AIMC Topic: Motivation
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Using Machine Learning to Predict Dementia from Neuropsychiatric Symptom and Neuroimaging Data.
Journal of Alzheimer's disease : JAD
Jan 1, 2020
BACKGROUND: Machine learning (ML) is a promising technique for patient-specific prediction of mild cognitive impairment (MCI) and dementia development. Neuropsychiatric symptoms (NPS) might improve the accuracy of ML models but have barely been used ...
Designing Configurable Arm Rehabilitation Games: How Do Different Game Elements Affect User Motion Trajectories?
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
For successful rehabilitation of a patient after a stroke or traumatic brain injury, it is crucial that rehabilitation activities are motivating, provide feedback and have a high rate of repetitions. Advancements in recent technologies provide soluti...
Virtual Reality Environments and Haptic Strategies to Enhance Implicit Learning and Motivation in Robot-Assisted Training.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jun 1, 2019
Motivation plays a crucial role in motor learning and neurorehabilitation. Participants' motivation could decline to a point where they may stop training when facing a very difficult task. Conversely, participants may perform well and consider the tr...
Brief Report: Evaluating the Utility of Varied Technological Agents to Elicit Social Attention from Children with Autism Spectrum Disorders.
Journal of autism and developmental disorders
Apr 1, 2019
Technological agents could be effective tools to be used in interventions for enhancing social orienting for some young children with ASD. We examined response to social bids in preschool children with ASD and typical development (TD) at a very early...
[Potential applications of deep learning-based technologies in Hungarian mammography].
Orvosi hetilap
Jan 1, 2019
INTRODUCTION AND AIM: The technology, named 'deep learning' is the promising result of the last two decades of development in computer science. It poses an unavoidable challenge for medicine, how to understand, apply and adopt the - today not fully e...
A murdered teen, two million tweets and an experiment to fight gun violence.
Nature
Sep 1, 2018
Distributed representations of action sequences in anterior cingulate cortex: A recurrent neural network approach.
Psychonomic bulletin & review
Feb 1, 2018
Anterior cingulate cortex (ACC) has been the subject of intense debate over the past 2 decades, but its specific computational function remains controversial. Here we present a simple computational model of ACC that incorporates distributed represent...
Robot ZORA in rehabilitation and special education for children with severe physical disabilities: a pilot study.
International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation
Dec 1, 2017
The aim of this study was to explore the potential of ZORA robot-based interventions in rehabilitation and special education for children with severe physical disabilities. A two-centre explorative pilot study was carried out over a 2.5-month period ...
Robotic Assistance for Training Finger Movement Using a Hebbian Model: A Randomized Controlled Trial.
Neurorehabilitation and neural repair
Aug 1, 2017
BACKGROUND: Robots that physically assist movement are increasingly used in rehabilitation therapy after stroke, yet some studies suggest robotic assistance discourages effort and reduces motor learning.
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