data diversity of small-scale datasets for more effective model training and improved generalization.

Methods: We trained a generative model on Tc-bone scintigraphy scans from 9,170 patients in one center to generate high-quality and fully anonymized annotated scans of patients representing two distinct disease patterns: abnormal uptake indicative of (i) bone metastases and (ii) cardiac uptake indicative of cardiac amyloidosis.

View Article and Find Full Text PDF

In this paper, the European Academy of Dermatology and Venereology (EADV) Task Force on Quality of Life (QoL) and Patient-Oriented Outcomes presents its position statements on health-related (HR) QoL assessment in epidermolysis bullosa (EB). The EADV TF on QoL and Patient-Oriented Outcomes recommends the use of the EB-specific instrument QOLEB in patients over the age of 10 years and, in addition to the QOLEB, the use of iscorEB-p in moderate-to-severe EB; the IntoDermQoL proxy instrument with its EB-specific module should be used in children aged under 5 years. The EB-specific instrument iscorEB-p, and the dermatology-specific instrument CDLQI may measure HRQoL in children with EB aged from 5 to 10 years.

View Article and Find Full Text PDF

Background: To address the growing demand for psychological treatment, healthcare providers are increasingly utilising low-intensity interventions, characterised by reduced practitioner contact and emphasis on independent patient engagement with therapeutic materials through between-session work (BSW). While BSW is critical for maximising treatment outcomes, patients and practitioners report challenges with its completion. Research identifying factors influencing between-session engagement in Cognitive Behavioural Therapy (CBT) has largely focused on high-intensity CBT, limiting understanding within low-intensity contexts.

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!